Gordon M. Tomkins

17.2k citations
162 papers · 13.8k indexed · 7 hit papers · h-index 72

Gordon M. Tomkins

159 papers receiving 12.0k citations

Hit Papers

Dexamethasone-mediated induction of mouse mammary tumor v...2511966202619862006100200300400

Peers

Gordon M. Tomkins
Comparison fields: 5 of 152
  • Biochemistry 1.5k
  • Endocrinology, Diabetes and Metabolism 2.4k
  • Molecular Biology 8.3k
  • Pharmacology 907
  • Genetics 2.8k
Replace Martin Rodbell with:
Martin Rodbell United States
Gerald Litwack United States
Robert Schimke United States
Philip Feigelson United States
John H. Exton United States
John M. Dietschy United States
E. Brad Thompson United States
Edwin G. Krebs United States
Joyce J. Repa United States
Olli A. Jänne Finland
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Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by Gordon M. Tomkins

Since Specialization
Citations

This map shows the geographic impact of Gordon M. Tomkins'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 Gordon M. Tomkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon M. Tomkins more than expected).

Fields of papers citing papers by Gordon M. Tomkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon M. Tomkins. 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 Gordon M. Tomkins. The network helps show where Gordon M. Tomkins may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gordon M. Tomkins, 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 Gordon M. Tomkins Line = papers co-authored together Gordon M. Tomkins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 197553
2 1975168
3 1974134
4 1973189
5
Glucocorticoid receptors: Relations between steroid binding and biological effectsbreakdown →
1972485
6 197229
7 1972120
8 197159
9 197077
10 1970337
11
Control of Specific Gene Expression in Higher Organismsbreakdown →
1969454
12 196966
13 196939
14 1968142
15
Induction of tyrosine alpha-ketoglutarate transaminase by steroid hormones in a newly established tissue culture cell line.breakdown →
1966414
16 196546
17 196356
18 196324
19 196211
20 195331

About Gordon M. Tomkins

Gordon M. Tomkins is a scholar working on Biochemistry, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 162 papers that have together received 13.8k indexed citations. Recurring topics across this work include Enzyme function and inhibition (22 papers), Receptor Mechanisms and Signaling (21 papers), Estrogen and related hormone effects (19 papers), Hormonal Regulation and Hypertension (18 papers), Amino Acid Enzymes and Metabolism (16 papers), Steroid Chemistry and Biochemistry (13 papers), Biochemical and Molecular Research (12 papers) and Pharmacogenetics and Drug Metabolism (12 papers). The work is most often cited by research in Biochemistry (1.5k citations), Endocrinology, Diabetes and Metabolism (2.4k citations) and Molecular Biology (8.3k citations). Gordon M. Tomkins has collaborated with scholars based in United States, Poland and Israel. Frequent co-authors include John D. Baxter, Guy Rousseau, E. Brad Thompson, Nicholas M. Kredich, K. Lemone Yielding, Avram Hershko, Herbert H. Samuels, Henry R. Bourne, Philip Coffino and Daryl K. Granner. Their work appears in journals such as Nature, Science and Cell.

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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