Go Muto
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Psoriasis: Treatment and Pathogenesis
- IL-33, ST2, and ILC Pathways
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- T-cell and B-cell Immunology 4
- Psoriasis: Treatment and Pathogenesis 4
- Immune Cell Function and Interaction 3
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- Workplace Health and Well-being 5
- Co-authors
- Akihiko Yoshimura (4 shared papers)Rimpei Morita (6 shared papers)Takashi Sekiya (5 shared papers)Reiko Takahashi (4 shared papers)Akihiko Yoshimura (5 shared papers)Naoko Inoue (4 shared papers)Mayako Asakawa (3 shared papers)Kenji Ichiyama (3 shared papers)
- Journals
- Industrial Health (6 papers)Modern Rheumatology (2 papers)BMC Public Health (2 papers)The Journal of Immunology (2 papers)Journal of Cancer Survivorship (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Go Muto
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Immunology 664
- Oncology 306
- Cancer Research 112
- Neurology 61
- Immunology and Allergy 30
Countries citing papers authored by Go Muto
This map shows the geographic impact of Go 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 Go Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Muto more than expected).
Fields of papers citing papers by Go Muto
This network shows the impact of papers produced by Go 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 Go Muto. The network helps show where Go Muto may publish in the future.
Co-authors
The 25 scholars most cited alongside Go 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 278 | |
| 2 | 2011 | 159 | |
| 3 | 2010 | 156 | |
| 4 | 2011 | 108 | |
| 5 | 2011 | 100 | |
| 6 | 2010 | 62 | |
| 7 | 2013 | 55 | |
| 8 | 2010 | 47 | |
| 9 | 2014 | 32 | |
| 10 | 2021 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 6 |
About Go Muto
Go Muto is a scholar working on Immunology, General Health Professions, Pulmonary and Respiratory Medicine, Oncology and Sociology and Political Science, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Workplace Health and Well-being (5 papers), T-cell and B-cell Immunology (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Cancer survivorship and care (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Occupational Health and Safety Research (3 papers), Vasculitis and related conditions (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (664 citations), Oncology (306 citations), Cancer Research (112 citations), Neurology (61 citations) and Immunology and Allergy (30 citations). Go Muto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Akihiko Yoshimura, Rimpei Morita, Takashi Sekiya, Reiko Takahashi, Akihiko Yoshimura, Naoko Inoue, Mayako Asakawa, Kenji Ichiyama, Eiichi Hasegawa and Taiga Tamiya. Their work appears in journals such as Industrial Health, Modern Rheumatology, BMC Public Health, The Journal of Immunology and Journal of Cancer Survivorship.
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.