The most influential peer-reviewed research on electromagnetic field health effects, ranked by how often they've been cited by other scientists.
100
Highly Cited Studies
366,381
Total Citations
54,976
Most Citations (Single Study)
When a scientific paper is cited by other researchers, it indicates that the work is considered valuable and influential in the field. High citation counts suggest that these studies have shaped our understanding of EMF health effects and are widely recognized by the scientific community.
Unknown authors · 2007
This 2007 global cancer analysis examined worldwide cancer patterns, finding that 56% of new cases and 64% of deaths occurred in developing countries. The study revealed breast cancer as the leading cause of female cancer deaths globally, while lung cancer dominated male cancer mortality at 23% of deaths.
The ICNIRP guidelines set safety limits based on exposure intensity et al. · 1999
This analysis reveals a critical flaw in current EMF safety standards: they only consider short-term exposure windows of 6-30 minutes, completely ignoring cumulative health effects from long-term real-world exposure. Research shows that EMF effects can be biphasic, appearing protective initially but becoming harmful with extended exposure over time.
To date et al. · 2014
This 2014 research review examined the limited state of long-term EMF studies, particularly focusing on children's vulnerability to electromagnetic radiation. The authors found very few human epidemiological studies exist, but animal studies lasting up to one year suggest children and adolescents may face heightened risks from EMF exposure.
Unknown authors · 1990
This isn't actually an EMF health study, but rather methodological guidance for improving how observational health studies are reported. The STROBE Statement provides a 22-item checklist to help researchers better document their study methods and findings. This matters because poor reporting makes it difficult to evaluate study quality and apply results to real-world health decisions.
Unknown authors · 2013
This appears to be a technical overview paper about Internet of Things (IoT) technologies, protocols, and applications rather than an EMF health study. The abstract discusses RFID sensors, communication technologies, and machine-to-machine connectivity. No health effects or biological impacts from electromagnetic field exposure were actually studied.
Unknown authors · 1997
This 1997 study published in Occupational and Environmental Medicine examined the relationship between social connections and mortality risk. The research found that the impact of social relationships on death rates is comparable to well-established mortality risk factors like smoking or obesity. The study highlights how isolation and poor social connections can be as harmful to health as recognized physical risk factors.
Zhen J, Qian Y, Fu J, Su R, An H, Wang W , Zheng Y, Wang X · 2017
This global study analyzed height and weight data from 128.9 million people across 200 countries from 1975 to 2016 to track childhood obesity trends. Researchers found that childhood obesity rates increased dramatically worldwide, rising from less than 1% to 5.6% in girls and 7.8% in boys. The study reveals that while obesity rates have plateaued in wealthy countries, they continue accelerating in parts of Asia.
Lin Y et al. · 2025
This study appears to be about artificial intelligence and machine learning, specifically showing how large language models can develop reasoning abilities through reinforcement learning without human guidance. However, this research has no connection to electromagnetic fields (EMF) or health effects and seems to be incorrectly categorized in an EMF database.
Tang W, He D, Li X, Feng Y, Xu Y, Hu J, Xu W, Xue L · 2025
This study appears to focus on artificial intelligence development rather than EMF health effects. Researchers developed a new AI model called DeepSeek-R1 that can learn complex reasoning through reinforcement learning without human demonstrations. The model showed improved performance on mathematics, coding, and STEM problems compared to traditional training methods.
Wang K et al. · 2025
This study appears to be incorrectly categorized in an EMF research database. The research actually focuses on artificial intelligence and machine learning, specifically developing a new AI model called DeepSeek-R1 that uses reinforcement learning to improve reasoning abilities without human demonstrations. The study has no connection to electromagnetic fields or health effects.
Li J et al. · 2025
This study describes DeepSeek-R1, a new artificial intelligence model that learns complex reasoning through reinforcement learning without human examples. The researchers found that AI systems can develop advanced problem-solving abilities including self-reflection and strategy adaptation, achieving superior performance in mathematics, coding, and STEM fields compared to traditional training methods.
Sun L et al. · 2025
This study appears to be incorrectly categorized as EMF research. The abstract describes DeepSeek-R1, an artificial intelligence model that uses reinforcement learning to improve reasoning abilities without human demonstrations. The research focuses on AI development and machine learning capabilities, not electromagnetic field health effects.
