Jonathan S. Duke‐Cohan
- Immunology top 2%
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 14
- Immunotherapy and Immune Responses 6
- Oncology top 2%
- CAR-T cell therapy research 8
- Peptidase Inhibition and Analysis 7
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- Axon Guidance and Neuronal Signaling 6
- Neuropeptides and Animal Physiology 6
- Cell Biology top 5%
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- Monoclonal and Polyclonal Antibodies Research 13
- Co-authors
- Stuart F. SchlossmanGordon J. FreemanTeresa M. GunnGregory S. BarshEllis L. ReinherzArlene H. SharpeJoshua RockerLin He
- Journals
- Nature (2 papers)Science (2 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Jonathan S. Duke‐Cohan
64 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 116
- Immunology 1.1k
- Oncology 1.0k
- Cellular and Molecular Neuroscience 556
- Endocrine and Autonomic Systems 181
- Cell Biology 412
Countries citing papers authored by Jonathan S. Duke‐Cohan
This map shows the geographic impact of Jonathan S. Duke‐Cohan'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 Jonathan S. Duke‐Cohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan S. Duke‐Cohan more than expected).
Fields of papers citing papers by Jonathan S. Duke‐Cohan
This network shows the impact of papers produced by Jonathan S. Duke‐Cohan. 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 Jonathan S. Duke‐Cohan. The network helps show where Jonathan S. Duke‐Cohan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan S. Duke‐Cohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2022 | 13 | |
| 3 | 2021 | 23 | |
| 4 | 2021 | 24 | |
| 5 | 2020 | 119 | |
| 6 | 2019 | 115 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 12 | |
| 9 | 2015 | 52 | |
| 10 | 2013 | 62 | |
| 11 | 2012 | 26 | |
| 12 | 2010 | 28 | |
| 13 | 2009 | 78 | |
| 14 | 2009 | 18 | |
| 15 | 2007 | 24 | |
| 16 | 2006 | 31 | |
| 17 | 2000 | 353 | |
| 18 | 2000 | 59 | |
| 19 | 1993 | 26 | |
| 20 | 1993 | 5 |
About Jonathan S. Duke‐Cohan
Jonathan S. Duke‐Cohan is a scholar working on Immunology, Virology and Cellular and Molecular Neuroscience, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), CAR-T cell therapy research (8 papers), Peptidase Inhibition and Analysis (7 papers), Immunotherapy and Immune Responses (6 papers), Axon Guidance and Neuronal Signaling (6 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (1.0k citations) and Cellular and Molecular Neuroscience (556 citations). Jonathan S. Duke‐Cohan has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Stuart F. Schlossman, Gordon J. Freeman, Teresa M. Gunn, Gregory S. Barsh, Ellis L. Reinherz, Arlene H. Sharpe, Joshua Rocker, Lin He, Vassiliki A. Boussiotis and Daniel F. McLaughlin. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.