Yusuke Muto

791 citations
43 papers · 521 · h-index 12

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • CAR-T cell therapy research 12
    • Cancer Immunotherapy and Biomarkers 10
    • Cutaneous Melanoma Detection and Management 8
    • Melanoma and MAPK Pathways 9

Yusuke Muto

40 papers receiving 515 citations

Peers

Yusuke Muto
Comparison fields: 5 of 76
  • Hepatology 79
  • Immunology 155
  • Oncology 168
  • Dermatology 48
  • Ophthalmology 35
Replace Nikola Baschuk with:
Nikola Baschuk Australia
Lorenzo Pacenti Italy
Young-Chul Sung South Korea
Maurizio Podda Germany
Jing Zhu China
Federica Moschella Italy
Qing-Xia Fan China
Craig S. McCune United States
Daniela Tramonti United Kingdom
Zhunyi Xie China
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Citations per field
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Citations per year

Countries citing papers authored by Yusuke Muto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yusuke Muto Line = papers co-authored together Yusuke Muto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997222
2 201934
3 202024
4 202220
5 202416
6 202013
7 202213
8 201913
9 202013
10 202012
11 201911
12 201711
13 202210
14 201810
15 20229
16 20208
17 20218
18 20248
19 20208
20 20207

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 521 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 (79 citations), Immunology (155 citations), Oncology (168 citations), Dermatology (48 citations) and Ophthalmology (35 citations). Yusuke Muto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Nobuhiko Kayagaki, Ko Okumura, H Yagita, Michio Imawari, Kiyohiro Ando, Kazumasa Hiroishi, Takehisa Kaneko, Takashi Moriyama, Taku Fujimura and Naoya Yamazaki. Their work appears in journals such as The Journal of Dermatology, Dermatologic Therapy, Melanoma Research, British Journal of Dermatology and Cancers.

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.

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