Tadashi Yano

178 total papers · 1.2k total citations
91 papers, 900 citations indexed

About

Tadashi Yano is a scholar working on Complementary and alternative medicine, Pharmacology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tadashi Yano has authored 91 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Complementary and alternative medicine, 21 papers in Pharmacology and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tadashi Yano's work include Acupuncture Treatment Research Studies (29 papers), Healthcare and Venom Research (17 papers) and Color Science and Applications (15 papers). Tadashi Yano is often cited by papers focused on Acupuncture Treatment Research Studies (29 papers), Healthcare and Venom Research (17 papers) and Color Science and Applications (15 papers). Tadashi Yano collaborates with scholars based in Japan, China and United States. Tadashi Yano's co-authors include Kenjiro Hashimoto, Naoto ISHIZAKI, Yoshinobu Nayatani, Kenji Kawakita, Motohiro Inoue, Yasukazu Katsumi, Kinya Kuriyama, Masanori Shimizu, Hiroshi Kitakoji and Kenji Imai and has published in prestigious journals such as Computer Physics Communications, Metabolism and Alcoholism Clinical and Experimental Research.

In The Last Decade

Tadashi Yano

70 papers receiving 833 citations

Author Peers

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

Author Last Decade Papers Cites
Tadashi Yano 453 200 187 167 144 91 900
Chang‐Ki Kang 107 0.2× 46 0.2× 158 0.8× 45 0.3× 21 0.1× 79 897
Jaeuk U. Kim 111 0.2× 43 0.2× 131 0.7× 56 0.3× 8 0.1× 71 823
Thomas G. Cooper 66 0.1× 28 0.1× 137 0.7× 25 0.1× 25 0.2× 27 894
Agatha P. Colbert 362 0.8× 6 0.0× 164 0.9× 119 0.7× 17 0.1× 37 1.0k
Ryuji Takeda 25 0.1× 58 0.3× 184 1.0× 48 0.3× 214 1.5× 89 973
Gerry Boyle 25 0.1× 27 0.1× 118 0.6× 60 0.4× 16 0.1× 50 808
Klaus Gräf 49 0.1× 17 0.1× 88 0.5× 27 0.2× 18 0.1× 85 826
Hidehiro Nakahara 59 0.1× 10 0.1× 135 0.7× 22 0.1× 74 0.5× 53 704
P.R. Barnes 43 0.1× 47 0.2× 19 0.1× 39 0.2× 27 0.2× 59 780
Yoshiyuki Fukuoka 435 1.0× 16 0.1× 41 0.2× 9 0.1× 10 0.1× 79 862

Countries citing papers authored by Tadashi Yano

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Yano

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