George M. Gray

2.1k total citations · 1 hit paper
59 papers, 1.5k citations indexed

About

George M. Gray is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Sociology and Political Science. According to data from OpenAlex, George M. Gray has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Health, Toxicology and Mutagenesis, 13 papers in Cancer Research and 9 papers in Sociology and Political Science. Recurrent topics in George M. Gray's work include Carcinogens and Genotoxicity Assessment (13 papers), Effects and risks of endocrine disrupting chemicals (12 papers) and Air Quality and Health Impacts (6 papers). George M. Gray is often cited by papers focused on Carcinogens and Genotoxicity Assessment (13 papers), Effects and risks of endocrine disrupting chemicals (12 papers) and Air Quality and Health Impacts (6 papers). George M. Gray collaborates with scholars based in United States, Canada and United Kingdom. George M. Gray's co-authors include Francis S. Collins, John R. Bucher, David Ropeik, John D. Graham, John S. Evans, James K. Hammitt, Robert L. Sielken, Joshua T. Cohen, Richard E. Wilson and Peter LaPuma and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

George M. Gray

59 papers receiving 1.4k citations

Hit Papers

Transforming Environmental Health Protection 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George M. Gray United States 20 568 228 211 182 175 59 1.5k
Theo Vermeire Netherlands 22 880 1.5× 87 0.4× 117 0.6× 116 0.6× 116 0.7× 53 1.8k
Christina Rudén Sweden 25 1000 1.8× 90 0.4× 149 0.7× 179 1.0× 170 1.0× 94 2.2k
Bette Meek Canada 12 480 0.8× 174 0.8× 181 0.9× 27 0.1× 98 0.6× 18 1.2k
Lauren Zeise United States 29 1.8k 3.2× 317 1.4× 692 3.3× 293 1.6× 186 1.1× 75 3.3k
R.J. Fielder United Kingdom 13 499 0.9× 135 0.6× 300 1.4× 38 0.2× 244 1.4× 29 1.1k
Lorenz R. Rhomberg United States 28 1.5k 2.7× 447 2.0× 734 3.5× 121 0.7× 212 1.2× 88 3.5k
Vincent James Cogliano United States 18 1.2k 2.2× 407 1.8× 594 2.8× 73 0.4× 76 0.4× 36 2.8k
Thomas A. Burke United States 24 1.5k 2.6× 382 1.7× 240 1.1× 428 2.4× 51 0.3× 86 3.0k
Nancy Baker United States 19 615 1.1× 570 2.5× 118 0.6× 43 0.2× 198 1.1× 50 1.8k
Peter Egeghy United States 32 2.0k 3.4× 212 0.9× 487 2.3× 111 0.6× 221 1.3× 68 2.9k

Countries citing papers authored by George M. Gray

Since Specialization
Citations

This map shows the geographic impact of George M. Gray'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 George M. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George M. Gray more than expected).

Fields of papers citing papers by George M. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Gray. 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 George M. Gray. The network helps show where George M. Gray may publish in the future.

Co-authorship network of co-authors of George M. Gray

This figure shows the co-authorship network connecting the top 25 collaborators of George M. Gray. A scholar is included among the top collaborators of George M. Gray 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 George M. Gray. George M. Gray 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.
Young, Heather A., Sunni L. Mumford, John D. Meeker, et al.. (2019). Pesticide interactions and risks of sperm chromosomal abnormalities. International Journal of Hygiene and Environmental Health. 222(7). 1021–1029. 17 indexed citations
2.
Blomquist, Glenn C., Timothy J. Brennan, Joseph J. Cordes, et al.. (2017). Consumer’s Guide to Regulatory Impact Analysis: Ten Tips for Being an Informed Policymaker. Journal of Benefit-Cost Analysis. 8(2). 187–204. 10 indexed citations
3.
Beck, Nancy B., Richard A. Becker, William H. Farland, et al.. (2016). Approaches for describing and communicating overall uncertainty in toxicity characterizations: U.S. Environmental Protection Agency's Integrated Risk Information System (IRIS) as a case study. Environment International. 89-90. 110–128. 30 indexed citations
4.
Applebaum, Katie M., Jay P. Graham, George M. Gray, et al.. (2016). An Overview of Occupational Risks From Climate Change. Current Environmental Health Reports. 3(1). 13–22. 50 indexed citations
5.
Young, Heather A., John D. Meeker, Sheena E. Martenies, et al.. (2015). Dialkyl phosphate urinary metabolites and chromosomal abnormalities in human sperm. Environmental Research. 143(Pt A). 256–265. 21 indexed citations
6.
7.
Butala, John H., Janet M. Carter, Alison Elder, et al.. (2014). Workshop report: Strategies for setting occupational exposure limits for engineered nanomaterials. Regulatory Toxicology and Pharmacology. 68(3). 305–311. 32 indexed citations
8.
Mazer‐Amirshahi, Maryann, Samira Samiee‐Zafarghandy, George M. Gray, & Johannes N. van den Anker. (2014). Trends in pregnancy labeling and data quality for US-approved pharmaceuticals. American Journal of Obstetrics and Gynecology. 211(6). 690.e1–690.e11. 47 indexed citations
9.
Gray, George M., et al.. (2013). The work environment disability-adjusted life year for use with life cycle assessment: a methodological approach. Environmental Health. 12(1). 21–21. 16 indexed citations
10.
Gray, George M. & Joshua T. Cohen. (2012). Rethink chemical risk assessments. Nature. 489(7414). 27–28. 19 indexed citations
12.
König, Ariane, Colleen Bouzan, Connor We, et al.. (2005). Fish consumption and coronary heart disease: A review of data on the dose-response relationship. American Journal of Preventive Medicine. 29(4). 1 indexed citations
13.
Gray, George M., et al.. (2002). The Effect of Different Tumor Groupings on Findings of Anticarcinogenic Responses in Long-Term Rodent Bioassays. Regulatory Toxicology and Pharmacology. 36(2). 139–148. 4 indexed citations
14.
Gray, George M., Ping Li, Ilya Shlyakhter, & Richard E. Wilson. (1995). An Empirical Examination of Factors Influencing Prediction of Carcinogenic Hazard across Species. Regulatory Toxicology and Pharmacology. 22(3). 283–291. 25 indexed citations
15.
Evans, John S., John D. Graham, George M. Gray, & Robert L. Sielken. (1994). A Distributional Approach to Characterizing Low‐Dose Cancer Risk. Risk Analysis. 14(1). 25–34. 44 indexed citations
16.
Evans, John S., George M. Gray, Robert L. Sielken, et al.. (1994). Use of Probabilistic Expert Judgment in Uncertainty Analysis of Carcinogenic Potency. Regulatory Toxicology and Pharmacology. 20(1). 15–36. 72 indexed citations
17.
Laden, Francine & George M. Gray. (1993). Toxics Use Reduction: Pro and Con. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 4(3). 4. 5 indexed citations
18.
Gray, George M., Joshua T. Cohen, & John D. Graham. (1993). The challenge of risk characterization: current practice and future directions.. Environmental Health Perspectives. 101(suppl 6). 203–208. 2 indexed citations
19.
Evans, John S., et al.. (1992). Summary of Workshop to Review an OMB Report on Regulatory Risk Assessment and Management. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester). 3(1). 7. 2 indexed citations
20.
Gray, George M., Chungwen Wei, & Ian G. Macara. (1989). Specific desensitization of the epidermal growth factor receptor by pp60v‐src. Journal of Cellular Biochemistry. 40(3). 271–278. 1 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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