Sun L et al. · 2025
This study describes DeepSeek-R1, a new artificial intelligence model that can develop advanced reasoning abilities through reinforcement learning without requiring human-annotated examples. The research shows that AI systems can spontaneously develop complex problem-solving patterns like self-reflection and strategy adaptation, achieving superior performance on mathematical and coding tasks compared to traditionally trained models.
Lin Y et al. · 2025
This study appears to be incorrectly categorized in the EMF Research Hub database. The research actually focuses on artificial intelligence and machine learning, specifically developing a new AI model called DeepSeek-R1 that uses reinforcement learning to improve reasoning abilities. The study has no connection to electromagnetic fields or health effects.
Wang J et al. · 2025
This study appears to be misclassified in an EMF research database, as it actually describes DeepSeek-R1, an artificial intelligence model that uses reinforcement learning to improve reasoning abilities. The research demonstrates that AI systems can develop advanced problem-solving skills without human-annotated training data. This represents a significant advancement in artificial intelligence capabilities rather than EMF health research.
Wang J et al. · 2025
This study appears to be misclassified in the EMF Research Hub database - it actually describes DeepSeek-R1, an artificial intelligence model trained through reinforcement learning to improve reasoning abilities. The research demonstrates that AI systems can develop advanced reasoning patterns without human-labeled examples, achieving superior performance on mathematics, coding, and STEM problems.
Ma S, Li S, Wang H, Li Y, Lu C, Li X · 2025
This study appears to be misclassified in the EMF Research Hub database. The research actually focuses on developing DeepSeek-R1, an artificial intelligence model that uses reinforcement learning to improve reasoning abilities without human demonstrations. The study has no connection to electromagnetic field exposure or health effects.
Wang J et al. · 2025
This study appears to be misclassified in an EMF research database, as it actually focuses on artificial intelligence and machine learning rather than electromagnetic field health effects. The research demonstrates that AI language models can develop advanced reasoning abilities through reinforcement learning without human guidance, introducing a new model called DeepSeek-R1.
Unknown authors · 2010
This appears to be a climate change report that was incorrectly categorized as EMF research. The abstract describes an IPCC climate assessment covering physical climate science, impacts, adaptation, and mitigation strategies. No electromagnetic field research or health effects were actually studied in this document.
Speit G, Richard Gminski, Tauber R · 2013
This appears to be a cosmology study analyzing cosmic microwave background radiation from the Planck satellite, not an EMF health study. The research examined the universe's fundamental parameters and structure, finding support for standard cosmological models. This study has no relevance to electromagnetic field health effects or biological systems.
Zhou Z, Shan J, Zu J, Chen Z, Ma W, Li L, Xu J · 2016
This comprehensive 2016 Global Burden of Disease study analyzed 79 environmental, behavioral, and occupational risk factors affecting human health worldwide from 1990 to 2015. The research found that all studied risks combined accounted for 57.8% of global deaths and 41.2% of disability-adjusted life years, with environmental pollutants like ambient particulate matter ranking among the top 10 contributors to global disease burden.
Su L, Zhao C, Jin Y, Lei Y, Lu L, Chen G · 2018
This 2018 meta-analysis examined whether parents' occupational exposure to extremely low frequency magnetic fields increases their children's risk of developing nervous system tumors. The research analyzed multiple studies to determine if workplace EMF exposure in parents correlates with higher rates of childhood brain and nervous system cancers.
Li Y, Sun C, Zhou H, Huang H, Chen Y, Duan X, Huang S, Li J · 2022
This appears to be a machine learning study about improving language model performance through instruction fine-tuning, not an EMF health study. The abstract discusses training AI models on various tasks and benchmarks like MMLU and BBH. This study has no relevance to electromagnetic field health effects or biological impacts.
Unknown authors · 1997
This 2020 comprehensive review examined head and neck squamous cell carcinoma (HNSCC), a cancer affecting the mouth, throat, and voice box areas. The study found that while tobacco and alcohol remain major risk factors, human papillomavirus (HPV) infections are increasingly driving these cancers, particularly in the throat region. This matters because understanding cancer mechanisms helps identify all potential contributing factors, including environmental exposures.
Zou L et al. · 2021
This 2021 study provides updated guidelines for researchers studying autophagy, the cellular process where cells break down and recycle their own components. The authors emphasize that no single test method is perfect and recommend using multiple techniques to properly assess autophagy in laboratory studies.
Kundu A et al. · 2021
This 2021 study provides updated scientific guidelines for researchers studying autophagy, the cellular process where cells break down and recycle damaged components. The researchers emphasize that proper autophagy research requires multiple testing methods and careful interpretation, as many proteins involved in autophagy also control other cellular functions including cell death.
