Yasushi Kishimoto

122 total papers · 1.9k total citations
58 papers, 1.5k citations indexed

About

Yasushi Kishimoto is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Yasushi Kishimoto has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 20 papers in Molecular Biology and 16 papers in Neurology. Recurrent topics in Yasushi Kishimoto's work include Neuroscience and Neuropharmacology Research (28 papers), Memory and Neural Mechanisms (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Yasushi Kishimoto is often cited by papers focused on Neuroscience and Neuropharmacology Research (28 papers), Memory and Neural Mechanisms (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Yasushi Kishimoto collaborates with scholars based in Japan, United States and Taiwan. Yasushi Kishimoto's co-authors include Yutaka Kirino, Masanobu Kano, Shigenori Kawahara, Hisashi Mori, Masayoshi Mishina, Michiyuki Suzuki, Tohru Yoshioka, Norio Noguchi, Goshi Shiota and Kazuo Yashima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Yasushi Kishimoto

56 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Yasushi Kishimoto 787 499 385 382 243 58 1.5k
Elvire Vaucher 740 0.9× 577 1.2× 248 0.6× 581 1.5× 139 0.6× 58 1.8k
Sara Xapelli 781 1.0× 602 1.2× 320 0.8× 158 0.4× 185 0.8× 57 1.8k
Jun Kosaka 384 0.5× 631 1.3× 273 0.7× 225 0.6× 96 0.4× 59 1.6k
Ricardo Augusto de Melo Reis 697 0.9× 741 1.5× 187 0.5× 101 0.3× 336 1.4× 88 1.8k
Hongyu Zhang 356 0.5× 618 1.2× 189 0.5× 356 0.9× 62 0.3× 43 1.7k
Yong Li 434 0.6× 372 0.7× 192 0.5× 211 0.6× 425 1.7× 45 1.6k
Chikao Nakayama 892 1.1× 593 1.2× 128 0.3× 108 0.3× 64 0.3× 48 1.8k
Hyo Jung Kang 378 0.5× 560 1.1× 226 0.6× 149 0.4× 211 0.9× 49 1.7k
David Reigada 349 0.4× 654 1.3× 167 0.4× 73 0.2× 275 1.1× 40 1.6k
Álvaro O. Ardiles 424 0.5× 469 0.9× 152 0.4× 161 0.4× 68 0.3× 37 1.2k

Countries citing papers authored by Yasushi Kishimoto

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Kishimoto

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