Tom Rushmore

584 citations
14 papers · 485 · h-index 13

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Inflammatory mediators and NSAID effects
  • Biochemistry top 10%
    • Eicosanoids and Hypertension Pharmacology

Papers in

Tom Rushmore

14 papers receiving 469 citations

Peers

Tom Rushmore
Comparison fields: 5 of 74
  • Pharmacology 182
  • Biochemistry 44
  • Oncology 118
  • Clinical Biochemistry 21
  • Biochemistry 17
Replace Morio Fukuhara with:
Morio Fukuhara Japan
Adrian Davies United Kingdom
Claudine Amar France
David J. Porubek United States
Anna-Karin Sohlenius-Sternbeck Sweden
Donald E. Nerland United States
Yasuaki Dewa Japan
Brian R. Rabin United Kingdom
Thomas K. Shires United States
N. D'Acosta Argentina
Tom Rushmore relative to Morio Fukuhara Japan Morio Fukuhara's profile →
Citations per field
00.5×
Morio Fukuhara · 1×
Citations per year

Countries citing papers authored by Tom Rushmore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tom Rushmore Line = papers co-authored together Tom Rushmore links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 198798
2 199959
3
Probable free radical effects on rat liver nuclei during early hepatocarcinogenesis with a choline-devoid low methionine diet.
198757
4 200152
5 200648
6 200840
7 199328
8 199623
9 201116
10 199016
11 200814
12 200614
13 200014
14 20086

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 485 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 (182 citations), Biochemistry (44 citations), Oncology (118 citations), Clinical Biochemistry (21 citations) and Biochemistry (17 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 Scott A. Waldman. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Clinical Pharmacology & Therapeutics, Biochemical Pharmacology, Carcinogenesis and Journal of Medicinal 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.

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