Takeshi Yaoi

68 total papers · 1.4k total citations
50 papers, 1.1k citations indexed

About

Takeshi Yaoi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Takeshi Yaoi has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Takeshi Yaoi's work include Muscle Physiology and Disorders (8 papers), Mitochondrial Function and Pathology (7 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Takeshi Yaoi is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Mitochondrial Function and Pathology (7 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Takeshi Yaoi collaborates with scholars based in Japan, United States and Canada. Takeshi Yaoi's co-authors include Shinji Fushiki, Kyoko Itoh, Yasuhiro Fujiwara, Keiko Nakamura, Hiroshi Ogi, Takashi Nakayama, Goro Kuwajima, Tohru Sugimoto, Takahiro Fujimoto and Osamu Yoshie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Takeshi Yaoi

49 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Takeshi Yaoi 528 342 121 109 92 50 1.1k
Aris Polyzos 767 1.5× 142 0.4× 110 0.9× 111 1.0× 53 0.6× 25 1.1k
J. Lafond 422 0.8× 140 0.4× 98 0.8× 82 0.8× 31 0.3× 50 1.2k
Francesca Nuti 858 1.6× 141 0.4× 371 3.1× 62 0.6× 120 1.3× 63 1.5k
Martin Hergersberg 787 1.5× 203 0.6× 435 3.6× 133 1.2× 102 1.1× 35 1.4k
Mariko Shirota 528 1.0× 138 0.4× 353 2.9× 78 0.7× 42 0.5× 51 1.5k
Houyan Song 913 1.7× 99 0.3× 297 2.5× 69 0.6× 120 1.3× 59 1.4k
Bryce A. Mendelsohn 559 1.1× 69 0.2× 183 1.5× 155 1.4× 117 1.3× 28 1.0k
José María Carvajal-González 793 1.5× 166 0.5× 154 1.3× 67 0.6× 438 4.8× 39 1.3k
Loretta L. Collins 546 1.0× 117 0.3× 235 1.9× 221 2.0× 37 0.4× 32 1.1k
Ulrich Drews 788 1.5× 79 0.2× 297 2.5× 225 2.1× 69 0.8× 63 1.4k

Countries citing papers authored by Takeshi Yaoi

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Yaoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Yaoi

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Yaoi. A scholar is included among the top collaborators of Takeshi Yaoi 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 Takeshi Yaoi. Takeshi Yaoi 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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2026