Jan Beyea

2.2k total citations
58 papers, 1.4k citations indexed

About

Jan Beyea is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change and Sociology and Political Science. According to data from OpenAlex, Jan Beyea has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health, Toxicology and Mutagenesis, 14 papers in Global and Planetary Change and 8 papers in Sociology and Political Science. Recurrent topics in Jan Beyea's work include Air Quality and Health Impacts (12 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Radiation Dose and Imaging (7 papers). Jan Beyea is often cited by papers focused on Air Quality and Health Impacts (12 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Radiation Dose and Imaging (7 papers). Jan Beyea collaborates with scholars based in United States, Czechia and Austria. Jan Beyea's co-authors include Maureen Hatch, Marilie D. Gammon, Wayne Hoffman, Susan L. Teitelbaum, Regina M. Santella, Steven D. Stellman, Jeri W. Nieves, Mervyn Susser, Alfred I. Neugut and Irina Mordukhovich and has published in prestigious journals such as Science, Environmental Science & Technology and Energy & Environmental Science.

In The Last Decade

Jan Beyea

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Beyea United States 23 514 254 157 150 138 58 1.4k
T. Kauppinen Finland 27 880 1.7× 71 0.3× 468 3.0× 37 0.2× 96 0.7× 45 2.1k
Mike Fay United States 15 606 1.2× 52 0.2× 109 0.7× 23 0.2× 51 0.4× 30 1.4k
Yuichi Iwasaki Japan 21 529 1.0× 181 0.7× 43 0.3× 148 1.0× 145 1.1× 84 1.5k
David Gee United Kingdom 18 139 0.3× 134 0.5× 33 0.2× 16 0.1× 31 0.2× 94 1.4k
Jia Zhong United States 20 808 1.6× 98 0.4× 79 0.5× 47 0.3× 19 0.1× 35 1.4k
Minxia Liu China 22 268 0.5× 75 0.3× 224 1.4× 101 0.7× 37 0.3× 114 1.4k
TJ Goehl United States 2 514 1.0× 75 0.3× 87 0.6× 21 0.1× 18 0.1× 3 1.2k
Wei Huang China 26 177 0.3× 434 1.7× 13 0.1× 40 0.3× 25 0.2× 120 2.0k
Pierluigi Cocco Italy 24 469 0.9× 66 0.3× 360 2.3× 6 0.0× 103 0.7× 67 1.5k

Countries citing papers authored by Jan Beyea

Since Specialization
Citations

This map shows the geographic impact of Jan Beyea's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Beyea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Beyea more than expected).

Fields of papers citing papers by Jan Beyea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Beyea. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Beyea. The network helps show where Jan Beyea may publish in the future.

Co-authorship network of co-authors of Jan Beyea

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Beyea. A scholar is included among the top collaborators of Jan Beyea based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Beyea. Jan Beyea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Beyea, Jan & George Hoffmann. (2023). False Indications of Dose-Response Nonlinearity in Large Epidemiologic Cancer Radiation Cohort Studies; A Simulation Exercise. Radiation Research. 199(4). 354–372. 1 indexed citations
3.
Callahan, Catherine L., Matthew R. Bonner, Jing Nie, et al.. (2017). Lifetime exposure to ambient air pollution and methylation of tumor suppressor genes in breast tumors. Environmental Research. 161. 418–424. 34 indexed citations
4.
5.
Niehoff, Nicole M., Alexandra J. White, Lauren E. McCullough, et al.. (2016). Polycyclic aromatic hydrocarbons and postmenopausal breast cancer: An evaluation of effect measure modification by body mass index and weight change. Environmental Research. 152. 17–25. 23 indexed citations
6.
White, Alexandra J., Patrick T. Bradshaw, Amy H. Herring, et al.. (2016). Exposure to multiple sources of polycyclic aromatic hydrocarbons and breast cancer incidence. Environment International. 89-90. 185–192. 129 indexed citations
7.
White, Alexandra J., Chen Jia, Susan L. Teitelbaum, et al.. (2015). Sources of polycyclic aromatic hydrocarbons are associated with gene-specific promoter methylation in women with breast cancer. Environmental Research. 145. 93–100. 48 indexed citations
8.
Mordukhovich, Irina, Jan Beyea, Amy H. Herring, et al.. (2015). Vehicular Traffic–Related Polycyclic Aromatic Hydrocarbon Exposure and Breast Cancer Incidence: The Long Island Breast Cancer Study Project (LIBCSP). Environmental Health Perspectives. 124(1). 30–38. 79 indexed citations
9.
White, Alexandra J., Susan L. Teitelbaum, Steven D. Stellman, et al.. (2014). Indoor air pollution exposure from use of indoor stoves and fireplaces in association with breast cancer: a case-control study. Environmental Health. 13(1). 108–108. 42 indexed citations
10.
Li, Yanli, Jing Nie, Jan Beyea, et al.. (2012). Exposure to traffic emissions: Associations with biomarkers of antioxidant status and oxidative damage. Environmental Research. 121. 31–38. 12 indexed citations
11.
Beyea, Jan, Maureen Hatch, Steven D. Stellman, et al.. (2006). Validation and Calibration of a Model Used to Reconstruct Historical Exposureto Polycyclic Aromatic Hydrocarbons for Use in Epidemiologic Studies. Environmental Health Perspectives. 114(7). 1053–1058. 22 indexed citations
12.
Nie, Jing, Jan Beyea, Matthew R. Bonner, et al.. (2005). Environmental exposure to traffic polycyclic aromatic hydrocarbons (PAHs) and risk of breast cancer. Cancer Research. 65. 513–513. 1 indexed citations
13.
Gammon, Marilie D., Sharon K. Sagiv, Sybil M. Eng, et al.. (2004). Polycyclic Aromatic Hydrocarbon–DNA Adducts and Breast Cancer: A Pooled Analysis. Archives of Environmental Health An International Journal. 59(12). 640–649. 84 indexed citations
14.
Fredericksen, Todd S., Wayne Hoffman, Eric Β. Ross, et al.. (2000). The Impact of Logging on Wildlife: A Study in Northeastern Pennsylvania. Journal of Forestry. 98(4). 4–10. 13 indexed citations
15.
Fredericksen, Todd S., Eric Β. Ross, Wayne Hoffman, et al.. (2000). Relative Abundance and Species Richness of Herpetofauna in Forest Stands in Pennsylvania. Forest Science. 46(1). 139–146. 35 indexed citations
16.
Beyea, Jan & Sander Greenland. (1999). The Importance of Specifying the Underlying Biological Model in Estimating The Probability of Causation. Health Physics. 76(3). 269–274. 35 indexed citations
17.
Hatch, Maureen, Sylvan Wallenstein, Jan Beyea, Jeri W. Nieves, & Mervyn Susser. (1991). Cancer rates after the Three Mile Island nuclear accident and proximity of residence to the plant.. American Journal of Public Health. 81(6). 719–724. 62 indexed citations
18.
Beyea, Jan & Kathleen H. Keeler. (1991). Biotechnological Advances in Biomass Energy and Chemical Production: Impacts on Wildlife and Habitat. Critical Reviews in Biotechnology. 10(4). 305–319. 4 indexed citations
19.
Hatch, Maureen, Jan Beyea, Jeri W. Nieves, & Mervyn Susser. (1990). CANCER NEAR THE THREE MILE ISLAND NUCLEAR PLANT: RADIATION EMISSIONS. American Journal of Epidemiology. 132(3). 397–412. 64 indexed citations
20.
Dutt, Gautam S., et al.. (1978). The two-resistance model for attic heat flow: implications for conservation policy. Energy. 3(5). 657–667. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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