Yusuke Muto
Impact in
- Hepatology top 10%
- Hepatitis C virus research
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 24
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 10
- Cutaneous Melanoma Detection and Management 8
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- Melanoma and MAPK Pathways 9
- Co-authors
- Takehisa Kaneko (1 shared paper)Ko Okumura (1 shared paper)Nobuhiko Kayagaki (1 shared paper)Kazumasa Hiroishi (1 shared paper)Michio Imawari (1 shared paper)Takashi Moriyama (1 shared paper)Kiyohiro Ando (1 shared paper)H Yagita (1 shared paper)
- Journals
- The Journal of Dermatology (14 papers)Dermatologic Therapy (4 papers)Melanoma Research (3 papers)Annals of Oncology (2 papers)British Journal of Dermatology (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yusuke Muto
40 papers receiving 523 citations
Peers
Comparison fields: 5 of 77
- Hepatology 83
- Immunology 158
- Oncology 170
- Dermatology 48
- Ophthalmology 36
Countries citing papers authored by Yusuke Muto
This map shows the geographic impact of Yusuke Muto'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 Yusuke Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Muto more than expected).
Fields of papers citing papers by Yusuke Muto
This network shows the impact of papers produced by Yusuke Muto. 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 Yusuke Muto. The network helps show where Yusuke Muto may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Muto, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 228 | |
| 2 | 2019 | 35 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 20 | |
| 5 | 2024 | 16 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2020 | 7 |
About Yusuke Muto
Yusuke Muto is a scholar working on Oncology, Molecular Biology, Immunology, Dermatology and Epidemiology, having authored 43 papers that have together received 530 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Immunotherapy and Immune Responses (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Melanoma and MAPK Pathways (9 papers), Cutaneous Melanoma Detection and Management (8 papers), Cutaneous lymphoproliferative disorders research (6 papers), Nonmelanoma Skin Cancer Studies (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (83 citations), Immunology (158 citations), Oncology (170 citations), Dermatology (48 citations) and Ophthalmology (36 citations). Yusuke Muto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takehisa Kaneko, Ko Okumura, Nobuhiko Kayagaki, Kazumasa Hiroishi, Michio Imawari, Takashi Moriyama, Kiyohiro Ando, H Yagita, Taku Fujimura and Naoya Yamazaki. Their work appears in journals such as The Journal of Dermatology, Dermatologic Therapy, Melanoma Research, Annals of Oncology and British Journal of Dermatology.
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.