Paul E. Dunlap
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Chromium effects and bioremediation
Papers in
-
- Genomics, phytochemicals, and oxidative stress 2
- Metabolomics and Mass Spectrometry Studies 2
- Fungal and yeast genetics research 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Jonathan H. Freedman (2 shared papers)Pierre R. Bushel (2 shared papers)Yong Hwan Jin (1 shared paper)Sandra J. McBride (1 shared paper)Scott Alper (1 shared paper)David A. Schwartz (1 shared paper)Rebecca L. Laws (1 shared paper)Windy A. Boyd (1 shared paper)
- Journals
- Toxicological Sciences (3 papers)Proceedings of the National Academy of Sciences (1 paper)International Journal of Molecular Sciences (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
Paul E. Dunlap
6 papers receiving 300 citations
Peers
Comparison fields: 5 of 80
- Aging 23
- Health, Toxicology and Mutagenesis 71
- Nutrition and Dietetics 36
- Molecular Biology 144
- Pollution 24
Countries citing papers authored by Paul E. Dunlap
This map shows the geographic impact of Paul E. Dunlap'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 Paul E. Dunlap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Dunlap more than expected).
Fields of papers citing papers by Paul E. Dunlap
This network shows the impact of papers produced by Paul E. Dunlap. 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 Paul E. Dunlap. The network helps show where Paul E. Dunlap may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul E. Dunlap, 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 | 2008 | 140 | |
| 2 | 2008 | 68 | |
| 3 | 2019 | 55 | |
| 4 | 2021 | 21 | |
| 5 | 2019 | 18 | |
| 6 | 2023 | 3 |
About Paul E. Dunlap
Paul E. Dunlap is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Nephrology and Pathology and Forensic Medicine, having authored 6 papers that have together received 305 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Circadian rhythm and melatonin (1 paper), Chemotherapy-induced organ toxicity mitigation (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Aging (23 citations), Health, Toxicology and Mutagenesis (71 citations), Nutrition and Dietetics (36 citations), Molecular Biology (144 citations) and Pollution (24 citations). Paul E. Dunlap has collaborated with scholars based in United States. Frequent co-authors include Jonathan H. Freedman, Pierre R. Bushel, Yong Hwan Jin, Sandra J. McBride, Scott Alper, David A. Schwartz, Rebecca L. Laws, Windy A. Boyd, Brad Lackford and Sreenivasa Ramaiahgari. Their work appears in journals such as Toxicological Sciences, Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and PLoS Genetics.
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.