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
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- Eicosanoids and Hypertension Pharmacology 2
- Co-authors
- Mark T. GoldbergM. Anthony HayesJeffrey P. JonesAmit GhoshalDanny GhazarianV. SubrahmanyanE FarberYulin Fang
- Journals
- Bioorganic & Medicinal Chemistry (2 papers)Clinical Pharmacology & Therapeutics (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Tetrahedron Letters (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Tom Rushmore
14 papers receiving 468 citations
Peers
Comparison fields: 5 of 76
- Pharmacology 191
- Biochemistry 45
- Oncology 126
- Clinical Biochemistry 22
- Biochemistry 17
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-authorship network
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 | 2011 | 16 | |
| 2 | 2008 | 6 | |
| 3 | 2008 | 14 | |
| 4 | 2008 | 40 | |
| 5 | 2006 | 14 | |
| 6 | 2006 | 48 | |
| 7 | 2001 | 52 | |
| 8 | 2000 | 14 | |
| 9 | 1999 | 59 | |
| 10 | 1996 | 23 | |
| 11 | 1993 | 28 | |
| 12 | 1990 | 16 | |
| 13 | Probable free radical effects on rat liver nuclei during early hepatocarcinogenesis with a choline-devoid low methionine diet. | 1987 | 57 |
| 14 | 1987 | 98 |
About Tom Rushmore
Tom Rushmore is a scholar working on Pharmacology, Biochemistry, Biochemistry, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 14 papers that have together received 485 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Drug Transport and Resistance Mechanisms (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Inflammatory mediators and NSAID effects (2 papers), Chemotherapy-induced organ toxicity mitigation (1 paper), Garlic and Onion Studies (1 paper), Carcinogens and Genotoxicity Assessment (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Pharmacology (191 citations), Biochemistry (45 citations), Oncology (126 citations), Clinical Biochemistry (22 citations) and Biochemistry (17 citations). Tom Rushmore has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Mark T. Goldberg, M. Anthony Hayes, Jeffrey P. Jones, Amit Ghoshal, Danny Ghazarian, V. Subrahmanyan, E Farber, Yulin Fang, Scott A. Waldman and Man-Wai Lo. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Clinical Pharmacology & Therapeutics, Journal of Pharmacology and Experimental Therapeutics, Tetrahedron Letters and Journal of Biological Chemistry.
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.