Jonathan E. Cohen
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 9
- Oncology 12
- Cancer Immunotherapy and Biomarkers 9
- Co-authors
- R. Douglas Fields (11 shared papers)Philip R. Lee (8 shared papers)Shan Chen (1 shared paper)Wei Li (1 shared paper)Hadar Shalev (6 shared papers)Lawrence M. Wein (1 shared paper)Joseph Tsz Kei Wu (1 shared paper)Jonathan Guez (6 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Neurophysiology (2 papers)Annals of Oncology (2 papers)Nature Biotechnology (2 papers)Cell Calcium (2 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Jonathan E. Cohen
53 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 261
- Developmental Neuroscience 54
- Cellular and Molecular Neuroscience 225
- Modeling and Simulation 35
- Oncology 151
Countries citing papers authored by Jonathan E. Cohen
This map shows the geographic impact of Jonathan E. Cohen'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 E. Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Cohen more than expected).
Fields of papers citing papers by Jonathan E. Cohen
This network shows the impact of papers produced by Jonathan E. Cohen. 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 E. Cohen. The network helps show where Jonathan E. Cohen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 180 | |
| 2 | 2021 | 123 | |
| 3 | 2005 | 98 | |
| 4 | 2005 | 77 | |
| 5 | 2021 | 71 | |
| 6 | 2022 | 71 | |
| 7 | 2021 | 55 | |
| 8 | 2000 | 54 | |
| 9 | 2017 | 48 | |
| 10 | 2013 | 41 | |
| 11 | 2014 | 41 | |
| 12 | 2011 | 40 | |
| 13 | 2005 | 39 | |
| 14 | 2022 | 38 | |
| 15 | 2012 | 37 | |
| 16 | 2017 | 37 | |
| 17 | 2004 | 35 | |
| 18 | 2004 | 35 | |
| 19 | 2017 | 34 | |
| 20 | 2021 | 33 |
About Jonathan E. Cohen
Jonathan E. Cohen is a scholar working on Cellular and Molecular Neuroscience, Oncology, Immunology, Clinical Psychology and Molecular Biology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Neuroscience and Neuropharmacology Research (9 papers), Posttraumatic Stress Disorder Research (6 papers), Immunotherapy and Immune Responses (5 papers), Ion channel regulation and function (4 papers), Cancer Genomics and Diagnostics (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Cancer Research (261 citations), Developmental Neuroscience (54 citations), Cellular and Molecular Neuroscience (225 citations), Modeling and Simulation (35 citations) and Oncology (151 citations). Jonathan E. Cohen has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include R. Douglas Fields, Philip R. Lee, Shan Chen, Wei Li, Hadar Shalev, Lawrence M. Wein, Joseph Tsz Kei Wu, Jonathan Guez, Tamar Peretz and Tatiana V. Cohen. Their work appears in journals such as PLoS ONE, Journal of Neurophysiology, Annals of Oncology, Nature Biotechnology and Cell Calcium.
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.