Tang J et al. · 2015
Researchers analyzed genetic mutations in 279 head and neck cancers to understand what drives these tumors. They found distinct genetic patterns: HPV-related cancers had specific PIK3CA mutations, while smoking-related cancers showed nearly universal TP53 gene damage. The study identified potential therapeutic targets in most cases.
Peng L, Fu C, Liang Z, Zhang Q, Xiong F, Chen L, He C, Wei Q · 2020
This study analyzed 1,590 COVID-19 patients across 31 Chinese provinces to understand how underlying health conditions affect disease severity. Researchers found that patients with conditions like diabetes, hypertension, and COPD had significantly worse outcomes, with those having multiple conditions facing the highest risk of intensive care, ventilation, or death.
Kim J, Yoon Y, Yun S, Park GS, Lee HJ, Song K · 2012
This study sequenced the complete genome of domesticated tomatoes and compared it to wild tomatoes and potatoes. Researchers found that domesticated and wild tomatoes are genetically very similar (only 0.6% difference) but both differ significantly from potatoes (8% difference). The work reveals how genome duplications over evolutionary time allowed tomatoes to develop their distinctive fruit characteristics like color and flesh texture.
Chen G, Lu D, Chiang H, Leszczynski D, Xu Z · 2012
This study sequenced the genome of domesticated tomatoes and compared it to wild tomatoes and potatoes, finding minimal genetic differences between cultivated and wild varieties. The research revealed that tomato plants experienced two major genome duplications in their evolutionary history, which helped create the genetic diversity that allows for different fruit characteristics. This genomic research provides insights into how plants develop their traits and could inform agricultural breeding programs.
Chen G, Lu D, Chiang H, Leszczynski D, Xu Z · 2012
This study sequenced the complete genome of domesticated tomato plants and compared it to wild tomato varieties and potato plants. Researchers found that tomato varieties differ by only 0.6% genetically but diverge 8% from potatoes, with evidence of ancient genome duplications that enabled fruit development. The research provides insights into how plant genomes evolve and adapt.
Lu Y et al. · 2012
This study sequenced the complete genome of domesticated tomatoes and compared it to wild tomatoes and potatoes. Researchers found that domesticated and wild tomatoes differ by only 0.6% genetically, while both differ from potatoes by over 8%. The work reveals how gene duplications through ancient genome triplications enabled the evolution of fruit characteristics like color and flesh texture.
Unknown authors · 2021
This comprehensive review examined how free radicals damage cells and contribute to major diseases including cancer, diabetes, and neurological disorders. Researchers found that free radicals from both internal body processes and external sources like radiation can attack DNA, proteins, and cell membranes. The study highlights radiation as a key environmental source of harmful free radicals that drive disease development.
Lee K-S, Choi J-S, Hong S-Y, Son T-H, Yu K · 2008
This study established standardized guidelines for researchers studying autophagy, a cellular process where cells break down and recycle their own components. The research emphasized the importance of using multiple testing methods to accurately measure autophagy activity rather than relying on single assays. These guidelines help ensure consistent and reliable autophagy research across different laboratories and organisms.
Lee K-S, Choi J-S, Hong S-Y, Son T-H, Yu K · 2008
This study established scientific guidelines for measuring autophagy, a cellular cleanup process where cells break down damaged components. The research provided standardized methods for researchers to properly study how autophagy works in different organisms. These guidelines help ensure accurate measurement of cellular health and stress responses.
Unknown authors · 1997
This appears to be a misclassified study that actually reviews hydrogel materials used in medical applications like contact lenses and wound dressings, not EMF research. The abstract discusses biocompatible polymers and their tissue-like properties for biomedical uses, with no mention of electromagnetic fields or radiation effects.
Unknown authors · 2001
This appears to be a 2016 European Society of Cardiology position paper on cancer treatments and cardiovascular toxicity, written in Polish. The study information provided seems incomplete or mismatched, as the abstract describes cardiology research rather than EMF effects, and shows no electromagnetic field exposure or biological effects.
Fan W, Huang Z, Fan B · 2018
Researchers developed a DNA methylation-based system to accurately classify brain tumors, addressing the significant diagnostic challenges in identifying the approximately 100 known central nervous system tumor types. The new method changed diagnoses in up to 12% of cases compared to standard pathological examination, demonstrating substantially improved diagnostic precision.
