Kazuto Fujishima

29 total papers · 883 total citations
16 papers, 634 citations indexed

About

Kazuto Fujishima is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Kazuto Fujishima has authored 16 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Kazuto Fujishima's work include Neuroscience and Neuropharmacology Research (9 papers), Mitochondrial Function and Pathology (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Kazuto Fujishima is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Mitochondrial Function and Pathology (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Kazuto Fujishima collaborates with scholars based in Japan and United States. Kazuto Fujishima's co-authors include Mineko Kengaku, Tomoo Hirano, Mototsugu Eiraku, Akira Tohgo, Megumi Kaneko, Katsuhiko Ono, Azumi Yoshimura, John Heuser, Junko Kurisu and Atsushi Mochizuki and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and PLoS ONE.

In The Last Decade

Kazuto Fujishima

16 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Kazuto Fujishima 371 226 111 94 63 16 634
Sharen E. McKay 479 1.3× 206 0.9× 91 0.8× 127 1.4× 69 1.1× 17 754
Mauricio R. Galiano 381 1.0× 223 1.0× 173 1.6× 90 1.0× 116 1.8× 18 685
Antonella Bizzoca 475 1.3× 214 0.9× 80 0.7× 97 1.0× 61 1.0× 31 729
Olivier Stettler 447 1.2× 240 1.1× 118 1.1× 43 0.5× 58 0.9× 24 723
Vikas Kumar 418 1.1× 269 1.2× 97 0.9× 98 1.0× 75 1.2× 21 727
Catherine M. Drerup 394 1.1× 179 0.8× 214 1.9× 64 0.7× 82 1.3× 22 635
Michèle Carnaud 317 0.9× 299 1.3× 195 1.8× 92 1.0× 54 0.9× 11 620
Kai Murk 273 0.7× 193 0.9× 177 1.6× 75 0.8× 53 0.8× 13 593
Yutian Zhan 392 1.1× 180 0.8× 108 1.0× 53 0.6× 47 0.7× 27 758
Tomoko Hisaoka 291 0.8× 181 0.8× 62 0.6× 124 1.3× 65 1.0× 21 630

Countries citing papers authored by Kazuto Fujishima

Since Specialization
Citations

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

Fields of papers citing papers by Kazuto Fujishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuto Fujishima

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