Kenji Kizawa
- Urology top 1%
- Hair Growth and Disorders 6
- Dermatology top 2%
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research 9
- Cell Biology top 10%
- Microbiology top 10%
- Antimicrobial Peptides and Activities 5
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- S100 Proteins and Annexins 15
- Signaling Pathways in Disease 6
- Connexins and lens biology 4
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- Protease and Inhibitor Mechanisms 5
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- Wound Healing and Treatments 4
- Co-authors
- Mayumi ItoGeorge CotsarelisKazuto HamadaHidenari TakaharaClaus W. HeizmannHideyo UchiwaMasaki UnnoTakafumi Inoue
- Journals
- Journal of Investigative Dermatology (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Kenji Kizawa
32 papers receiving 782 citations
Peers
Comparison fields: 5 of 75
- Urology 338
- Dermatology 196
- Immunology and Allergy 84
- Cell Biology 210
- Microbiology 63
Countries citing papers authored by Kenji Kizawa
This map shows the geographic impact of Kenji Kizawa'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 Kenji Kizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Kizawa more than expected).
Fields of papers citing papers by Kenji Kizawa
This network shows the impact of papers produced by Kenji Kizawa. 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 Kenji Kizawa. The network helps show where Kenji Kizawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenji Kizawa, 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 | 2022 | 3 | |
| 2 | 2021 | 15 | |
| 3 | 2014 | 0 | |
| 4 | 2013 | 3 | |
| 5 | 2012 | 6 | |
| 6 | 2012 | 9 | |
| 7 | 2012 | 16 | |
| 8 | 2011 | 47 | |
| 9 | 2007 | 55 | |
| 10 | 2005 | 20 | |
| 11 | 2004 | 13 | |
| 12 | Labile proteins accumulated in damaged hair upon permanent waving and bleaching treatments. | 2003 | 19 |
| 13 | 2002 | 19 | |
| 14 | 2001 | 72 | |
| 15 | 2001 | 8 | |
| 16 | Elution of S100A3 from hair fiber : New model for hair damage emphasizing the loss of S100A3 from cuticle | 2000 | 15 |
| 17 | 1998 | 39 | |
| 18 | 1996 | 42 | |
| 19 | 1995 | 3 | |
| 20 | 1988 | 22 |
About Kenji Kizawa
Kenji Kizawa is a scholar working on Immunology and Allergy, Urology and Microbiology, having authored 33 papers that have together received 808 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (15 papers), Cell Adhesion Molecules Research (9 papers), Hair Growth and Disorders (6 papers), Signaling Pathways in Disease (6 papers), Antimicrobial Peptides and Activities (5 papers), Protease and Inhibitor Mechanisms (5 papers), Wound Healing and Treatments (4 papers) and Connexins and lens biology (4 papers). The work is most often cited by research in Urology (338 citations), Dermatology (196 citations) and Immunology and Allergy (84 citations). Kenji Kizawa has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Mayumi Ito, George Cotsarelis, Kazuto Hamada, Hidenari Takahara, Claus W. Heizmann, Hideyo Uchiwa, Masaki Unno, Takafumi Inoue, Masahiko Toyoda and Masaaki Morohashi. Their work appears in journals such as Journal of Investigative Dermatology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Molecular Biology, Differentiation and Journal of Agricultural and Food Chemistry.
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.