Jun Muto
- Dermatology top 1%
- Dermatology and Skin Diseases 7
- Immunology top 5%
- Immune Response and Inflammation 9
- IL-33, ST2, and ILC Pathways 6
- Psoriasis: Treatment and Pathogenesis 4
- Immune Cell Function and Interaction 3
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 8
- Immunology and Allergy top 10%
- Microbiology top 5%
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- Autoimmune Bullous Skin Diseases 6
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- Fibroblast Growth Factor Research 3
- Co-authors
- Richard L. GalloKenshi YamasakiKristen R. TaylorAnna L. CogenTeruaki NakatsujiBeda MuehleisenLaisel MartinezJamie J. Bernard
- Cited by
- DermatologyImmunologyCell Biology
- Journals
- Journal of Investigative Dermatology (6 papers)The Journal of Dermatology (4 papers)PLoS ONE (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Jun Muto
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Dermatology 337
- Immunology 525
- Cell Biology 237
- Immunology and Allergy 87
- Microbiology 72
Countries citing papers authored by Jun Muto
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 6 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 0 | |
| 13 | 2019 | 26 | |
| 14 | 2019 | 15 | |
| 15 | 2018 | 12 | |
| 16 | 2016 | 56 | |
| 17 | 2013 | 11 | |
| 18 | 2009 | 225 | |
| 19 | 2009 | 93 | |
| 20 | 1992 | 8 |
About Jun Muto
Jun Muto is a scholar working on Dermatology, Immunology and Cell Biology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Proteoglycans and glycosaminoglycans research (8 papers), Dermatology and Skin Diseases (7 papers), Autoimmune Bullous Skin Diseases (6 papers), IL-33, ST2, and ILC Pathways (6 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Fibroblast Growth Factor Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Dermatology (337 citations), Immunology (525 citations) and Cell Biology (237 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, Beda Muehleisen, Laisel Martinez, Jamie J. Bernard, Andrew W. Borkowski and Eric L. Greidinger. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Dermatology, PLoS ONE, Clinical and Experimental Dermatology and Neurosurgical FOCUS.
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.