Yasutoshi Katakura

27 total papers · 553 total citations
21 papers, 473 citations indexed

About

Yasutoshi Katakura is a scholar working on Genetics, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Yasutoshi Katakura has authored 21 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Ecology. Recurrent topics in Yasutoshi Katakura's work include Insect and Arachnid Ecology and Behavior (15 papers), Neurobiology and Insect Physiology Research (10 papers) and Crustacean biology and ecology (7 papers). Yasutoshi Katakura is often cited by papers focused on Insect and Arachnid Ecology and Behavior (15 papers), Neurobiology and Insect Physiology Research (10 papers) and Crustacean biology and ecology (7 papers). Yasutoshi Katakura collaborates with scholars based in Japan and France. Yasutoshi Katakura's co-authors include Yuriko Hasegawa, Kazu Haino‐Fukushima, Kenji Yamasaki, Sachiko Suzuki, Tamie Nakajima, H Vainio, Reiko Kishi, Eivor Elovaara, Harry V. Gelboin and Gregory P. Martin and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, General and Comparative Endocrinology and Bioscience Biotechnology and Biochemistry.

In The Last Decade

Yasutoshi Katakura

21 papers receiving 448 citations

Author Peers

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

Author Last Decade Papers Cites
Yasutoshi Katakura 306 180 148 125 118 21 473
H Charniaux-Cotton 309 1.0× 102 0.6× 165 1.1× 186 1.5× 108 0.9× 16 469
Yuriko Hasegawa 332 1.1× 204 1.1× 265 1.8× 136 1.1× 143 1.2× 20 551
Ellen R. Busby 114 0.4× 136 0.8× 119 0.8× 142 1.1× 106 0.9× 13 506
Chizue Hiruta 135 0.4× 195 1.1× 101 0.7× 60 0.5× 43 0.4× 22 486
Geneviève Payen 290 0.9× 44 0.2× 151 1.0× 175 1.4× 59 0.5× 19 419
Matthew Landau 223 0.7× 51 0.3× 248 1.7× 181 1.4× 38 0.3× 28 451
Sufei Jiang 172 0.6× 162 0.9× 110 0.7× 257 2.1× 122 1.0× 43 507
Sherly Tomy 125 0.4× 225 1.3× 62 0.4× 164 1.3× 227 1.9× 14 432
Marilyn J. Bruce 308 1.0× 81 0.5× 403 2.7× 186 1.5× 21 0.2× 11 537
Zhongduo Wang 67 0.2× 98 0.5× 66 0.4× 116 0.9× 38 0.3× 60 520

Countries citing papers authored by Yasutoshi Katakura

Since Specialization
Citations

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

Fields of papers citing papers by Yasutoshi Katakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasutoshi Katakura

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