S Commo

1.7k total citations · 1 hit paper
20 papers, 1.3k citations indexed

About

S Commo is a scholar working on Cell Biology, Urology and Dermatology. According to data from OpenAlex, S Commo has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cell Biology, 12 papers in Urology and 10 papers in Dermatology. Recurrent topics in S Commo's work include Hair Growth and Disorders (12 papers), melanin and skin pigmentation (12 papers) and Skin Protection and Aging (9 papers). S Commo is often cited by papers focused on Hair Growth and Disorders (12 papers), melanin and skin pigmentation (12 papers) and Skin Protection and Aging (9 papers). S Commo collaborates with scholars based in France, Japan and Australia. S Commo's co-authors include Bruno Bernard, O Gaillard, Shosuke Ito, Kazumasa Wakamatsu, Jean‐François Michelet, Yann F. Mahé, Nelly Billoni, Fabio Cicoira, John D. Simon and Luigi Zecca and has published in prestigious journals such as Free Radical Biology and Medicine, Cellular and Molecular Life Sciences and Journal of Investigative Dermatology.

In The Last Decade

S Commo

19 papers receiving 1.2k citations

Hit Papers

Melanins and melanogenesis: from pigment cells to human h... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Commo France 16 793 592 580 234 191 20 1.3k
Marta Bertolini United Kingdom 21 410 0.5× 959 1.6× 701 1.2× 284 1.2× 55 0.3× 65 1.4k
Satoru Nakata Japan 24 383 0.5× 91 0.2× 581 1.0× 374 1.6× 86 0.5× 59 1.4k
Taketsugu Tadokoro Japan 12 487 0.6× 48 0.1× 585 1.0× 132 0.6× 97 0.5× 21 890
Izumi Horii Japan 20 205 0.3× 40 0.1× 558 1.0× 136 0.6× 23 0.1× 42 1.0k
Ravinder Kumar India 17 419 0.5× 40 0.1× 235 0.4× 124 0.5× 81 0.4× 48 797
Yu Inoue Japan 14 234 0.3× 44 0.1× 168 0.3× 224 1.0× 84 0.4× 46 619
Robin Kurfürst France 17 276 0.3× 32 0.1× 330 0.6× 388 1.7× 69 0.4× 31 912
Claire Marionnet France 18 276 0.3× 18 0.0× 799 1.4× 348 1.5× 27 0.1× 31 1.3k
J Borovanský Czechia 13 529 0.7× 17 0.0× 199 0.3× 299 1.3× 267 1.4× 50 921
Mirosława Cichorek Poland 12 353 0.4× 19 0.0× 195 0.3× 316 1.4× 113 0.6× 42 807

Countries citing papers authored by S Commo

Since Specialization
Citations

This map shows the geographic impact of S Commo'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 S Commo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Commo more than expected).

Fields of papers citing papers by S Commo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S Commo. 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 S Commo. The network helps show where S Commo may publish in the future.

Co-authorship network of co-authors of S Commo

This figure shows the co-authorship network connecting the top 25 collaborators of S Commo. A scholar is included among the top collaborators of S Commo 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 S Commo. S Commo 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.
Baltenneck, F, Duane P. Harland, Stefan Clerens, et al.. (2022). Age-associated thin hair displays molecular, structural and mechanical characteristic changes. Journal of Structural Biology. 214(4). 107908–107908. 1 indexed citations
2.
Verschoore, Michèle, et al.. (2022). Chinese Medical Association-L′Oréal China Skin & Hair Grant result summary--scalp and hair. Chinese Journal of Dermatology.
3.
4.
Sextius, Peggy, Richard J. Betts, S Commo, et al.. (2017). Polygonum multiflorum Radix extract protects human foreskin melanocytes from oxidative stress in vitro and potentiates hair follicle pigmentation ex vivo. International Journal of Cosmetic Science. 39(4). 419–425. 13 indexed citations
5.
Ito, Shosuke, Shoji Maruyama, Itaru Suzuki, et al.. (2017). Acid hydrolysis reveals a low but constant level of pheomelanin in human black to brown hair. Pigment Cell & Melanoma Research. 31(3). 393–403. 27 indexed citations
6.
d’Ischia, Marco, Kazumasa Wakamatsu, Fabio Cicoira, et al.. (2015). Melanins and melanogenesis: from pigment cells to human health and technological applications. Pigment Cell & Melanoma Research. 28(5). 520–544. 364 indexed citations breakdown →
7.
Ito, Shosuke, et al.. (2013). Neutral pH and copper ions promote eumelanogenesis after the dopachrome stage. Pigment Cell & Melanoma Research. 26(6). 817–825. 64 indexed citations
8.
Commo, S, Kazumasa Wakamatsu, S. Panhard, et al.. (2011). Age‐dependent changes in eumelanin composition in hairs of various ethnic origins. International Journal of Cosmetic Science. 34(1). 102–107. 30 indexed citations
9.
Commo, S, Jean-Philippe Belaïdi, Anne-Marie Alleaume, et al.. (2008). TRP-2 specifically decreases WM35 cell sensitivity to oxidative stress. Free Radical Biology and Medicine. 44(6). 1023–1031. 35 indexed citations
10.
Commo, S, et al.. (2008). TRP-2 expression protects HEK cells from dopamine- and hydroquinone-induced toxicity. Free Radical Biology and Medicine. 45(7). 1002–1010. 15 indexed citations
11.
Commo, S, et al.. (2004). Absence of TRP‐2 in Melanogenic Melanocytes of Human Hair. Pigment Cell Research. 17(5). 488–497. 56 indexed citations
12.
Commo, S, O Gaillard, & Bruno Bernard. (2004). Human hair greying is linked to a specific depletion of hair follicle melanocytes affecting both the bulb and the outer root sheath. British Journal of Dermatology. 150(3). 435–443. 129 indexed citations
13.
Mahé, Yann F., Jean‐François Michelet, Nelly Billoni, et al.. (2000). Androgenetic alopecia and microinflammation. International Journal of Dermatology. 39(8). 576–584. 132 indexed citations
14.
Commo, S & Bruno Bernard. (2000). Melanocyte Subpopulation Turnover During the Human Hair Cycle: An Immunohistochemical Study. Pigment Cell Research. 13(4). 253–259. 63 indexed citations
15.
Commo, S, O Gaillard, & Bruno Bernard. (2000). The human hair follicle contains two distinct K19 positive compartments in the outer root sheath: a unifying hypothesis for stem cell reservoir?. Differentiation. 66(4-5). 157–164. 94 indexed citations
16.
Commo, S, O Gaillard, & Bruno Bernard. (2000). The human hair follicle contains two distinct K19 positive compartments in the outer root sheath: a unifying hypothesis for stem cell reservoir?. Differentiation. 66(4-5). 157–164. 87 indexed citations
17.
18.
Michelet, Jean‐François, S Commo, Nelly Billoni, Yann F. Mahé, & Bruno Bernard. (1997). Activation of Cytoprotective Prostaglandin Synthase-1 by Minoxidil as a Possible Explanation for Its Hair Growth-Stimulating Effect. Journal of Investigative Dermatology. 108(2). 205–209. 75 indexed citations
19.
Commo, S & Bruno Bernard. (1997). Immunohistochemical analysis of tissue remodelling during the anagen-catagen transition of the human hair follicle. British Journal of Dermatology. 137(1). 31–38. 40 indexed citations
20.
Commo, S & Bruno Bernard. (1997). Immunohistochemical analysis of tissue remodelling during the anagen—catagen transition of the human hair follicle. British Journal of Dermatology. 137(1). 31–38. 16 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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