Katsuo Toide

47 total papers · 940 total citations
35 papers, 827 citations indexed

About

Katsuo Toide is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Katsuo Toide has authored 35 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Katsuo Toide's work include Neuropeptides and Animal Physiology (16 papers), Peptidase Inhibition and Analysis (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Katsuo Toide is often cited by papers focused on Neuropeptides and Animal Physiology (16 papers), Peptidase Inhibition and Analysis (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). Katsuo Toide collaborates with scholars based in Japan and United States. Katsuo Toide's co-authors include Masahiko Shinoda, Yohko Iwamoto, Takako Fujiwara, Kazuhiro Okamiya, Takashi Arima, Hiroko Abe, Takeshi Kato, Akira Miyazaki, Akira Matsuo and Shinichi Kohsaka and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Neurochemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Katsuo Toide

35 papers receiving 809 citations

Author Peers

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

Author Last Decade Papers Cites
Katsuo Toide 561 411 366 137 104 35 827
Philippe Morain 543 1.0× 577 1.4× 281 0.8× 112 0.8× 183 1.8× 33 1.0k
T Nagatsu 368 0.7× 306 0.7× 167 0.5× 91 0.7× 47 0.5× 46 1000
Hélène Scarna 427 0.8× 462 1.1× 128 0.3× 53 0.4× 78 0.8× 31 1.0k
Svetlana Leschiner 324 0.6× 541 1.3× 174 0.5× 91 0.7× 17 0.2× 36 1.0k
Andrea S. Heimann 343 0.6× 468 1.1× 121 0.3× 180 1.3× 353 3.4× 25 996
Nobue Kitanaka 465 0.8× 440 1.1× 111 0.3× 105 0.8× 87 0.8× 62 993
Mariangela Chisari 400 0.7× 574 1.4× 51 0.1× 146 1.1× 44 0.4× 35 973
Chan Nguyen 267 0.5× 325 0.8× 87 0.2× 194 1.4× 92 0.9× 18 754
Edna Matta‐Camacho 214 0.4× 545 1.3× 114 0.3× 39 0.3× 54 0.5× 21 862
Linda H. Fossom 572 1.0× 537 1.3× 44 0.1× 106 0.8× 102 1.0× 32 1.0k

Countries citing papers authored by Katsuo Toide

Since Specialization
Citations

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

Fields of papers citing papers by Katsuo Toide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuo Toide

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