Keiichi Sugata

26 total papers · 457 total citations
16 papers, 338 citations indexed

About

Keiichi Sugata is a scholar working on Dermatology, Pharmaceutical Science and Cell Biology. According to data from OpenAlex, Keiichi Sugata has authored 16 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Dermatology, 6 papers in Pharmaceutical Science and 4 papers in Cell Biology. Recurrent topics in Keiichi Sugata's work include Skin Protection and Aging (6 papers), Advancements in Transdermal Drug Delivery (6 papers) and Textile materials and evaluations (3 papers). Keiichi Sugata is often cited by papers focused on Skin Protection and Aging (6 papers), Advancements in Transdermal Drug Delivery (6 papers) and Textile materials and evaluations (3 papers). Keiichi Sugata collaborates with scholars based in Japan and United States. Keiichi Sugata's co-authors include Takashi Kitahara, Osamu Osanai, Yoshinori Takema, Atsushi Ohuchi, Mitsuyuki Hotta, Kazue Tsukahara, Yuki Miyauchi, Tsutomu Fujimura, Takafumi Nishijima and Tomohiko Sano and has published in prestigious journals such as Scientific Reports, Surface Science and Journal of Dermatological Science.

In The Last Decade

Keiichi Sugata

16 papers receiving 321 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Keiichi Sugata 205 52 51 47 43 16 338
Tomohiro Kuwahara 140 0.7× 49 0.9× 34 0.7× 58 1.2× 41 1.0× 18 295
Osamu Osanai 262 1.3× 73 1.4× 27 0.5× 54 1.1× 51 1.2× 19 396
Toyonobu Yamashita 227 1.1× 121 2.3× 12 0.2× 85 1.8× 63 1.5× 23 357
A Ostrowski 159 0.8× 11 0.2× 109 2.1× 53 1.1× 32 0.7× 12 398
Bardia Sadr 182 0.9× 24 0.5× 67 1.3× 34 0.7× 11 0.3× 12 349
Shuichiro FUKUSHIMA 64 0.3× 32 0.6× 5 0.1× 114 2.4× 111 2.6× 26 308
Iman Mansoor 108 0.5× 7 0.1× 209 4.1× 101 2.1× 23 0.5× 11 323
Joseph A. Muccini 215 1.0× 64 1.2× 19 0.4× 53 1.1× 18 0.4× 10 314
Victoria Newton 66 0.3× 41 0.8× 17 0.3× 76 1.6× 14 0.3× 21 374
Isabelle Le Fur 284 1.4× 55 1.1× 95 1.9× 8 0.2× 7 0.2× 8 388

Countries citing papers authored by Keiichi Sugata

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Sugata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Sugata

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Sugata. A scholar is included among the top collaborators of Keiichi Sugata 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 Keiichi Sugata. Keiichi Sugata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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