Jonathan Chen
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Genetics 13
- Chronic Lymphocytic Leukemia Research 9
- Glioma Diagnosis and Treatment 4
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 4
- Co-authors
- Yonglian Sun (3 shared papers)Yang‐Xin Fu (3 shared papers)Claudia X. Dominguez (2 shared papers)Susan M. Kaech (2 shared papers)Lieping Chen (2 shared papers)Rima Koka (2 shared papers)Sumit K. Subudhi (2 shared papers)Ian A. Parish (1 shared paper)
- Journals
- Blood (5 papers)The Journal of Immunology (3 papers)Nature Medicine (3 papers)Clinical Cancer Research (1 paper)Neuro-Oncology Advances (1 paper)
- Partner nations
- United StatesGermanySaudi Arabia
In The Last Decade
Jonathan Chen
24 papers receiving 727 citations
Peers
Comparison fields: 5 of 89
- Immunology 329
- Genetics 53
- Oncology 128
- Radiology, Nuclear Medicine and Imaging 83
- Nephrology 25
Countries citing papers authored by Jonathan Chen
This map shows the geographic impact of Jonathan Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Chen more than expected).
Fields of papers citing papers by Jonathan Chen
This network shows the impact of papers produced by Jonathan Chen. 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 Chen. The network helps show where Jonathan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Chen, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 149 | |
| 2 | 2015 | 132 | |
| 3 | 1991 | 119 | |
| 4 | 2011 | 70 | |
| 5 | 2000 | 57 | |
| 6 | 2000 | 53 | |
| 7 | 2020 | 34 | |
| 8 | 2002 | 29 | |
| 9 | 2005 | 28 | |
| 10 | 2021 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Jonathan Chen
Jonathan Chen is a scholar working on Genetics, Immunology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 747 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (4 papers), Glioma Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Immunology (329 citations), Genetics (53 citations), Oncology (128 citations), Radiology, Nuclear Medicine and Imaging (83 citations) and Nephrology (25 citations). Jonathan Chen has collaborated with scholars based in United States, Germany and Saudi Arabia. Frequent co-authors include Yonglian Sun, Yang‐Xin Fu, Claudia X. Dominguez, Susan M. Kaech, Lieping Chen, Rima Koka, Sumit K. Subudhi, Ian A. Parish, Gretchen L. Snyder and Angus C. Nairn. Their work appears in journals such as Blood, The Journal of Immunology, Nature Medicine, Clinical Cancer Research and Neuro-Oncology Advances.
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.