Jeffrey D. Hermes
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Genetics top 10%
- Co-authors
- W. W. ClelandVincent L. PecoraroMarion H. O’LearyPaul M. WeissAlice I. MarcyStephen C. BlacklowJeremy R. KnowlesWilliam K. Hagmann
- Topics
- Peptidase Inhibition and Analysis (6 papers)Amino Acid Enzymes and Metabolism (5 papers)Immune Cell Function and Interaction (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Jeffrey D. Hermes
51 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.7k
- Oncology 527
- Cancer Research 404
- Immunology 351
- Genetics 270
Countries citing papers authored by Jeffrey D. Hermes
This map shows the geographic impact of Jeffrey D. Hermes'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 Jeffrey D. Hermes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey D. Hermes more than expected).
Fields of papers citing papers by Jeffrey D. Hermes
This network shows the impact of papers produced by Jeffrey D. Hermes. 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 Jeffrey D. Hermes. The network helps show where Jeffrey D. Hermes may publish in the future.
Co-authorship network of co-authors of Jeffrey D. Hermes
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Hermes. A scholar is included among the top collaborators of Jeffrey D. Hermes 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 Jeffrey D. Hermes. Jeffrey D. Hermes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 27 | |
| 5 | 18 | |
| 6 | 6 | |
| 7 | 44 | |
| 8 | 34 | |
| 9 | 96 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 88 | |
| 14 | 66 | |
| 15 | 190 | |
| 16 | 82 | |
| 17 | 92 | |
| 18 | 57 | |
| 19 | 18 | |
| 20 | 57 |
About Jeffrey D. Hermes
Jeffrey D. Hermes is a scholar working on Biochemistry, Virology and Clinical Biochemistry, having authored 51 papers that have together received 2.7k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Biochemistry (223 citations), Cancer Research (404 citations) and Molecular Biology (1.7k citations). Jeffrey D. Hermes has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include W. W. Cleland, W. W. Cleland, Vincent L. Pecoraro, Marion H. O’Leary, Paul M. Weiss, Alice I. Marcy, Stephen C. Blacklow, Jeremy R. Knowles, William K. Hagmann and Richard Cummings. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.