Deniz OG, Kaplan S · 2022
This appears to be a machine learning benchmark study called BIG-bench that evaluated AI language models on 204 diverse tasks, not an EMF health study. The abstract describes testing various AI models including GPT on tasks ranging from linguistics to physics, finding that model performance improves with scale but remains poor compared to human experts.
Su L, Wei X, Xu Z, Chen G · 2017
This study describes the first detection of gravitational waves from colliding neutron stars by the LIGO and Virgo detectors in August 2017. The discovery provided unprecedented insight into cosmic events and confirmed theoretical predictions about neutron star mergers. This represents a breakthrough in astrophysics rather than EMF health research.
Jiang B, Nie J, Zhou Z, Zhang J, Tong J, Cao Y · 2012
This study examined neutrino detection at the Daya Bay nuclear reactor facility, measuring particle interactions from six reactors using underground detectors at different distances. Researchers detected over 90,000 antineutrino events and found evidence for a specific type of neutrino oscillation. This is particle physics research, not EMF health research.
Unknown authors · 2018
This comprehensive review examines long non-coding RNAs (lncRNAs), which are genetic sequences that don't make proteins but regulate many cellular processes including development, metabolism, and disease. The research shows these RNA molecules control gene expression, organize cellular structures, and play crucial roles in how cells respond to environmental stresses. This matters because understanding lncRNAs could reveal new mechanisms by which electromagnetic fields affect biological systems.
Rodriguez C et al · 2004
This 2004 review examined how melatonin, the hormone that regulates sleep, controls the body's antioxidant enzyme defenses against cellular damage. Researchers found that melatonin directly regulates key protective enzymes like glutathione peroxidase, superoxide dismutase, and catalase both under normal conditions and during oxidative stress. This matters because these enzymes form our first line of defense against free radical damage that can lead to disease and aging.
Rodriguez C et al · 2004
This 2004 review examined how melatonin, the body's natural sleep hormone, regulates key antioxidant enzymes that protect cells from oxidative damage. The research found that melatonin enhances the activity and production of critical protective enzymes including glutathione peroxidase, superoxide dismutase, and catalase. This matters because these enzymes form our cellular first line of defense against harmful free radicals.
Cheng L, Yang B, Du H, Zhou T, Li Y, Wu J, Cao Z, Xu A · 2022
Researchers used the tiny worm C. elegans to study how static magnetic fields affect behavior and fat storage. They found that moderate-intensity magnetic fields changed the worms' avoidance behaviors and altered their fat metabolism through the serotonin neurotransmitter system. This research helps scientists understand how magnetic field exposure can influence biological processes at the cellular level.
Zhang Y et al. · 2022
This major genetic study analyzed DNA from over 76,000 people with schizophrenia and 243,000 controls to identify genes that increase disease risk. Researchers found 287 genetic locations linked to schizophrenia, with many affecting brain cell communication and development. The findings reveal how genetic variations disrupt normal brain function and may guide future treatments.
Cheng L, Yang B, Du H, Zhou T, Li Y, Wu J, Cao Z, Xu A · 2022
This massive genetic study analyzed DNA from over 320,000 people to identify genes linked to schizophrenia. Researchers found 287 genetic locations associated with the disorder, with many concentrated in brain cells that control neural communication. The findings reveal how genetic variations affect fundamental brain processes like synaptic transmission and neuronal development.
Kumar S, Behari J, Sisodia R · 2012
This study appears to be misclassified in the EMF database, as it actually examined genetic variants associated with type 2 diabetes in nearly 150,000 people. The researchers identified ten new genetic locations linked to diabetes risk and found that some genetic factors affect men and women differently.
Kumar S, Behari J, Sisodia R · 2012
Researchers analyzed genetic data from nearly 150,000 people to identify ten new genetic locations linked to type 2 diabetes risk. The study found that some genetic variants affect men and women differently, and identified biological processes like cell cycle regulation that contribute to diabetes development.
Lai J et al. · 2016
This study analyzed genetic profiles from over 1,100 brain tumor samples to better understand diffuse gliomas (a type of brain cancer). Researchers found specific genetic mutations that help classify these tumors and predict patient outcomes. The findings may improve treatment approaches by identifying distinct molecular subtypes of brain tumors.
