David E. Williams

2.9k citations
65 papers · 2.3k indexed · h-index 29

Impact in

Papers in

David E. Williams

64 papers receiving 2.2k citations

Peers

David E. Williams
Comparison fields: 5 of 129
  • Health, Toxicology and Mutagenesis 831
  • Cancer Research 558
  • Pharmacology 302
  • Physiology 132
  • Pollution 276
Replace Cliff Pereira with:
Cliff Pereira United States
John H.N. Meerman Netherlands
Roger Rahmani France
Karl K. Rozman United States
Phillip W. Albro United States
J. Odum United Kingdom
Miriam N. Jacobs United Kingdom
S. Safe United States
Kazumi Sugihara Japan
Anver D. Rahimtula Canada
David E. Williams relative to Cliff Pereira United States Cliff Pereira's profile →
Citations per field
00.5×1.5×2.2×
Cliff Pereira · 1×
Citations per year

Countries citing papers authored by David E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by David E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Williams. 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 David E. Williams. The network helps show where David E. Williams may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David E. Williams, 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 David E. Williams Line = papers co-authored together David E. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20233
3 202128
4 201826
5 201529
6 201322
7 20127
8 201137
9 201135
10 200989
11 200867
12 200735
13 200662
14 200547
15 200522
16 200451
17 200425
18 199925
19 19979
20 199545

About David E. Williams

David E. Williams is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Physiology, Chemical Health and Safety and Pharmacology, having authored 65 papers that have together received 2.3k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (25 papers), Toxic Organic Pollutants Impact (17 papers), Effects and risks of endocrine disrupting chemicals (14 papers), Pharmacogenetics and Drug Metabolism (12 papers), Genomics, phytochemicals, and oxidative stress (9 papers), Reproductive biology and impacts on aquatic species (7 papers), Environmental Toxicology and Ecotoxicology (4 papers) and Pesticide and Herbicide Environmental Studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (831 citations), Cancer Research (558 citations), Pharmacology (302 citations), Physiology (132 citations) and Pollution (276 citations). David E. Williams has collaborated with scholars based in United States, Iceland and United Kingdom. Frequent co-authors include Donald R. Buhler, George Bailey, Lisbeth K. Siddens, Sharon K. Krueger, Roderick H. Dashwood, Susan C. Tilton, Cliff Pereira, Jerry D. Hendricks, Marilyn C. Henderson and John J. Lech. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicological Sciences, Food and Chemical Toxicology, Biochemical Pharmacology and Carcinogenesis.

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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