Yasuaki Mohri

3.4k total citations · 3 hit papers
22 papers, 2.0k citations indexed

About

Yasuaki Mohri is a scholar working on Molecular Biology, Urology and Cell Biology. According to data from OpenAlex, Yasuaki Mohri has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Urology and 9 papers in Cell Biology. Recurrent topics in Yasuaki Mohri's work include Hair Growth and Disorders (8 papers), Skin Protection and Aging (7 papers) and melanin and skin pigmentation (6 papers). Yasuaki Mohri is often cited by papers focused on Hair Growth and Disorders (8 papers), Skin Protection and Aging (7 papers) and melanin and skin pigmentation (6 papers). Yasuaki Mohri collaborates with scholars based in Japan, France and United States. Yasuaki Mohri's co-authors include Katsuhiko Nishimori, Emi K. Nishimura, Hironobu Morinaga, Hiroyuki Matsumura, Hans Clevers, Teck Yew Low, Daniel E. Stange, Wim de Lau, Johan H. van Es and Vivian Li and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Yasuaki Mohri

21 papers receiving 2.0k citations

Hit Papers

Lgr5 homologues associate... 2011 2026 2016 2021 2011 2019 2016 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasuaki Mohri Japan 15 1.1k 574 403 302 295 22 2.0k
Sunny Y. Wong United States 20 1.1k 1.0× 536 0.9× 327 0.8× 509 1.7× 218 0.7× 33 1.9k
Alberto Gandarillas Spain 29 1.4k 1.2× 646 1.1× 630 1.6× 146 0.5× 271 0.9× 53 2.3k
Ángel Ramı́rez Spain 25 1.4k 1.2× 464 0.8× 576 1.4× 336 1.1× 279 0.9× 63 2.5k
Daisuke Nanba Japan 22 1.0k 0.9× 560 1.0× 420 1.0× 116 0.4× 170 0.6× 48 2.1k
Michaël Nicolas Switzerland 15 1.2k 1.1× 375 0.7× 276 0.7× 189 0.6× 239 0.8× 24 2.6k
Hitomi Aoki Japan 24 1.2k 1.1× 636 1.1× 395 1.0× 197 0.7× 154 0.5× 90 2.2k
Mỹ G. Mahoney United States 30 1.4k 1.2× 276 0.5× 633 1.6× 214 0.7× 278 0.9× 68 3.2k
Sophie Dekoninck Belgium 9 1.1k 1.0× 966 1.7× 535 1.3× 119 0.4× 273 0.9× 10 2.4k
Yohei Hirai Japan 22 1.2k 1.0× 440 0.8× 685 1.7× 209 0.7× 143 0.5× 71 2.0k
Maranke I. Koster United States 25 1.9k 1.7× 1.1k 2.0× 617 1.5× 340 1.1× 296 1.0× 49 3.0k