Choi Y-K et al. · 2017
The Global Burden of Disease Study 2016 analyzed 84 risk factors affecting human health worldwide from 1990 to 2016, including environmental and occupational exposures. The study found that metabolic risks like obesity and high blood pressure now cause the greatest disease burden globally, while environmental risks showed mixed trends. This comprehensive analysis helps identify which health risks deserve the most policy attention and resources.
Hao Y, Yang X, Chen C, Yuan-Wang, Wang X, Li M, Yu Z · 2010
This study sequenced the genome of Brachypodium distachyon, a wild grass species that serves as a model organism for studying larger grass crops like wheat. Researchers mapped the complete genetic blueprint of this plant to better understand grass evolution and develop improved food and energy crops. The work provides a foundation for genetic research on economically important grasses.
Unknown authors · 2021
This appears to be a chemistry research paper about polymer synthesis techniques, not an EMF health study. The abstract discusses reversible addition-fragmentation chain transfer (RAFT) polymerization methods and reviews over 700 publications on polymer chemistry from 2009-2012. This study has no relevance to electromagnetic field health effects or biological impacts.
Wertheimer N, Leeper E · 1979
Researchers in Colorado studied homes where children developed cancer between 1976-1977 and found an excess of electrical wiring configurations that suggested high current flow near these homes compared to control homes. The correlation appeared strongest for children who had lived at the same address their entire lives and showed a dose-response relationship.
Sharma A, Shrivastava S, Shukla S · 2021
This study examined how different radiofrequency electromagnetic fields damage liver and brain tissue in rats through oxidative stress. Researchers found that RF exposure caused measurable biochemical changes and tissue damage in both organs, with effects varying by frequency. The findings provide direct evidence that wireless radiation can harm vital organs through cellular oxidation processes.
This review presents the findings of more than 100 studies that were published in reputable scientific journals et al. · 2017
This appears to be a meta-analysis or review examining findings from over 100 studies published in peer-reviewed scientific journals, though specific details about the research focus, methodology, and conclusions are not provided in the available information. Without access to the actual study content, the scope and significance of the findings cannot be determined.
Bianchi A, Phillips JG. · 2005
Researchers at Monash University studied personality traits that predict problematic mobile phone use, developing a scale to measure phone addiction-like behaviors. They found that younger people, extraverts, and those with low self-esteem were most likely to develop problematic phone use patterns. This matters because these same groups are at higher risk for dangerous behaviors like texting while driving.
Heath CW Jr · 1996
This 1996 systematic review examined epidemiological evidence linking electromagnetic field exposure to cancer development. The study analyzed population-based research to determine whether EMF exposure increases cancer risk in humans. The review represents an early comprehensive assessment of EMF-cancer connections during a pivotal period in EMF health research.
Kim JH, Kim HJ, Yu DH, Kweon HS, Huh YH, Kim HR · 2017
Researchers analyzed childhood cancer data from 153 cancer registries across 62 countries from 2001-2010, tracking 385,509 cases in children under 20. The study found that childhood cancer rates increased 13% globally since the 1980s, rising from 124 to 140.6 cases per million children. This represents the largest international comparison of childhood cancer trends ever conducted.
Wang Y, Sun Y, Zhang Z, Li Z, Zhang H, Liao Y, Tang C, Cai P · 2020
This large-scale study examined diabetes rates across mainland China from 2015-2017, surveying nearly 76,000 adults nationwide. Researchers found that 12.8% of Chinese adults have diabetes, with significant regional variations ranging from 6.2% to 19.9% across provinces. The findings reveal diabetes as a major public health challenge in China, with rates slightly increasing over the past decade.
Kumar S, Behari J, Sisodia R · 2013
This study appears to have incorrect metadata - the abstract describes multiple myeloma cancer treatment outcomes over a 10-year period, not EMF research. The abstract shows improved survival rates for cancer patients, particularly those over 65, with newer drug therapies introduced after 2006.
Kumar S, Behari J, Sisodia R · 2013
This study tracked 1,038 multiple myeloma patients from 2001-2010, comparing survival rates between two time periods. Patients diagnosed in 2006-2010 lived significantly longer (6.1 years median survival) compared to those diagnosed in 2001-2005 (4.6 years), with the greatest improvements seen in patients over 65.
Zhou J et al. · 2024
The Global Burden of Disease Study 2021 analyzed 88 risk factors across 204 countries to determine their contribution to disease burden worldwide. Air pollution was the leading risk factor, contributing 8% of total disease burden, while metabolic risks like high blood pressure and diabetes increased dramatically. The study reveals a global shift from infectious diseases to chronic conditions driven by aging populations and lifestyle changes.
