Go Muto

1.5k citations
34 papers · 1.1k indexed · h-index 12

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

Go Muto

31 papers receiving 1.1k citations

Peers

Go Muto
Comparison fields: 5 of 116
  • Immunology 664
  • Oncology 306
  • Cancer Research 112
  • Neurology 61
  • Immunology and Allergy 30
Replace Louise McLeod with:
Louise McLeod Australia
Beilei Cai United States
Dan Hu China
J. Van Damme Belgium
Paula B. Donate Brazil
Wendy A. Goodman United States
Ahmad Al‐Attar United States
Bin Zhong China
Beata Berent-Maoz United States
Susanne Hofer Austria
Go Muto relative to Louise McLeod Australia Louise McLeod's profile →
Citations per field
00.5×1.5×2.3×
Louise McLeod · 1×
Citations per year

Countries citing papers authored by Go Muto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 20227
4 20220
5 20217
6 202112
7 20219
8 20195
9 201911
10 201910
11 20188
12 20182
13 201432
14 201355
15 2011100
16 20113
17 2011108
18 201062
19 20105
20 2010156

About Go Muto

Go Muto is a scholar working on Radiological and Ultrasound Technology, Occupational Therapy, Immunology, Health and Emergency Medical Services, 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), Cancer survivorship and care (4 papers), Psoriasis: Treatment and Pathogenesis (4 papers), T-cell and B-cell Immunology (4 papers), Occupational Health and Safety Research (3 papers), Employment and Welfare Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Family Support in Illness (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, Naoko Inoue, Akihiko Yoshimura, Mayako Asakawa, Kenji Ichiyama, Eiichi Hasegawa and Akihiro Kimura. 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.

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