John Kimura
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 9
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 4
- Co-authors
- James P. Allison (5 shared papers)Wendy L. Havran (3 shared papers)Leon Wofsy (6 shared papers)Roger Y. Tsien (2 shared papers)Martin Poenie (2 shared papers)A Weiss (1 shared paper)Benjamin Kaminer (1 shared paper)Paolo Truffa‐Bachi (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Immunology (2 papers)Experimental Cell Research (1 paper)Cellular Immunology (1 paper)Nature (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
John Kimura
14 papers receiving 583 citations
Peers
Comparison fields: 5 of 73
- Immunology 445
- Radiology, Nuclear Medicine and Imaging 160
- Immunology and Allergy 28
- Oncology 82
- Molecular Biology 209
Countries citing papers authored by John Kimura
This map shows the geographic impact of John Kimura'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 John Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kimura more than expected).
Fields of papers citing papers by John Kimura
This network shows the impact of papers produced by John Kimura. 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 John Kimura. The network helps show where John Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside John Kimura, 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 | 1987 | 227 | |
| 2 | 1989 | 133 | |
| 3 | 1971 | 50 | |
| 4 | 1972 | 42 | |
| 5 | 1987 | 41 | |
| 6 | 1972 | 35 | |
| 7 | 1967 | 30 | |
| 8 | 1988 | 27 | |
| 9 | 1974 | 24 | |
| 10 | Expression and function of cd3 on murine thymocytes | 1988 | 10 |
| 11 | 1990 | 9 | |
| 12 | 1987 | 6 | |
| 13 | 1980 | 6 | |
| 14 | 1986 | 3 |
About John Kimura
John Kimura is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Oncology and Epidemiology, having authored 14 papers that have together received 643 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), bioluminescence and chemiluminescence research (2 papers), Protein purification and stability (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Immunology (445 citations), Radiology, Nuclear Medicine and Imaging (160 citations), Immunology and Allergy (28 citations), Oncology (82 citations) and Molecular Biology (209 citations). John Kimura has collaborated with scholars based in United States and France. Frequent co-authors include James P. Allison, Wendy L. Havran, Leon Wofsy, Roger Y. Tsien, Martin Poenie, A Weiss, Benjamin Kaminer, Paolo Truffa‐Bachi, Gail Duwe and Claudia Henry. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Experimental Cell Research, Cellular Immunology and Nature.
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.