Tadamichi MITSUMA

109 total papers · 400 total citations
70 papers, 220 citations indexed

About

Tadamichi MITSUMA is a scholar working on Pharmacology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Tadamichi MITSUMA has authored 70 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pharmacology, 24 papers in Complementary and alternative medicine and 13 papers in Pharmacology. Recurrent topics in Tadamichi MITSUMA's work include Pharmacological Effects of Natural Compounds (26 papers), Traditional Chinese Medicine Studies (13 papers) and Pathogenesis and Treatment of Hiccups (12 papers). Tadamichi MITSUMA is often cited by papers focused on Pharmacological Effects of Natural Compounds (26 papers), Traditional Chinese Medicine Studies (13 papers) and Pathogenesis and Treatment of Hiccups (12 papers). Tadamichi MITSUMA collaborates with scholars based in Japan, China and United States. Tadamichi MITSUMA's co-authors include Katsutoshi TERASAWA, Takako Yokozawa, Masao Suzuki, Hikokíchi Oura, Tomoko Suzuki, Michiho Ito, Yukiko Ueda, Kenji Watanabe, Takashi Togo and Yuki Amano and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Phytomedicine.

In The Last Decade

Tadamichi MITSUMA

48 papers receiving 207 citations

Author Peers

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

Author Last Decade Papers Cites
Tadamichi MITSUMA 77 71 35 31 30 70 220
Yihua Fan 86 1.1× 57 0.8× 32 0.9× 19 0.6× 23 0.8× 55 292
Shi-Bing Liang 80 1.0× 54 0.8× 32 0.9× 24 0.8× 14 0.5× 28 269
Wei-An Yuan 87 1.1× 81 1.1× 26 0.7× 28 0.9× 13 0.4× 35 313
Buket Demirci 26 0.3× 43 0.6× 41 1.2× 13 0.4× 47 1.6× 46 313
Abdulmenap Güzel 46 0.6× 58 0.8× 12 0.3× 18 0.6× 25 0.8× 26 305
Jung‐Hyun Kim 69 0.9× 21 0.3× 70 2.0× 15 0.5× 51 1.7× 62 326
Yasir Furkan Çağın 31 0.4× 39 0.5× 16 0.5× 54 1.7× 12 0.4× 31 256
Yufei Yang 56 0.7× 38 0.5× 17 0.5× 21 0.7× 23 0.8× 36 248
Liyun He 104 1.4× 29 0.4× 18 0.5× 10 0.3× 15 0.5× 34 240
Seo‐Young Kim 40 0.5× 18 0.3× 70 2.0× 29 0.9× 32 1.1× 43 318

Countries citing papers authored by Tadamichi MITSUMA

Since Specialization
Citations

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

Fields of papers citing papers by Tadamichi MITSUMA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadamichi MITSUMA

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