Hiroshi Ichise
Impact in
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- CAR-T cell therapy research
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Cell Image Analysis Techniques 3
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- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 4
- Co-authors
- Hiroshi Kawamoto (4 shared papers)Takuya Maeda (4 shared papers)Seiji Nagano (4 shared papers)Kyoko Masuda (4 shared papers)Akifumi Takaori‐Kondo (4 shared papers)Norimitsu Kadowaki (3 shared papers)Daisuke Yamada (1 shared paper)Keisuke Kataoka (1 shared paper)
- Journals
- Cancer Research (2 papers)Molecular Therapy — Methods & Clinical Development (2 papers)Nature (2 papers)Stem Cell Reports (1 paper)eLife (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Hiroshi Ichise
18 papers receiving 456 citations
Peers
Comparison fields: 5 of 61
- Oncology 200
- Immunology 147
- Biophysics 36
- Molecular Biology 237
- Business and International Management 3
Countries citing papers authored by Hiroshi Ichise
This map shows the geographic impact of Hiroshi Ichise'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 Hiroshi Ichise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Ichise more than expected).
Fields of papers citing papers by Hiroshi Ichise
This network shows the impact of papers produced by Hiroshi Ichise. 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 Hiroshi Ichise. The network helps show where Hiroshi Ichise may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroshi Ichise, 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 | 2016 | 104 | |
| 2 | 2022 | 88 | |
| 3 | 2017 | 74 | |
| 4 | Functional visualization of NK Cell-mediated killing of metastatic single tumor cells | 2022 | 39 |
| 5 | 2019 | 27 | |
| 6 | 2016 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 17 | |
| 10 | 2021 | 12 | |
| 11 | 2026 | 12 | |
| 12 | 2025 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2026 | 1 | |
| 18 | 2026 | 1 | |
| 19 | 2025 | 0 |
About Hiroshi Ichise
Hiroshi Ichise is a scholar working on Biophysics, Immunology, Oncology, Molecular Biology and Cancer Research, having authored 19 papers that have together received 461 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immunotherapy and Immune Responses (4 papers), Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (4 papers), Cell Image Analysis Techniques (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Virus-based gene therapy research (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (200 citations), Immunology (147 citations), Biophysics (36 citations), Molecular Biology (237 citations) and Business and International Management (3 citations). Hiroshi Ichise has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Hiroshi Kawamoto, Takuya Maeda, Seiji Nagano, Kyoko Masuda, Akifumi Takaori‐Kondo, Norimitsu Kadowaki, Daisuke Yamada, Keisuke Kataoka, Seishi Ogawa and Haruhiko Koseki. Their work appears in journals such as Cancer Research, Molecular Therapy — Methods & Clinical Development, Nature, Stem Cell Reports and eLife.
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.