Li M et al. · 2021
This study appears to be about gravitational wave detection from space-based instruments, not electromagnetic field health effects. The research catalogs gravitational waves from colliding black holes and neutron stars detected by Advanced LIGO and Virgo observatories. This is unrelated to EMF health research and focuses on astrophysical phenomena.
Redelmeier DA, Tibshirani RJ · 1997
Researchers analyzed phone records from 699 drivers who had been in car accidents to see if cell phone use increased crash risk. They found that drivers were four times more likely to crash while using their phone compared to when they weren't, with hands-free devices offering no safety advantage over handheld phones. The study suggests that the mental distraction of phone conversations, not just physical handling, creates the danger.
Thomée S, Härenstam A, Hagberg M · 2011
Swedish researchers followed over 4,000 young adults for one year to examine how mobile phone use patterns affect mental health. They found that heavy phone use and feeling stressed about constant accessibility were linked to increased depression, sleep problems, and stress symptoms. The study suggests that how we use our phones psychologically may matter as much as how often we use them.
Thomée S, Härenstam A, Hagberg M · 2011
Swedish researchers followed over 4,000 young adults for one year to examine how mobile phone use patterns affect mental health. They found that heavy phone use, feeling stressed about constant accessibility, and phone overuse were linked to increased stress, sleep problems, and depression symptoms. The study suggests that how we use our phones psychologically may be as important as how much we use them.
Kim JH et al. · 2021
This appears to be clinical practice guidelines for colon cancer treatment, not an EMF research study. The abstract discusses systemic therapy options, checkpoint inhibitors, and biomarker testing for metastatic colorectal cancer. No electromagnetic field exposure or health effects were studied in this medical oncology guideline.
Thomée S, Härenstam A, Hagberg M · 2011
Swedish researchers followed over 4,000 young adults for one year to examine whether mobile phone use patterns affect mental health. They found that heavy phone users were more likely to experience stress, sleep problems, and depression symptoms, with the strongest effects among those who felt pressured to always be accessible. The study suggests that how we use our phones psychologically matters as much as how often we use them.
Thomée S, Härenstam A, Hagberg M. · 2011
Swedish researchers followed over 4,000 young adults for one year to examine how mobile phone use affects mental health. They found that heavy phone users were significantly more likely to develop stress, sleep problems, and depression symptoms compared to light users. The strongest predictor wasn't just frequency of use, but feeling stressed about being constantly accessible through their phone.
Ji S, Oh E, Sul D, Choi JW, Park H, Lee E · 2004
This study examined the Large Hadron Collider's data processing system, which operates at 40 MHz radiofrequency. Researchers analyzed how to efficiently filter the massive amounts of particle collision data generated at this frequency. The work focused on technical performance rather than biological effects.
Yao K, Wang KJ, Sun ZH, Tan J, Xu W, Zhu LJ, Lu de Q · 2004
This study appears to be about particle physics detector systems at CERN's Large Hadron Collider, specifically analyzing trigger mechanisms that filter collision data. The research focuses on reducing data processing rates from 40 MHz to manageable levels for permanent storage. This is not an EMF health study but rather technical physics research about particle accelerator operations.
Li H et al. · 2015
This paper describes the Jiangmen Underground Neutrino Observatory (JUNO), a massive underground detector designed to study neutrinos from nuclear power plants and cosmic sources. The research focuses on particle physics rather than health effects, examining how neutrinos behave and interact. This is not an EMF health study but rather a physics experiment to understand fundamental particles.
Cao H, Qin F, Liu X, Wang J, Cao Y, Tong J, Zhao H · 2015
This study describes the JUNO neutrino detector, a massive underground facility designed to study neutrinos from nuclear power plants and cosmic sources. While not directly about EMF health effects, it highlights how nuclear facilities generate detectable radiation particles that travel vast distances. The research demonstrates the pervasive nature of radiation in our environment from both human-made and natural sources.
Zheng F et al. · 2015
This study describes the Jiangmen Underground Neutrino Observatory (JUNO), a massive underground detector designed to study neutrinos from nuclear power plants and cosmic sources. The research focuses on fundamental particle physics rather than health effects, examining how neutrinos behave and interact in different environments. While not directly related to EMF health research, it demonstrates the sophisticated detection methods used to study radiation particles.
