Stephen W. Edwards

8.2k total citations
82 papers, 4.1k citations indexed

About

Stephen W. Edwards is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics. According to data from OpenAlex, Stephen W. Edwards has authored 82 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 29 papers in Health, Toxicology and Mutagenesis and 20 papers in Computational Theory and Mathematics. Recurrent topics in Stephen W. Edwards's work include Computational Drug Discovery Methods (20 papers), Effects and risks of endocrine disrupting chemicals (17 papers) and Bioinformatics and Genomic Networks (15 papers). Stephen W. Edwards is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Effects and risks of endocrine disrupting chemicals (17 papers) and Bioinformatics and Genomic Networks (15 papers). Stephen W. Edwards collaborates with scholars based in United States, Italy and United Kingdom. Stephen W. Edwards's co-authors include Eric E. Schadt, Gerald T. Ankley, Daniel Shoemaker, Jason M. Johnson, Daniel L. Villeneuve, Alan B. Sachs, Yu‐Mei Tan, Natàlia García‐Reyero, Shannon Bell and Mark S. Boguski and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Stephen W. Edwards

80 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen W. Edwards United States 31 1.9k 958 721 576 391 82 4.1k
Daniel M. Rotroff United States 26 910 0.5× 1.3k 1.4× 359 0.5× 768 1.3× 401 1.0× 90 3.4k
George P. Daston United States 36 1.2k 0.7× 1.9k 2.0× 345 0.5× 339 0.6× 580 1.5× 121 4.4k
Stephen Ferguson United States 38 1.6k 0.9× 1.1k 1.2× 388 0.5× 528 0.9× 572 1.5× 108 5.1k
Menghang Xia United States 45 3.2k 1.7× 1.5k 1.6× 590 0.8× 1.9k 3.3× 747 1.9× 231 7.6k
Nisha S. Sipes United States 30 1.2k 0.6× 1.7k 1.8× 232 0.3× 780 1.4× 393 1.0× 48 3.8k
David M. Reif United States 46 2.0k 1.1× 2.8k 2.9× 624 0.9× 1.3k 2.3× 612 1.6× 146 6.9k
Lyle D. Burgoon United States 32 926 0.5× 1.1k 1.1× 267 0.4× 271 0.5× 612 1.6× 84 2.8k
Daniel M. Sheehan United States 39 1.2k 0.6× 2.6k 2.7× 1.8k 2.5× 964 1.7× 439 1.1× 131 6.7k
Ruth Roberts United Kingdom 45 3.0k 1.6× 526 0.5× 376 0.5× 549 1.0× 826 2.1× 148 6.4k
Edward J. Perkins United States 35 1.4k 0.7× 1.7k 1.8× 336 0.5× 375 0.7× 187 0.5× 179 4.2k

Countries citing papers authored by Stephen W. Edwards

Since Specialization
Citations

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

Fields of papers citing papers by Stephen W. Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen W. Edwards. 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 Stephen W. Edwards. The network helps show where Stephen W. Edwards may publish in the future.

