Jack J. Bevers
Impact in
- Immunology and Allergy top 10%
- Allergic Rhinitis and Sensitization
-
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
Papers in
- Immunology 10
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Toxin Mechanisms and Immunotoxins 3
- T-cell and B-cell Immunology 2
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Lawren C. Wu (2 shared papers)Gerald R. Nakamura (4 shared papers)Charles W. Eigenbrot (1 shared paper)RICHARD L. VANDLEN (1 shared paper)Robert F. Kelley (1 shared paper)Mark H. Ultsch (1 shared paper)David E. Levy (1 shared paper)Peter J. Murray (1 shared paper)
- Journals
- Scientific Reports (2 papers)Journal of Biological Chemistry (2 papers)The Journal of Immunology (1 paper)Nature (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jack J. Bevers
17 papers receiving 526 citations
Peers
Comparison fields: 5 of 71
- Immunology and Allergy 67
- Immunology 203
- Dermatology 84
- Radiology, Nuclear Medicine and Imaging 131
- Oncology 120
Countries citing papers authored by Jack J. Bevers
This map shows the geographic impact of Jack J. Bevers'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 Jack J. Bevers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack J. Bevers more than expected).
Fields of papers citing papers by Jack J. Bevers
This network shows the impact of papers produced by Jack J. Bevers. 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 Jack J. Bevers. The network helps show where Jack J. Bevers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack J. Bevers, 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 | 2013 | 151 | |
| 2 | 2006 | 77 | |
| 3 | 2013 | 68 | |
| 4 | 2014 | 57 | |
| 5 | 2022 | 40 | |
| 6 | 2018 | 32 | |
| 7 | 2019 | 28 | |
| 8 | 2025 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2015 | 24 | |
| 11 | 2023 | 16 | |
| 12 | 2018 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2017 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 3 |
About Jack J. Bevers
Jack J. Bevers is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Physiology and Molecular Biology, having authored 17 papers that have together received 596 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Asthma and respiratory diseases (3 papers), CAR-T cell therapy research (2 papers), Bacterial Genetics and Biotechnology (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology and Allergy (67 citations), Immunology (203 citations), Dermatology (84 citations), Radiology, Nuclear Medicine and Imaging (131 citations) and Oncology (120 citations). Jack J. Bevers has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lawren C. Wu, Gerald R. Nakamura, Charles W. Eigenbrot, RICHARD L. VANDLEN, Robert F. Kelley, Mark H. Ultsch, David E. Levy, Peter J. Murray, Donna B. Badgwell and Karni Schlessinger. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, The Journal of Immunology, Nature and Cell Reports Medicine.
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.