Jonathan Chabon
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- Epigenetics and DNA Methylation 3
- DNA Repair Mechanisms 2
-
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Tyler R. Prestwood (2 shared papers)Nathan E. Reticker-Flynn (2 shared papers)Edgar G. Engleman (2 shared papers)Matthew H. Spitzer (2 shared papers)Yaron Carmi (2 shared papers)Pier Federico Gherardini (1 shared paper)Sean C. Bendall (1 shared paper)Garry P. Nolan (1 shared paper)
- Journals
- Blood (2 papers)iScience (1 paper)Blood Advances (1 paper)Cell (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Jonathan Chabon
7 papers receiving 809 citations
Jonathan Chabon's Hit Papers
Peers
Comparison fields: 5 of 67
- Immunology 466
- Oncology 505
- Cancer Research 72
- Molecular Biology 259
- Hematology 36
Countries citing papers authored by Jonathan Chabon
This map shows the geographic impact of Jonathan Chabon'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 Chabon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Chabon more than expected).
Fields of papers citing papers by Jonathan Chabon
This network shows the impact of papers produced by Jonathan Chabon. 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 Chabon. The network helps show where Jonathan Chabon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Chabon, 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 | Systemic Immunity Is Required for Effective Cancer Immunotherapy Hit paper breakdown → | 2017 | 687 |
| 2 | 2017 | 88 | |
| 3 | 2016 | 20 | |
| 4 | 2018 | 13 | |
| 5 | 2020 | 9 | |
| 6 | 2023 | 1 | |
| 7 | 2016 | 1 |
About Jonathan Chabon
Jonathan Chabon is a scholar working on Molecular Biology, Immunology, Oncology, Public Health, Environmental and Occupational Health and Hematology, having authored 7 papers that have together received 819 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers), DNA Repair Mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Musculoskeletal pain and rehabilitation (1 paper), Cancer-related Molecular Pathways (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Immunology (466 citations), Oncology (505 citations), Cancer Research (72 citations), Molecular Biology (259 citations) and Hematology (36 citations). Jonathan Chabon has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Tyler R. Prestwood, Nathan E. Reticker-Flynn, Edgar G. Engleman, Matthew H. Spitzer, Yaron Carmi, Pier Federico Gherardini, Sean C. Bendall, Garry P. Nolan, Serena S. Kwek and Maria M. Martins. Their work appears in journals such as Blood, iScience, Blood Advances, Cell and JCI Insight.
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.