James R. Gavin
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Physiology top 2%
- Cell Biology top 2%
- Co-authors
- Jesse RothDavid M. NevillePierre De MeytsMaxine A. LesniakDonald N. BuellPhillip GördenJuanita A. ArcherMarc R. Hammerman
- Topics
- Pancreatic function and diabetes (13 papers)Metabolism, Diabetes, and Cancer (10 papers)Ion Transport and Channel Regulation (8 papers)
- Partner nations
- United StatesDenmarkJapan
In The Last Decade
James R. Gavin
47 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.0k
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 1.1k
- Physiology 1.0k
- Cell Biology 498
Countries citing papers authored by James R. Gavin
This map shows the geographic impact of James R. Gavin'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 James R. Gavin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Gavin more than expected).
Fields of papers citing papers by James R. Gavin
This network shows the impact of papers produced by James R. Gavin. 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 James R. Gavin. The network helps show where James R. Gavin may publish in the future.
Co-authorship network of co-authors of James R. Gavin
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Gavin. A scholar is included among the top collaborators of James R. Gavin 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 James R. Gavin. James R. Gavin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 35 | |
| 3 | 32 | |
| 4 | 9 | |
| 5 | 115 | |
| 6 | 5 | |
| 7 | Different genes for obesity are associated with insulin loss of regulation of the membrane (Ca2+ + Mg2+)-ATPase in the obesity syndrome. Lessons from animal models. | 5 |
| 8 | 37 | |
| 9 | 16 | |
| 10 | 16 | |
| 11 | 13 | |
| 12 | 17 | |
| 13 | 24 | |
| 14 | 24 | |
| 15 | 18 | |
| 16 | 27 | |
| 17 | 30 | |
| 18 | 90 | |
| 19 | 191 | |
| 20 | 115 |
About James R. Gavin
James R. Gavin is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Metabolism, Diabetes, and Cancer (10 papers) and Ion Transport and Channel Regulation (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Physiology (1.0k citations) and Cell Biology (498 citations). James R. Gavin has collaborated with scholars based in United States, Denmark and Japan. Frequent co-authors include Jesse Roth, David M. Neville, Pierre De Meyts, Maxine A. Lesniak, Donald N. Buell, Phillip Görden, Juanita A. Archer, Marc R. Hammerman, Joseph Levy and James M. Hagberg. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.