William S. Baldwin
- Health, Toxicology and Mutagenesis top 0.5%
- Environmental Toxicology and Ecotoxicology 17
- Effects and risks of endocrine disrupting chemicals 9
- Physiology top 1%
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts 8
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 23
- Nephrology top 2%
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- Estrogen and related hormone effects 13
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- Eicosanoids and Hypertension Pharmacology 7
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- Neurobiology and Insect Physiology Research 6
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- Hormonal and reproductive studies 6
- Co-authors
- Gerald A. LeBlancLinda C. MotaGautam K. GinjupalliDamian SheaStephen E. GrahamDavid R. NelsonPeter B. MarkoChris Baylis
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (4 papers)Diabetes (1 paper)
- Partner nations
- United StatesAustriaSingapore
In The Last Decade
William S. Baldwin
80 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 128
- Health, Toxicology and Mutagenesis 1.2k
- Physiology 217
- Pollution 545
- Pharmacology 408
- Nephrology 277
Countries citing papers authored by William S. Baldwin
This map shows the geographic impact of William S. Baldwin'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 William S. Baldwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Baldwin more than expected).
Fields of papers citing papers by William S. Baldwin
This network shows the impact of papers produced by William S. Baldwin. 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 William S. Baldwin. The network helps show where William S. Baldwin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William S. Baldwin, 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 | 2024 | 8 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 3 | |
| 9 | 2017 | 32 | |
| 10 | 2017 | 33 | |
| 11 | 2017 | 30 | |
| 12 | 2011 | 27 | |
| 13 | 2010 | 18 | |
| 14 | 2009 | 128 | |
| 15 | 2008 | 69 | |
| 16 | 2008 | 56 | |
| 17 | 2005 | 24 | |
| 18 | 2005 | 228 | |
| 19 | 1998 | 46 | |
| 20 | 1998 | 47 |
About William S. Baldwin
William S. Baldwin is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis and Environmental Chemistry, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Environmental Toxicology and Ecotoxicology (17 papers), Estrogen and related hormone effects (13 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Neurobiology and Insect Physiology Research (6 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Physiology (217 citations) and Pollution (545 citations). William S. Baldwin has collaborated with scholars based in United States, Austria and Singapore. Frequent co-authors include Gerald A. LeBlanc, Linda C. Mota, Gautam K. Ginjupalli, Damian Shea, Stephen E. Graham, David R. Nelson, Peter B. Marko, Chris Baylis, Steven McRae and David C. Wymer. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.
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.