David E. Williams
Impact in
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- Toxic Organic Pollutants Impact
- Environmental Toxicology and Ecotoxicology
- Physiology top 10%
- Reproductive biology and impacts on aquatic species
Papers in
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- Toxic Organic Pollutants Impact 2
- Environmental Toxicology and Ecotoxicology 2
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- Animal Virus Infections Studies 1
- Co-authors
- Gayle A. Orner (6 shared papers)Jerry D. Hendricks (5 shared papers)Kay A. Fischer (4 shared papers)Jack Kelly (3 shared papers)Clifford B. Pereira (3 shared papers)Cliff B. Pereira (2 shared papers)Christiane V. Löhr (3 shared papers)George Bailey (3 shared papers)
- Journals
- Carcinogenesis (4 papers)Toxicology and Applied Pharmacology (3 papers)Nutrition and Cancer (1 paper)Biochemical and Biophysical Research Communications (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United States
In The Last Decade
David E. Williams
13 papers receiving 350 citations
Peers
Comparison fields: 5 of 66
- Health, Toxicology and Mutagenesis 97
- Physiology 30
- Pharmacology 53
- Biochemistry 36
- Applied Microbiology and Biotechnology 9
Countries citing papers authored by David E. Williams
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 61 | |
| 2 | 2006 | 50 | |
| 3 | 2007 | 37 | |
| 4 | 2000 | 31 | |
| 5 | 2008 | 29 | |
| 6 | 1995 | 28 | |
| 7 | 1990 | 27 | |
| 8 | 2008 | 27 | |
| 9 | 1992 | 22 | |
| 10 | 1992 | 19 | |
| 11 | 1996 | 19 | |
| 12 | 1993 | 13 | |
| 13 | 1990 | 11 |
About David E. Williams
David E. Williams is a scholar working on Health, Toxicology and Mutagenesis, Animal Science and Zoology, Oncology, Pharmacology and Pathology and Forensic Medicine, having authored 13 papers that have together received 374 indexed citations. Recurring topics across this work include Cancer Risks and Factors (3 papers), Synthesis and Biological Evaluation (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Toxic Organic Pollutants Impact (2 papers), Tea Polyphenols and Effects (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Hormonal and reproductive studies (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (97 citations), Physiology (30 citations), Pharmacology (53 citations), Biochemistry (36 citations) and Applied Microbiology and Biotechnology (9 citations). David E. Williams has collaborated with scholars based in United States. Frequent co-authors include Gayle A. Orner, Jerry D. Hendricks, Kay A. Fischer, Jack Kelly, Clifford B. Pereira, Cliff B. Pereira, Christiane V. Löhr, George Bailey, Roderick H. Dashwood and Aram Oganesian. Their work appears in journals such as Carcinogenesis, Toxicology and Applied Pharmacology, Nutrition and Cancer, Biochemical and Biophysical Research Communications and Methods in enzymology on CD-ROM/Methods in enzymology.
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.