Jun Muto

2.0k citations
54 papers · 1.5k · h-index 17

Impact in

    • Dermatology and Skin Diseases
    • Skin Protection and Aging
  • Immunology top 5%
    • Immune Response and Inflammation
    • interferon and immune responses
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Response and Inflammation 8
    • IL-33, ST2, and ILC Pathways 5
    • Psoriasis: Treatment and Pathogenesis 4
    • Dermatology and Skin Diseases 6

Jun Muto

46 papers receiving 1.5k citations

Peers

Jun Muto
Comparison fields: 5 of 105
  • Dermatology 327
  • Immunology 506
  • Cell Biology 232
  • Immunology and Allergy 78
  • Microbiology 71
Replace Jamie J. Bernard with:
Jamie J. Bernard United States
Shengxiang Xiao China
Mieke Bergers Netherlands
Márta Széll Hungary
Ola Rollman Sweden
Raj S. Mitra United States
Outi Elomaa Finland
Veronika Mlitz Austria
Xiuju Dai Japan
Patrick A.M. Jansen Netherlands
Jun Muto relative to Jamie J. Bernard United States Jamie J. Bernard's profile →
Citations per field
00.5×1.5×2.5×
Jamie J. Bernard · 1×
Citations per year

Countries citing papers authored by Jun Muto

Since Specialization
Citations

This map shows the geographic impact of Jun 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 Jun Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Muto more than expected).

Fields of papers citing papers by Jun Muto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun 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 Jun Muto. The network helps show where Jun Muto may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Muto Line = papers co-authored together Jun Muto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012318
2 2009235
3 2010183
4 200997
5 201469
6 201658
7 200653
8 202244
9 202237
10 201435
11 202133
12 201331
13 201927
14 202126
15 201623
16 201218
17 202316
18 202216
19 201316
20 202116

About Jun Muto

Jun Muto is a scholar working on Immunology, Dermatology, Cell Biology, Surgery and Pathology and Forensic Medicine, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (8 papers), Immune Response and Inflammation (8 papers), Autoimmune Bullous Skin Diseases (6 papers), Dermatology and Skin Diseases (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Fibroblast Growth Factor Research (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Dermatology (327 citations), Immunology (506 citations), Cell Biology (232 citations), Immunology and Allergy (78 citations) and Microbiology (71 citations). Jun Muto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Richard L. Gallo, Kenshi Yamasaki, Kristen R. Taylor, Anna L. Cogen, Teruaki Nakatsuji, Eric L. Greidinger, Andrew W. Borkowski, Laisel Martinez, Benjamin Yu and Jamie J. Bernard. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Dermatology, PLoS ONE, Neurosurgical FOCUS and Journal of Dermatological Science.

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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