Michael J. DeVito

6.5k total citations
106 papers, 4.4k citations indexed

About

Michael J. DeVito is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Pharmacology. According to data from OpenAlex, Michael J. DeVito has authored 106 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Health, Toxicology and Mutagenesis, 49 papers in Cancer Research and 16 papers in Pharmacology. Recurrent topics in Michael J. DeVito's work include Effects and risks of endocrine disrupting chemicals (59 papers), Toxic Organic Pollutants Impact (58 papers) and Carcinogens and Genotoxicity Assessment (48 papers). Michael J. DeVito is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (59 papers), Toxic Organic Pollutants Impact (58 papers) and Carcinogens and Genotoxicity Assessment (48 papers). Michael J. DeVito collaborates with scholars based in United States, Canada and Germany. Michael J. DeVito's co-authors include Linda S. Birnbaum, Kevin M. Crofton, Joan M. Hedge, Katie B. Paul, Michael F. Hughes, Edward J. Scollon, David Gaddis Ross, Janet J. Diliberto, Stephen Godin and James M. Starr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Michael J. DeVito

101 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. DeVito United States 38 3.0k 1.1k 600 549 499 106 4.4k
L.A.P. Hoogenboom Netherlands 42 2.6k 0.9× 735 0.7× 736 1.2× 517 0.9× 824 1.7× 199 5.4k
Jeffrey W. Fisher United States 40 2.4k 0.8× 981 0.9× 367 0.6× 443 0.8× 337 0.7× 162 4.5k
Jean‐Pierre Cravedi France 45 3.3k 1.1× 891 0.8× 1.3k 2.1× 750 1.4× 494 1.0× 167 7.4k
Daniel Zalko France 38 3.3k 1.1× 894 0.8× 867 1.4× 253 0.5× 458 0.9× 95 4.7k
Sean W. Kennedy Canada 41 4.6k 1.5× 1.2k 1.2× 973 1.6× 399 0.7× 616 1.2× 140 6.1k
J.H. Koeman Netherlands 35 3.0k 1.0× 764 0.7× 643 1.1× 445 0.8× 241 0.5× 137 5.3k
Rory B. Conolly United States 38 2.1k 0.7× 1.5k 1.4× 386 0.6× 472 0.9× 259 0.5× 135 4.8k
Hiroyuki Kojima Japan 33 2.0k 0.7× 475 0.5× 572 1.0× 334 0.6× 212 0.4× 105 3.9k
J. Thomas Sanderson Canada 39 2.3k 0.8× 501 0.5× 797 1.3× 357 0.7× 153 0.3× 109 4.9k
Angelika Tritscher United States 28 4.2k 1.4× 1.4k 1.4× 1.0k 1.7× 382 0.7× 368 0.7× 49 5.8k

Countries citing papers authored by Michael J. DeVito

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. DeVito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. DeVito. 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 Michael J. DeVito. The network helps show where Michael J. DeVito may publish in the future.