Countries citing papers authored by Yasuaki Mohri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Mohri, Yasuaki, Jing Nie, Hironobu Morinaga, et al.. (2025). Antagonistic stem cell fates under stress govern decisions between hair greying and melanoma. Nature Cell Biology. 27(10). 1647–1659.
2.
Kato, Tomoki, Nan Liu, Hironobu Morinaga, et al.. (2021). Dynamic stem cell selection safeguards the genomic integrity of the epidermis. Developmental Cell. 56(24). 3309–3320.e5. 12 indexed citations
3.
Morinaga, Hironobu, Yasuaki Mohri, Marina Grachtchouk, et al.. (2021). Obesity accelerates hair thinning by stem cell-centric converging mechanisms. Nature. 595(7866). 266–271. 78 indexed citations
4.
Matsumura, Hiroyuki, Nan Liu, Daisuke Nanba, et al.. (2021). Distinct types of stem cell divisions determine organ regeneration and aging in hair follicles. Nature Aging. 1(2). 190–204. 17 indexed citations
5.
Namiki, Takeshi, Yasuaki Mohri, Tomomi Aida, et al.. (2021). Stem cell spreading dynamics intrinsically differentiate acral melanomas from nevi. Cell Reports. 36(5). 109492–109492. 9 indexed citations
6.
Liu, Nan, Hiroyuki Matsumura, Tomoki Kato, et al.. (2019). Stem cell competition orchestrates skin homeostasis and ageing. Nature. 568(7752). 344–350. 278 indexed citations breakdown →
7.
Sun, Qi, Wendy Lee, Yasuaki Mohri, et al.. (2019). A novel mouse model demonstrates that oncogenic melanocyte stem cells engender melanoma resembling human disease. Nature Communications. 10(1). 48 indexed citations
8.
Matsumura, Hiroyuki, Yasuaki Mohri, Hironobu Morinaga, et al.. (2017). Hair follicle aging is driven by transepidermal elimination of stem cells via COL17A1 proteolysis. Journal of Dermatological Science. 86(2). e53–e53. 6 indexed citations
9.
Matsumura, Hiroyuki, Yasuaki Mohri, Nguyễn Thanh Bình, et al.. (2016). Hair follicle aging is driven by transepidermal elimination of stem cells via COL17A1 proteolysis. Science. 351(6273). aad4395–aad4395. 278 indexed citations breakdown →
10.
Aoto, Takahiro, et al.. (2016). Coupling of the radiosensitivity of melanocyte stem cells to their dormancy during the hair cycle. Journal of Dermatological Science. 84(1). e80–e80. 1 indexed citations
11.
Matsumura, Hiroyuki, Yasuaki Mohri, Nguyễn Thanh Bình, et al.. (2016). Stem cells: Hair follicle aging is driven by transepidermal elimination of stem cells via COL17A1 proteolysis. 351(6273). 3 indexed citations
12.
Mohri, Yasuaki, et al.. (2016). LGR4 is required for sequential molar development. Biochemistry and Biophysics Reports. 8. 174–183. 15 indexed citations
13.
Aoto, Takahiro, et al.. (2014). Coupling of the radiosensitivity of melanocyte stem cells to their dormancy during the hair cycle. Pigment Cell & Melanoma Research. 27(4). 540–551. 31 indexed citations
14.
Mohri, Yasuaki, et al.. (2012). LGR4 Is Required for the Cell Survival of the Peripheral Mesenchyme at the Embryonic Stages of Nephrogenesis. Bioscience Biotechnology and Biochemistry. 76(5). 888–891. 9 indexed citations
15.
Oyama, Kei, et al.. (2011). Conditional Knockout of Lgr4 Leads to Impaired Ductal Elongation and Branching Morphogenesis in Mouse Mammary Glands. Sexual Development. 5(4). 205–212. 27 indexed citations
16.
Mohri, Yasuaki, et al.. (2011). Lgr4‐deficient mice showed premature differentiation of ureteric bud with reduced expression of Wnt effector Lef1 and Gata3. Developmental Dynamics. 240(6). 1626–1634. 26 indexed citations
17.
Lau, Wim de, Nick Barker, Teck Yew Low, et al.. (2011). Lgr5 homologues associate with Wnt receptors and mediate R-spondin signalling. Nature. 476(7360). 293–297. 976 indexed citations breakdown →
18.
Mohri, Yasuaki, Tomohiro Umezu, Shizu Hidema, et al.. (2010). Reduced fertility with impairment of early-stage embryos observed in mice lacking Lgr4 in epithelial tissues. Fertility and Sterility. 94(7). 2878–2881. 26 indexed citations
19.
Kato, Shigekí, Yasuaki Mohri, Tsuyoshi Matsuo, et al.. (2007). Eye‐open at birth phenotype with reduced keratinocyte motility in LGR4 null mice. FEBS Letters. 581(24). 4685–4690. 45 indexed citations
20.
Kato, Shigekí, Mitsunobu Matsubara, Tsuyoshi Matsuo, et al.. (2006). Leucine-Rich Repeat-Containing G Protein-Coupled Receptor-4 (LGR4, Gpr48) Is Essential for Renal Development in Mice. Nephron Experimental Nephrology. 104(2). e63–e75. 64 indexed citations

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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