Jun Ishihara
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 17
- Immunotherapy and Immune Responses 13
- Oncology 15
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Jeffrey A. Hubbell (20 shared papers)Ako Ishihara (15 shared papers)Kazuto Fukunaga (7 shared papers)Melody A. Swartz (12 shared papers)Aslan Mansurov (12 shared papers)Peyman Hosseinchi (9 shared papers)Koichi Sasaki (7 shared papers)Lambert Potin (5 shared papers)
- Journals
- Nature Biomedical Engineering (6 papers)Science Advances (5 papers)Small (3 papers)Blood (2 papers)Science Translational Medicine (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Jun Ishihara
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Immunology 549
- Oncology 517
- Rehabilitation 116
- Immunology and Allergy 86
- Biomaterials 199
Countries citing papers authored by Jun Ishihara
This map shows the geographic impact of Jun Ishihara'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 Jun Ishihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ishihara more than expected).
Fields of papers citing papers by Jun Ishihara
This network shows the impact of papers produced by Jun Ishihara. 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 Jun Ishihara. The network helps show where Jun Ishihara may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ishihara, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 191 | |
| 2 | 2020 | 184 | |
| 3 | 2019 | 152 | |
| 4 | 2017 | 138 | |
| 5 | 2019 | 104 | |
| 6 | 2019 | 93 | |
| 7 | 2019 | 70 | |
| 8 | 2022 | 69 | |
| 9 | 2011 | 56 | |
| 10 | 2019 | 49 | |
| 11 | 2021 | 47 | |
| 12 | 2018 | 37 | |
| 13 | 2020 | 31 | |
| 14 | 1989 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2014 | 25 | |
| 17 | 2021 | 22 | |
| 18 | 2014 | 22 | |
| 19 | 2023 | 20 | |
| 20 | 2022 | 19 |
About Jun Ishihara
Jun Ishihara is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), CAR-T cell therapy research (12 papers), Cancer Immunotherapy and Biomarkers (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cell Adhesion Molecules Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Wound Healing and Treatments (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Immunology (549 citations), Oncology (517 citations), Rehabilitation (116 citations), Immunology and Allergy (86 citations) and Biomaterials (199 citations). Jun Ishihara has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jeffrey A. Hubbell, Ako Ishihara, Kazuto Fukunaga, Melody A. Swartz, Aslan Mansurov, Peyman Hosseinchi, Koichi Sasaki, Lambert Potin, John‐Michael Williford and Michael White. Their work appears in journals such as Nature Biomedical Engineering, Science Advances, Small, Blood and Science Translational 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.