Yasuaki Mohri
- Molecular Biology top 10%
- Oncology top 5%
- Cell Biology top 5%
- Genetics top 10%
- Urology top 1%
- Co-authors
- Katsuhiko NishimoriEmi K. NishimuraHironobu MorinagaHiroyuki MatsumuraHans CleversNick BarkerDaniele GuardavaccaroJohan H. van Es
- Topics
- Hair Growth and Disorders (8 papers)Skin Protection and Aging (7 papers)melanin and skin pigmentation (6 papers)
- Cited by
- UrologyDermatologyCell Biology
- Journals
- NatureScienceNature Communications
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Yasuaki Mohri
21 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.1k
- Oncology 574
- Cell Biology 403
- Genetics 302
- Urology 295
Countries citing papers authored by Yasuaki Mohri
This map shows the geographic impact of Yasuaki Mohri'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 Yasuaki Mohri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuaki Mohri more than expected).
Fields of papers citing papers by Yasuaki Mohri
This network shows the impact of papers produced by Yasuaki Mohri. 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 Yasuaki Mohri. The network helps show where Yasuaki Mohri may publish in the future.
Co-authorship network of co-authors of Yasuaki Mohri
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuaki Mohri. A scholar is included among the top collaborators of Yasuaki Mohri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasuaki Mohri. Yasuaki Mohri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 78 | |
| 4 | 17 | |
| 5 | 9 | |
| 6 | Stem cell competition orchestrates skin homeostasis and ageingbreakdown → | 278 |
| 7 | 48 | |
| 8 | 6 | |
| 9 | Hair follicle aging is driven by transepidermal elimination of stem cells via COL17A1 proteolysisbreakdown → | 278 |
| 10 | 15 | |
| 11 | Stem cells: Hair follicle aging is driven by transepidermal elimination of stem cells via COL17A1 proteolysis | 3 |
| 12 | 1 | |
| 13 | 31 | |
| 14 | 9 | |
| 15 | 27 | |
| 16 | 26 | |
| 17 | Lgr5 homologues associate with Wnt receptors and mediate R-spondin signallingbreakdown → | 976 |
| 18 | 26 | |
| 19 | 45 | |
| 20 | 64 |
About Yasuaki Mohri
Yasuaki Mohri is a scholar working on Urology, Dermatology and Cell Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hair Growth and Disorders (8 papers), Skin Protection and Aging (7 papers) and melanin and skin pigmentation (6 papers). The work is most often cited by research in Urology (295 citations), Dermatology (270 citations) and Cell Biology (403 citations). Yasuaki Mohri has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Katsuhiko Nishimori, Emi K. Nishimura, Hironobu Morinaga, Hiroyuki Matsumura, Hans Clevers, Nick Barker, Daniele Guardavaccaro, Johan H. van Es, Peter J. Peters and Marc van de Wetering. Their work appears in journals such as Nature, Science and Nature Communications.
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.