Warren Casey

81 papers receiving 3.1k citations

Warren Casey's Hit Papers

A framework for establishing scientific confidence in new approach methodologies 2022 · 159 citations
1590+1+2Years since publication50100150

Peers

Warren Casey
Comparison fields: 5 of 155
  • Small Animals 660
  • Chemical Health and Safety 52
  • Health, Toxicology and Mutagenesis 860
  • Computational Theory and Mathematics 658
  • Dermatology 199
Replace David Allen with:
David Allen United States
Robert D. Combes United Kingdom
Johannes J.M. van de Sandt Netherlands
Lutz Müller Germany
Bas J. Blaauboer Netherlands
Edward W. Carney United States
Andrew White United Kingdom
Cecilia Bossa Italy
Marilyn J. Aardema United States
Ronald D. Snyder United States
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Warren Casey

Since Specialization
Citations

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

Fields of papers citing papers by Warren Casey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warren Casey. 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 Warren Casey. The network helps show where Warren Casey may publish in the future.

Co-authors

The 25 scholars most cited alongside Warren Casey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Warren Casey Line = papers co-authored together Warren Casey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995293
2 2015232
3 2016172
4
A framework for establishing scientific confidence in new approach methodologies
Hit paper breakdown →
2022159
5 2020146
6 2016141
7 2019131
8 2001120
9 2017114
10 201693
11 201592
12 201880
13 200564
14 201659
15 201756
16 199252
17 201652
18 199651
19 201750
20 198950

About Warren Casey

Warren Casey is a scholar working on Small Animals, Molecular Biology, Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Food Science, having authored 83 papers that have together received 3.2k indexed citations. Recurring topics across this work include Animal testing and alternatives (29 papers), Effects and risks of endocrine disrupting chemicals (22 papers), Computational Drug Discovery Methods (11 papers), Contact Dermatitis and Allergies (7 papers), Plant biochemistry and biosynthesis (6 papers), Pesticide Exposure and Toxicity (6 papers), Adipose Tissue and Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Small Animals (660 citations), Chemical Health and Safety (52 citations), Health, Toxicology and Mutagenesis (860 citations), Computational Theory and Mathematics (658 citations) and Dermatology (199 citations). Warren Casey has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Leo W. Parks, Nicole Kleinstreuer, David Allen, Patience Browne, Richard Judson, Russell S. Thomas, Judy Strickland, Kamel Mansouri, David J. Dix and Patricia Ceger. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Toxicological Sciences, Environmental Health Perspectives, Archives of Toxicology and Biologicals.

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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