Ako Ishihara
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
-
- Immunotherapy and Immune Responses 6
- Oncology 5
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 2
- Co-authors
- Jun Ishihara (14 shared papers)Jeffrey A. Hubbell (14 shared papers)Kazuto Fukunaga (6 shared papers)Aslan Mansurov (9 shared papers)Melody A. Swartz (7 shared papers)Peyman Hosseinchi (7 shared papers)Koichi Sasaki (4 shared papers)Lambert Potin (4 shared papers)
- Journals
- Nature Biomedical Engineering (3 papers)Science Advances (3 papers)Science Translational Medicine (2 papers)npj Regenerative Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Ako Ishihara
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Immunology 412
- Rehabilitation 111
- Oncology 385
- Biomaterials 181
- Immunology and Allergy 62
Countries citing papers authored by Ako Ishihara
This map shows the geographic impact of Ako 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 Ako Ishihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ako Ishihara more than expected).
Fields of papers citing papers by Ako Ishihara
This network shows the impact of papers produced by Ako 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 Ako Ishihara. The network helps show where Ako Ishihara may publish in the future.
Co-authors
The 25 scholars most cited alongside Ako 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 186 | |
| 2 | 2020 | 178 | |
| 3 | 2019 | 147 | |
| 4 | 2017 | 135 | |
| 5 | 2019 | 99 | |
| 6 | 2019 | 88 | |
| 7 | 2019 | 69 | |
| 8 | 2019 | 46 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 26 | |
| 11 | 2019 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 0 |
About Ako Ishihara
Ako Ishihara is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Rheumatology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cell Adhesion Molecules Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Wound Healing and Treatments (2 papers), Protease and Inhibitor Mechanisms (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (412 citations), Rehabilitation (111 citations), Oncology (385 citations), Biomaterials (181 citations) and Immunology and Allergy (62 citations). Ako Ishihara has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jun Ishihara, Jeffrey A. Hubbell, Kazuto Fukunaga, Aslan Mansurov, Melody A. Swartz, Peyman Hosseinchi, Koichi Sasaki, Lambert Potin, John‐Michael Williford and Michael White. Their work appears in journals such as Nature Biomedical Engineering, Science Advances, Science Translational Medicine, npj Regenerative Medicine and Nature Communications.
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.