Tom Rushmore
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Inflammatory mediators and NSAID effects
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Pharmacology 10
- Pharmacogenetics and Drug Metabolism 8
- Inflammatory mediators and NSAID effects 2
- Co-authors
- M. Anthony Hayes (1 shared paper)Mark T. Goldberg (1 shared paper)Jeffrey P. Jones (2 shared papers)Danny Ghazarian (1 shared paper)Amit Ghoshal (1 shared paper)E Farber (1 shared paper)V. Subrahmanyan (1 shared paper)Yulin Fang (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (2 papers)Clinical Pharmacology & Therapeutics (2 papers)Drug Metabolism and Disposition (1 paper)Nature Biotechnology (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Tom Rushmore
14 papers receiving 498 citations
Peers
Comparison fields: 5 of 75
- Pharmacology 195
- Biochemistry 47
- Oncology 128
- Clinical Biochemistry 21
- Biochemistry 18
Countries citing papers authored by Tom Rushmore
This map shows the geographic impact of Tom Rushmore'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 Tom Rushmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Rushmore more than expected).
Fields of papers citing papers by Tom Rushmore
This network shows the impact of papers produced by Tom Rushmore. 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 Tom Rushmore. The network helps show where Tom Rushmore may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Rushmore, 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 | 1987 | 107 | |
| 2 | 1999 | 63 | |
| 3 | Probable free radical effects on rat liver nuclei during early hepatocarcinogenesis with a choline-devoid low methionine diet. | 1987 | 62 |
| 4 | 2001 | 54 | |
| 5 | 2006 | 49 | |
| 6 | 2008 | 43 | |
| 7 | 1993 | 28 | |
| 8 | 1996 | 24 | |
| 9 | 2011 | 18 | |
| 10 | 1990 | 17 | |
| 11 | 2008 | 16 | |
| 12 | 2000 | 16 | |
| 13 | 2006 | 15 | |
| 14 | 2008 | 7 |
About Tom Rushmore
Tom Rushmore is a scholar working on Pharmacology, Molecular Biology, Oncology, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 519 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Inflammatory mediators and NSAID effects (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Folate and B Vitamins Research (1 paper), Cyclopropane Reaction Mechanisms (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Pharmacology (195 citations), Biochemistry (47 citations), Oncology (128 citations), Clinical Biochemistry (21 citations) and Biochemistry (18 citations). Tom Rushmore has collaborated with scholars based in United States, Canada and France. Frequent co-authors include M. Anthony Hayes, Mark T. Goldberg, Jeffrey P. Jones, Danny Ghazarian, Amit Ghoshal, E Farber, V. Subrahmanyan, Yulin Fang, Man-Wai Lo and Stephen P. Spielberg. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Clinical Pharmacology & Therapeutics, Drug Metabolism and Disposition, Nature Biotechnology and Biochemical Pharmacology.
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.