Unknown authors · 1998
This study appears to be misclassified in the EMF database, as it actually reviews therapeutic cancer vaccines rather than electromagnetic field research. The paper discusses how cancer vaccines work by stimulating immune responses and explores methods to overcome the immunosuppressive environment that tumors create. This represents a database cataloging error rather than EMF-related health research.
Strayer DL, Drews FA, Johnston WA. · 2003
Researchers at the University of Utah studied how hands-free cell phone conversations affect driving performance using eye-tracking technology and simulated driving tests. They found that phone conversations caused drivers to miss important visual information like braking vehicles and roadside billboards, even when their eyes were looking directly at these objects. This suggests that cell phone use creates a form of 'inattention blindness' where the brain fails to process visual information despite the eyes seeing it.
Bai W, Li M, Xu W, Zhang M · 2021
This study appears to be misclassified in the EMF Research Hub database. The research actually focuses on carbon neutrality and climate change solutions, not electromagnetic field health effects. The authors reviewed innovative technologies for renewable energy, sustainable food systems, and carbon capture to achieve global carbon neutrality by 2050.
Sun C, Wei X, Fei Y, Su L, Zhao X, Chen G, Xu Z · 2016
This study describes the first detection of gravitational waves by Advanced LIGO detectors between September 2015 and January 2016, confirming two black hole merger events and one possible additional signal. The research validates Einstein's general relativity predictions and provides new insights into cosmic events involving massive black holes colliding in space.
Cheng Y et al. · 2015
This study appears to focus on particle physics modeling rather than electromagnetic field health effects. The research involves tuning computer simulation parameters for particle collision experiments at facilities like CERN, not biological EMF exposure studies. The abstract describes Monte Carlo event generators and proton collision data analysis.
Gupta N, Goyal D, Sharma R, Arora KS · 2015
This study appears to be misclassified in the EMF health database. The research actually focuses on particle physics modeling for high-energy proton collisions at particle accelerators, not electromagnetic field health effects. The abstract describes computer simulations used to predict particle behavior in physics experiments, with no biological organisms or health outcomes studied.
Ye W, Wang F, Zhang W, Fang N, Zhao W, Wang J · 2016
Researchers analyzed genetic mutations in 1,144 lung cancer samples, comparing two main types: adenocarcinoma and squamous cell carcinoma. They discovered new cancer-driving genes and found that nearly half of all lung tumors contained enough genetic changes to potentially respond to immunotherapy treatments.
Ye W, Wang F, Zhang W, Fang N, Zhao W, Wang J · 2016
Researchers analyzed genetic sequences from 1,144 lung cancer tumors to identify new cancer-driving genes and mutations. They found that lung adenocarcinoma and squamous cell carcinoma have distinct genetic profiles, with several newly identified genes that contribute to cancer development. The study suggests both cancer types could benefit from immunotherapy treatments.
Sun C, Wei X, Yimaer A, Xu Z, Chen G · 2018
This study describes the physics research program for the Belle II particle accelerator experiment, which studies high-energy particle collisions to understand fundamental physics. The research focuses on particle decay processes, not electromagnetic field health effects. This appears to be incorrectly categorized as an EMF health study.
Yang H, Zhang Y, Wang Z, Zhong S, Hu G, Zuo W · 2020
This study examined tissue damage in three COVID-19 patients who died from the disease, using minimally invasive autopsies to analyze multiple organs. Researchers found significant lung damage including inflammation, cell death, and viral particles in lung tissue, plus damage to the spleen, heart, liver, and kidneys. The findings help explain how COVID-19 affects multiple organ systems beyond just the lungs.
Hu S et al. · 2014
This study analyzed genetic data from over 110,000 people across multiple ethnic groups to identify genes that increase type 2 diabetes risk. Researchers found seven new genetic locations linked to diabetes susceptibility and discovered that diabetes risk genes are remarkably consistent across different populations. The findings improve our understanding of the genetic basis of diabetes and demonstrate the value of studying diverse populations together.
Lu Y et al. · 2014
This study analyzed genetic data from over 110,000 people across multiple ethnic groups to identify genes that increase type 2 diabetes risk. Researchers found seven new genetic locations linked to diabetes susceptibility and discovered that diabetes risk genes work similarly across different populations. The findings improve our understanding of the genetic factors that contribute to diabetes development.
Hu S et al. · 2014
This study analyzed genetic data from over 110,000 people across multiple ethnic groups to identify genes that increase type 2 diabetes risk. Researchers discovered seven new genetic locations linked to diabetes susceptibility and found that risk genes are remarkably consistent across different populations. The findings advance our understanding of diabetes genetics and could lead to better prevention strategies.
