Daisuke Sugiyama
- Immunology top 2%
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 8
- Immune cells in cancer 4
- T-cell and Retrovirus Studies 1
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 13
- CAR-T cell therapy research 4
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments 2
- Infectious Diseases top 10%
- Gastroenterology top 10%
- Co-authors
- Hiroyoshi NishikawaShimon SakaguchiYuka MaedaIchiro KatayamaMegumi NishiokaAtsushi TanemuraEiichi SatoYasuo Fukumori
- Cited by
- ImmunologyOncologyHematology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Daisuke Sugiyama
31 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 1.1k
- Oncology 826
- Hematology 121
- Infectious Diseases 178
- Gastroenterology 44
Countries citing papers authored by Daisuke Sugiyama
This map shows the geographic impact of Daisuke Sugiyama'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 Daisuke Sugiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Sugiyama more than expected).
Fields of papers citing papers by Daisuke Sugiyama
This network shows the impact of papers produced by Daisuke Sugiyama. 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 Daisuke Sugiyama. The network helps show where Daisuke Sugiyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke Sugiyama, 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 | 2025 | 10 | |
| 2 | 2025 | 8 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 34 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 7 | |
| 13 | 2019 | 69 | |
| 14 | 2019 | 87 | |
| 15 | 2018 | 30 | |
| 16 | 2018 | 153 | |
| 17 | 2016 | 262 | |
| 18 | Impact of Flushing Response on the Relationship between Alcohol Consumption and Gamma-glutamyl Transpeptidase: the KOBE study. | 2016 | 3 |
| 19 | 2015 | 119 | |
| 20 | 2012 | 65 |
About Daisuke Sugiyama
Daisuke Sugiyama is a scholar working on Immunology, Oncology and Hematology, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Cancer Immunotherapy and Biomarkers (13 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (8 papers), CAR-T cell therapy research (4 papers), Immune cells in cancer (4 papers), Chronic Myeloid Leukemia Treatments (2 papers) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Immunology (1.1k citations), Oncology (826 citations) and Hematology (121 citations). Daisuke Sugiyama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hiroyoshi Nishikawa, Shimon Sakaguchi, Yuka Maeda, Ichiro Katayama, Megumi Nishioka, Atsushi Tanemura, Eiichi Sato, Yasuo Fukumori, Yuzuru Kanakura and Sachiko Ezoe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.