Co-authorship network of co-authors of Michael J. DeVito

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. DeVito. A scholar is included among the top collaborators of Michael J. DeVito 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 Michael J. DeVito. Michael J. DeVito 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.
Wambaugh, John F., Katie Paul Friedman, Marc A. Beal, et al.. (2025). Applying New Approach Methods for Toxicokinetics for Chemical Risk Assessment. Chemical Research in Toxicology. 38(8). 1408–1441.
2.
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Parham, Fred, Kristin M. Eccles, Cynthia V. Rider, et al.. (2025). Lessons learned from evaluating defined chemical mixtures in a high-throughput estrogen receptor assay system. Toxicological Sciences. 205(1). 191–204.
4.
Mutlu, Esra, Leah C. Wehmas, Michael J. DeVito, et al.. (2025). Transcriptomic dose response assessment of PFAS chemicals 3:3 fluorotelomer carboxylic acid, 7:3 fluorotelomer alcohol, and perfluorohexanesulfonamide. Toxicology. 517. 154223–154223. 1 indexed citations
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Judson, Richard, Doris Smith, Michael J. DeVito, et al.. (2024). A Comparison of In Vitro Points of Departure with Human Blood Levels for Per- and Polyfluoroalkyl Substances (PFAS). Toxics. 12(4). 271–271. 3 indexed citations
7.
DeVito, Michael J., Bas Bokkers, Majorie B.M. van Duursen, et al.. (2023). The 2022 world health organization reevaluation of human and mammalian toxic equivalency factors for polychlorinated dioxins, dibenzofurans and biphenyls. Regulatory Toxicology and Pharmacology. 146. 105525–105525. 36 indexed citations
8.
Ring, Caroline, Alexander D. Blanchette, William D. Klaren, et al.. (2023). A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. Regulatory Toxicology and Pharmacology. 143. 105464–105464. 3 indexed citations
9.
Wikoff, Daniele, Caroline Ring, Michael J. DeVito, et al.. (2023). Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment. Regulatory Toxicology and Pharmacology. 145. 105500–105500. 6 indexed citations
10.
Rider, Cynthia V., Linda S. Birnbaum, Michael J. DeVito, et al.. (2022). In Memoriam: Jane Ellen Simmons. Environmental Health Perspectives. 130(10).
11.
Hubbard, Troy D., Jui‐Hua Hsieh, Cynthia V. Rider, et al.. (2019). Using Tox21 High-Throughput Screening Assays for the Evaluation of Botanical and Dietary Supplements. PubMed. 5(1). 10–25. 11 indexed citations
12.
Romanok, Kristin M., Dana W. Kolpin, Maria Argos, et al.. (2018). Methods used for the collection and analysis of chemical and biological data for the Tapwater Exposure Study, United States, 2016–17. Antarctica A Keystone in a Changing World. 8 indexed citations
13.
Dunnick, June K., Arun R. Pandiri, B. Alex Merrick, et al.. (2018). Carcinogenic activity of pentabrominated diphenyl ether mixture (DE-71) in rats and mice. Toxicology Reports. 5. 615–624. 36 indexed citations
14.
Herbert, Ron, Kyathanahalli S. Janardhan, Milton R. Hejtmancik, et al.. (2016). Dose-response assessment of the dermal toxicity of Virginia cedarwood oil in F344/N rats and B6C3F1/N mice. Food and Chemical Toxicology. 98(Pt B). 159–168. 3 indexed citations
15.
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Richardson, Vicki M., et al.. (2013). In vitrometabolism of thyroxine by rat and human hepatocytes. Xenobiotica. 44(5). 391–403. 27 indexed citations
17.
Berg, Martin van den, Michael S. Denison, Linda S. Birnbaum, et al.. (2013). Polybrominated Dibenzo-p-Dioxins, Dibenzofurans, and Biphenyls: Inclusion in the Toxicity Equivalency Factor Concept for Dioxin-Like Compounds. Toxicological Sciences. 133(2). 197–208. 186 indexed citations
18.
Rider, Cynthia V., Danielle J. Carlin, Michael J. DeVito, Claudia Thompson, & Nigel J. Walker. (2012). Mixtures research at NIEHS: An evolving program. Toxicology. 313(2-3). 94–102. 26 indexed citations
19.
Santostefano, Michael J., Xiaofeng Wang, Vicki M. Richardson, et al.. (1998). A Pharmacodynamic Analysis of TCDD-Induced Cytochrome P450 Gene Expression in Multiple Tissues: Dose- and Time-Dependent Effects. Toxicology and Applied Pharmacology. 151(2). 294–310. 32 indexed citations
20.
DeVito, Michael J. & Linda S. Birnbaum. (1995). Dioxins: model chemicals for assessing receptor-mediated toxicity. Toxicology. 102(1-2). 115–123. 45 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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