Kunio Mimura

26 papers receiving 388 citations

Peers

Kunio Mimura
Comparison fields: 5 of 86
  • Dermatology 124
  • Pharmaceutical Science 58
  • Biochemistry 29
  • Rehabilitation 28
  • Organic Chemistry 111
Replace T. Herrling with:
T. Herrling Germany
Alberto Casolari Italy
I.M. Hais Czechia
Janko Žmitek Slovenia
H. Bun France
Ann Cantrell United Kingdom
Yuanfa Yao China
A. Ya. Potapenko Russia
D. I. Roshchupkin Russia
Hugo Corstjens United States
Kunio Mimura relative to T. Herrling Germany T. Herrling's profile →
Citations per field
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T. Herrling · 1×
Citations per year

Countries citing papers authored by Kunio Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kunio Mimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kunio Mimura Line = papers co-authored together Kunio Mimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199777
2 199260
3 199341
4 199029
5 200328
6 200023
7 198123
8 198921
9 200217
10 199515
11 200212
12 199811
13 200110
14 19838
15 19907
16 19805
17
Fibrinolysis activity promotes tumor invasiveness of B16 melanoma cell lines through a reconstituted gel matrix.
19925
18 19894
19 19993
20 19893

About Kunio Mimura

Kunio Mimura is a scholar working on Dermatology, Organic Chemistry, Molecular Biology, Pharmaceutical Science and Complementary and alternative medicine, having authored 26 papers that have together received 412 indexed citations. Recurring topics across this work include Skin Protection and Aging (7 papers), Surfactants and Colloidal Systems (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Advancements in Transdermal Drug Delivery (4 papers), Traditional Chinese Medicine Analysis (4 papers), Dermatology and Skin Diseases (3 papers), Olfactory and Sensory Function Studies (3 papers) and Traditional Chinese Medicine Studies (3 papers). The work is most often cited by research in Dermatology (124 citations), Pharmaceutical Science (58 citations), Biochemistry (29 citations), Rehabilitation (28 citations) and Organic Chemistry (111 citations). Kunio Mimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuyuki Tsubone, Akinori Haratake, Yoshikazu Uchida, Keisuke Makino, Akifumi Hagi, Akira Murakami, Junsei Taira, Shigeo Baba, Takeshi Ikemoto and Peter M. Elias. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of Dermatological Science, International Journal of Cosmetic Science, Journal of the American Oil Chemists Society and Flavour and Fragrance Journal.

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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