Co-authorship network of co-authors of Stephen W. Edwards

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Edwards. A scholar is included among the top collaborators of Stephen W. Edwards 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 Stephen W. Edwards. Stephen W. Edwards 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.
Nymark, Penny, Laure‐Alix Clerbaux, Maria João Amorim, et al.. (2024). Building an Adverse Outcome Pathway network for COVID-19. SHILAP Revista de lepidopterología. 4. 1384481–1384481. 3 indexed citations
2.
Wittwehr, Clemens, Laure‐Alix Clerbaux, Stephen W. Edwards, et al.. (2023). Why adverse outcome pathways need to be FAIR. ALTEX. 41(1). 50–56. 8 indexed citations
3.
Edwards, Stephen W., et al.. (2019). Identification of differentially expressed genes and networks related to hepatic lipid dysfunction. Toxicology and Applied Pharmacology. 382. 114757–114757. 2 indexed citations
4.
Edwards, Stephen W., et al.. (2019). Progress in data interoperability to support computational toxicology and chemical safety evaluation. Toxicology and Applied Pharmacology. 380. 114707–114707. 27 indexed citations
5.
Ankley, Gerald T. & Stephen W. Edwards. (2018). The adverse outcome pathway: A multifaceted framework supporting 21st century toxicology. Current Opinion in Toxicology. 9. 1–7. 86 indexed citations
6.
Tan, Yu‐Mei, Jeremy A. Leonard, Stephen W. Edwards, Justin Teeguarden, & Peter Egeghy. (2018). Refining the aggregate exposure pathway. Environmental Science Processes & Impacts. 20(3). 428–436. 16 indexed citations
7.
Tan, Yu‐Mei, Jeremy A. Leonard, Stephen W. Edwards, et al.. (2018). Aggregate exposure pathways in support of risk assessment. Current Opinion in Toxicology. 9. 8–13. 21 indexed citations
8.
Edwards, Stephen W., et al.. (2018). AOP-DB: A database resource for the exploration of Adverse Outcome Pathways through integrated association networks. Toxicology and Applied Pharmacology. 343. 71–83. 54 indexed citations
9.
Campia, Ivana, et al.. (2017). Creating a Structured Adverse Outcome Pathway Knowledgebase via Ontology-Based Annotations. PubMed. 3(4). 298–311. 48 indexed citations
10.
Oki, Noffisat O. & Stephen W. Edwards. (2016). An integrative data mining approach to identifying adverse outcome pathway signatures. Toxicology. 350-352. 49–61. 45 indexed citations
11.
Hill, Thomas, Mark Nelms, Stephen W. Edwards, et al.. (2016). Editor’s Highlight: Negative Predictors of Carcinogenicity for Environmental Chemicals. Toxicological Sciences. 155(1). 157–169. 12 indexed citations
12.
Duncan, Melanie, et al.. (2014). Integrating science into humanitarian and development planning and practice to enhance community resilience. Malaria Journal. 17(1). 424–424. 4 indexed citations
13.
Williams-DeVane, ClarLynda, David M. Reif, Pierre R. Bushel, et al.. (2013). Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes. BMC Systems Biology. 7(1). 119–119. 27 indexed citations
14.
Cote, Ila, Paul T. Anastas, Linda S. Birnbaum, et al.. (2012). Advancing the Next Generation of Health Risk Assessment. Environmental Health Perspectives. 120(11). 1499–1502. 25 indexed citations
15.
Gallagher, Jane, Edward Hudgens, Ann H. Williams, et al.. (2011). Mechanistic Indicators of Childhood Asthma (MICA) Study: piloting an integrative design for evaluating environmental health. BMC Public Health. 11(1). 344–344. 7 indexed citations
16.
Heidenfelder, Brooke L, David M. Reif, Jack R. Harkema, et al.. (2009). Comparative Microarray Analysis and Pulmonary Changes in Brown Norway Rats Exposed to Ovalbumin and Concentrated Air Particulates. Toxicological Sciences. 108(1). 207–221. 13 indexed citations
17.
Tu, Zhidong, Carmen Argmann, Kenny K. Wong, et al.. (2009). Integrating siRNA and protein–protein interaction data to identify an expanded insulin signaling network. Genome Research. 19(6). 1057–1067. 41 indexed citations
18.
Su, Wan‐Lin, Barmak Modrek, Debraj GuhaThakurta, et al.. (2008). Exon and junction microarrays detect widespread mouse strain- and sex-bias expression differences. BMC Genomics. 9(1). 273–273. 18 indexed citations
19.
Mehrabian, Margarete, Hooman Allayee, Pek Yee Lum, et al.. (2005). Integrating genotypic and expression data in a segregating mouse population to identify 5-lipoxygenase as a susceptibility gene for obesity and bone traits. Nature Genetics. 37(11). 1224–1233. 168 indexed citations
20.
Edwards, Stephen W.. (2000). Flaked Stone Basalt Technology in the Northern Sierra Nevada of California. eScholarship (California Digital Library). 22(2). 5 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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