David E. Williams

3.0k citations
67 papers · 2.5k · h-index 29

Impact in

Papers in

David E. Williams

66 papers receiving 2.4k citations

Peers

David E. Williams
Comparison fields: 5 of 127
  • Health, Toxicology and Mutagenesis 890
  • Cancer Research 580
  • Pharmacology 327
  • Physiology 135
  • Pollution 303
Replace John H.N. Meerman with:
John H.N. Meerman Netherlands
Cliff Pereira United States
Roger Rahmani France
J. Odum United Kingdom
Karl K. Rozman United States
Phillip W. Albro United States
S. Safe United States
Miriam N. Jacobs United Kingdom
Anver D. Rahimtula Canada
Kazumi Sugihara Japan
David E. Williams relative to John H.N. Meerman Netherlands John H.N. Meerman's profile →
Citations per field
00.5×1.5×2.0×
John H.N. Meerman · 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-authors

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

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994180
2 2012143
3 1988131
4 200997
5 201195
6 201695
7 199886
8 201783
9 200873
10 198873
11 200563
12 200663
13 201462
14 200457
15 200556
16 198653
17 199551
18 200144
19 201144
20 201143

About David E. Williams

David E. Williams is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology, Pharmacology and Pollution, having authored 67 papers that have together received 2.5k 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), Aquaculture disease management and microbiota (4 papers) and Mycotoxins in Agriculture and Food (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (890 citations), Cancer Research (580 citations), Pharmacology (327 citations), Physiology (135 citations) and Pollution (303 citations). David E. Williams has collaborated with scholars based in United States, Iceland and Canada. 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, Biochemical Pharmacology, Food and Chemical Toxicology and Drug Metabolism and Disposition.

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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