Liu H et al. · 2014
This study analyzed genetic data from over 110,000 people across multiple ethnic groups to identify genes that increase type 2 diabetes risk. Researchers found seven new genetic locations linked to diabetes susceptibility and discovered that risk genes show consistent patterns across different populations. The findings demonstrate how studying diverse populations can improve our understanding of complex diseases like diabetes.
Unknown authors · 2013
This 2013 systematic review examined the health impacts of excessive daily use of mobile phones, television, and video games. The research found that sedentary behavior from screen time may independently affect health beyond just lack of physical activity, though the relationship varies by age group and type of device. The findings highlight that our understanding of how prolonged screen exposure affects health remains incomplete.
Ahlbom A et al · 2000
Researchers combined data from nine studies involving over 13,000 children to examine the link between power line magnetic fields and childhood leukemia. They found that 99.2% of children living in homes with low magnetic field exposure (below 0.4 microTesla) showed no increased cancer risk, but the small group exposed to higher levels had double the leukemia risk. This represents the largest analysis of its kind and confirms earlier concerns about high-level residential magnetic field exposure.
Choi Y-J, Choi Y-S · 2016
Researchers created and observed 'time crystals' - exotic quantum states that repeat patterns in time - using diamond impurities at room temperature. These quantum systems maintained their unusual temporal order even when disturbed, demonstrating remarkable stability. The discovery opens new possibilities for understanding how quantum matter behaves when driven out of equilibrium.
Nirwane A, Sridhar V, Majumdar A · 2016
This appears to be a physics study about measuring jet energy in particle accelerator experiments, not EMF health research. The study focused on improving measurement techniques for high-energy particle collisions at the CMS detector, achieving better precision in energy calculations for jets produced in proton collisions.
Nirwane A, Sridhar V, Majumdar A · 2016
This study appears to be about particle physics experiments at the Large Hadron Collider, specifically measuring jet energy in proton collisions. The research focused on improving measurement accuracy for high-energy particle interactions, not electromagnetic field health effects. The abstract discusses calibration methods for particle detection equipment rather than biological or health-related findings.
Chou C-K, A Guy, LL Kunz, RB Johnson, JJ Crowley and J · 1992
This 2020 review study examined regulatory T cells (Tregs) in cancer environments, focusing on how these immune cells suppress the body's natural cancer-fighting responses. The researchers analyzed various molecular pathways and receptors that control Treg function and evaluated potential therapeutic strategies. The findings highlight the challenge of targeting these cells for cancer treatment without compromising the immune system's normal protective functions.
Unknown authors · 1999
Researchers studied 393 college football players to examine how previous concussions and learning disabilities affect brain function. They found that players with multiple concussions and learning disabilities performed significantly worse on cognitive tests, and neuropsychological testing could identify recent concussions with 89.5% accuracy. The study suggests these factors may work together to harm brain performance.
Zhang Y, Liu X, Zhang J, Li N · 2015
This study examined genetic factors in major depressive disorder by analyzing DNA from over 10,000 Chinese women, finding two specific gene locations linked to depression risk. The research identified genetic variants near the SIRT1 and LHPP genes that contribute to depression susceptibility. This represents the first robustly replicated genetic findings for major depression after years of unsuccessful attempts.
Li Y, Wang X, Yao L · 2015
Chinese researchers analyzed genetic data from over 10,000 women and identified two specific gene locations that increase the risk of major depressive disorder. They found these genetic variants by focusing on women with severe, recurrent depression rather than studying mixed populations. This represents the first robust genetic findings for depression after years of unsuccessful attempts.
Zhang Y, Liu X, Zhang J, Li N · 2015
This 2015 genetic study analyzed DNA from over 10,000 Chinese women to identify genes linked to major depression. Researchers found two specific genetic locations on chromosome 10 that increase depression risk, including one near the SIRT1 gene. This represents the first robust genetic findings for depression after years of failed attempts.
Liu Y, Liu W-B, Liu K-J, Ao L, Cao J, Zhong JL, Liu J-Y · 2015
Chinese researchers analyzed genetic data from over 10,000 women and identified two specific gene locations that increase risk for major depressive disorder. This represents the first confirmed genetic markers for depression after years of unsuccessful attempts. The discovery could lead to better understanding of depression's biological causes.
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