Gordon M. Tomkins
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Biochemistry top 0.1%
- Cell Biology top 0.5%
- Co-authors
- John D. BaxterGuy RousseauE. Brad ThompsonNicholas M. KredichK. Lemone YieldingAvram HershkoHerbert H. SamuelsHenry R. Bourne
- Topics
- Enzyme function and inhibition (22 papers)Receptor Mechanisms and Signaling (21 papers)Estrogen and related hormone effects (19 papers)
- Partner nations
- United StatesPolandIsrael
In The Last Decade
Gordon M. Tomkins
159 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 8.3k
- Genetics 2.8k
- Endocrinology, Diabetes and Metabolism 2.4k
- Biochemistry 1.5k
- Cell Biology 1.3k
Countries citing papers authored by Gordon M. Tomkins
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
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 of co-authors of Gordon M. Tomkins
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon M. Tomkins. A scholar is included among the top collaborators of Gordon M. Tomkins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gordon M. Tomkins. Gordon M. Tomkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 168 | |
| 3 | 134 | |
| 4 | 189 | |
| 5 | Glucocorticoid receptors: Relations between steroid binding and biological effectsbreakdown → | 485 |
| 6 | 29 | |
| 7 | 120 | |
| 8 | 59 | |
| 9 | 77 | |
| 10 | 337 | |
| 11 | Control of Specific Gene Expression in Higher Organismsbreakdown → | 454 |
| 12 | 66 | |
| 13 | 39 | |
| 14 | 142 | |
| 15 | Induction of tyrosine alpha-ketoglutarate transaminase by steroid hormones in a newly established tissue culture cell line.breakdown → | 414 |
| 16 | 46 | |
| 17 | 56 | |
| 18 | 24 | |
| 19 | 11 | |
| 20 | 31 |
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) and Estrogen and related hormone effects (19 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.