Kunio Izu
Impact in
- Endocrinology top 2%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
Papers in
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- Dermatology and Skin Diseases 3
- Cutaneous lymphoproliferative disorders research 3
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Co-authors
- Y. Tokura (14 shared papers)Koji Maruta (2 shared papers)Hiroyuki Yamamoto (2 shared papers)Kei Arima (1 shared paper)Teruo Shiomori (1 shared paper)Hiroshi Miyamoto (1 shared paper)Jun Fujii (1 shared paper)S Yoshida (1 shared paper)
- Journals
- Microbial Pathogenesis (1 paper)Blood (1 paper)Clinical and Experimental Dermatology (1 paper)Journal of Dermatological Science (1 paper)The Journal of Dermatology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Kunio Izu
22 papers receiving 410 citations
Peers
Comparison fields: 5 of 73
- Endocrinology 172
- Dermatology 104
- Health, Toxicology and Mutagenesis 94
- Immunology 128
- Rheumatology 49
Countries citing papers authored by Kunio Izu
This map shows the geographic impact of Kunio Izu'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 Kunio Izu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Izu more than expected).
Fields of papers citing papers by Kunio Izu
This network shows the impact of papers produced by Kunio Izu. 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 Kunio Izu. The network helps show where Kunio Izu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunio Izu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 156 | |
| 2 | 2011 | 81 | |
| 3 | 2007 | 38 | |
| 4 | 1998 | 20 | |
| 5 | 2000 | 18 | |
| 6 | 1999 | 16 | |
| 7 | 2005 | 15 | |
| 8 | 2016 | 13 | |
| 9 | 2005 | 11 | |
| 10 | 2012 | 9 | |
| 11 | 2010 | 8 | |
| 12 | 2004 | 7 | |
| 13 | 2001 | 7 | |
| 14 | 2009 | 6 | |
| 15 | 2010 | 5 | |
| 16 | 2004 | 3 | |
| 17 | 2004 | 3 | |
| 18 | 2011 | 3 | |
| 19 | 2001 | 2 | |
| 20 | 2001 | 1 |
About Kunio Izu
Kunio Izu is a scholar working on Dermatology, Immunology, Rheumatology, Molecular Biology and Pathology and Forensic Medicine, having authored 24 papers that have together received 424 indexed citations. Recurring topics across this work include Urticaria and Related Conditions (5 papers), Legionella and Acanthamoeba research (4 papers), Autoimmune Bullous Skin Diseases (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Dermatology and Skin Diseases (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Endocrinology (172 citations), Dermatology (104 citations), Health, Toxicology and Mutagenesis (94 citations), Immunology (128 citations) and Rheumatology (49 citations). Kunio Izu has collaborated with scholars based in Japan and United States. Frequent co-authors include Y. Tokura, Koji Maruta, Hiroyuki Yamamoto, Kei Arima, Teruo Shiomori, Hiroshi Miyamoto, Jun Fujii, S Yoshida, Kazunari Sugita and Kenji Kabashima. Their work appears in journals such as Microbial Pathogenesis, Blood, Clinical and Experimental Dermatology, Journal of Dermatological Science and The Journal of 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.