Gerald T. Perkoff
- Molecular Biology
- General Health Professions top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 10%
- Physiology top 10%
- Co-authors
- Frank H. TylerLawrence KahnMary AndersonE Vélez-GarcíaF. E. StephensM. M. WintrobeRobert SilberG. E. Cartwright
- Topics
- Primary Care and Health Outcomes (11 papers)Healthcare Policy and Management (9 papers)Metabolism and Genetic Disorders (4 papers)
- Journals
- New England Journal of MedicineJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesVietnam
In The Last Decade
Gerald T. Perkoff
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 393
- General Health Professions 318
- Endocrinology, Diabetes and Metabolism 233
- Public Health, Environmental and Occupational Health 198
- Physiology 197
Countries citing papers authored by Gerald T. Perkoff
This map shows the geographic impact of Gerald T. Perkoff'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 Gerald T. Perkoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald T. Perkoff more than expected).
Fields of papers citing papers by Gerald T. Perkoff
This network shows the impact of papers produced by Gerald T. Perkoff. 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 Gerald T. Perkoff. The network helps show where Gerald T. Perkoff may publish in the future.
Co-authorship network of co-authors of Gerald T. Perkoff
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald T. Perkoff. A scholar is included among the top collaborators of Gerald T. Perkoff 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 Gerald T. Perkoff. Gerald T. Perkoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 115 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 38 | |
| 8 | 8 | |
| 9 | 48 | |
| 10 | 4 | |
| 11 | 70 | |
| 12 | Cysteine-stimulated serum creatine phosphokinase: unexpected results. | 34 |
| 13 | 3 | |
| 14 | 150 | |
| 15 | 46 | |
| 16 | 100 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 90 | |
| 20 | Partially sex-linked cominant inheritance of interstitial pyelonephritis. | 23 |
About Gerald T. Perkoff
Gerald T. Perkoff is a scholar working on Nephrology, Clinical Biochemistry and General Health Professions, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (11 papers), Healthcare Policy and Management (9 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Behavioral Neuroscience (67 citations), Family Practice (40 citations) and Nephrology (127 citations). Gerald T. Perkoff has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Frank H. Tyler, Lawrence Kahn, Mary Anderson, E Vélez-García, F. E. Stephens, M. M. Wintrobe, Robert Silber, G. E. Cartwright, Patrick Hardy and Kristen B. Eik‐Nes. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.