Jun Muto

2.1k citations
61 papers · 1.6k · h-index 18

Impact in

    • Dermatology and Skin Diseases
    • Skin Protection and Aging
  • Immunology top 5%
    • Immune Response and Inflammation
    • Psoriasis: Treatment and Pathogenesis
    • IL-33, ST2, and ILC Pathways

Papers in

    • Dermatology and Skin Diseases 8
    • Immune Response and Inflammation 9
    • Psoriasis: Treatment and Pathogenesis 6
    • IL-33, ST2, and ILC Pathways 5

Jun Muto

53 papers receiving 1.5k citations

Peers

Jun Muto
Comparison fields: 5 of 103
  • Dermatology 367
  • Immunology 533
  • Immunology and Allergy 88
  • Cell Biology 250
  • Microbiology 72
Replace Márta Széll with:
Márta Széll Hungary
Patrick A.M. Jansen Netherlands
Shengxiang Xiao China
Jamie J. Bernard United States
Ola Rollman Sweden
Mieke Bergers Netherlands
Outi Elomaa Finland
Veronika Mlitz Austria
Xiuju Dai Japan
Hajime Nakano Japan
Jun Muto relative to Márta Széll Hungary Márta Széll's profile →
Citations per field
00.5×1.5×
Márta Széll · 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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012328
2 2009234
3 2010188
4 200998
5 201471
6 201658
7 200656
8 202251
9 202240
10 201435
11 202135
12 201331
13 201929
14 202127
15 201625
16 202120
17 201919
18 201218
19 202317
20 202216

About Jun Muto

Jun Muto is a scholar working on Dermatology, Immunology, Cell Biology, Pathology and Forensic Medicine and Rheumatology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (10 papers), Autoimmune Bullous Skin Diseases (9 papers), Immune Response and Inflammation (9 papers), Dermatology and Skin Diseases (8 papers), Psoriasis: Treatment and Pathogenesis (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Fibroblast Growth Factor Research (4 papers) and Skin and Cellular Biology Research (4 papers). The work is most often cited by research in Dermatology (367 citations), Immunology (533 citations), Immunology and Allergy (88 citations), Cell Biology (250 citations) and Microbiology (72 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, Laisel Martinez, Andrew W. Borkowski, Jamie J. Bernard and Beda Muehleisen. Their work appears in journals such as The Journal of Dermatology, Journal of Investigative Dermatology, European Journal of Dermatology, Journal of Dermatological Science and Clinical and Experimental 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.

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