Norimichi Tomohiro

17 total papers · 457 total citations
14 papers, 403 citations indexed

About

Norimichi Tomohiro is a scholar working on Pharmacology, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Norimichi Tomohiro has authored 14 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Complementary and alternative medicine and 6 papers in Molecular Biology. Recurrent topics in Norimichi Tomohiro's work include Traditional Chinese Medicine Analysis (5 papers), Natural product bioactivities and synthesis (4 papers) and Essential Oils and Antimicrobial Activity (3 papers). Norimichi Tomohiro is often cited by papers focused on Traditional Chinese Medicine Analysis (5 papers), Natural product bioactivities and synthesis (4 papers) and Essential Oils and Antimicrobial Activity (3 papers). Norimichi Tomohiro collaborates with scholars based in Japan. Norimichi Tomohiro's co-authors include Hideaki Matsuda, Michinori Kubo, Masayuki Yoshikawa, Michinori KUBO, Masayuki YOSHIKAWA, Shoichi Harima, Keizo Matsuo, Toshiro Niwa, Atsushi Kawase and Megumi Masuda and has published in prestigious journals such as Biological and Pharmaceutical Bulletin, Chemical and Pharmaceutical Bulletin and Natural Product Communications.

In The Last Decade

Norimichi Tomohiro

14 papers receiving 381 citations

Author Peers

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

Author Last Decade Papers Cites
Norimichi Tomohiro 190 107 89 87 63 14 403
Wen-Te Chang 164 0.9× 131 1.2× 54 0.6× 78 0.9× 90 1.4× 15 410
Kwangho Song 221 1.2× 66 0.6× 45 0.5× 59 0.7× 34 0.5× 20 441
Myung Hee Hong 212 1.1× 88 0.8× 77 0.9× 63 0.7× 60 1.0× 11 415
Kur-Ta Cheng 174 0.9× 61 0.6× 45 0.5× 37 0.4× 72 1.1× 16 365
Wonsik Jeong 174 0.9× 109 1.0× 42 0.5× 85 1.0× 62 1.0× 32 364
Ching-Po Lau 194 1.0× 89 0.8× 81 0.9× 70 0.8× 59 0.9× 12 398
Lilian Ji 208 1.1× 131 1.2× 91 1.0× 50 0.6× 65 1.0× 20 428
MASAMI YOKOTA 163 0.9× 136 1.3× 57 0.6× 121 1.4× 67 1.1× 23 391
Tae‐Young Oh 156 0.8× 65 0.6× 47 0.5× 66 0.8× 75 1.2× 18 423
B. Sripanidkulchai 97 0.5× 157 1.5× 79 0.9× 161 1.9× 37 0.6× 8 439

Countries citing papers authored by Norimichi Tomohiro

Since Specialization
Citations

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

Fields of papers citing papers by Norimichi Tomohiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norimichi Tomohiro

This figure shows the co-authorship network connecting the top 25 collaborators of Norimichi Tomohiro. A scholar is included among the top collaborators of Norimichi Tomohiro 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 Norimichi Tomohiro. Norimichi Tomohiro 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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