Satoshi Fujimoto

32 total papers · 1.7k total citations
21 papers, 1.2k citations indexed

About

Satoshi Fujimoto is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics. According to data from OpenAlex, Satoshi Fujimoto has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 5 papers in Biophysics. Recurrent topics in Satoshi Fujimoto's work include Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Satoshi Fujimoto is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (5 papers), Cell Image Analysis Techniques (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Satoshi Fujimoto collaborates with scholars based in Japan. Satoshi Fujimoto's co-authors include Takeshi Imai, Masahiko Negishi, Hironori Katoh, Shuhei Ueda, Yasuhiro Nakai, Tomoya S. Kitajima, Shuhei Yoshida, Makoto Sato, Rie Takayama and Yasuhiro Saito and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Nature Neuroscience.

In The Last Decade

Satoshi Fujimoto

21 papers receiving 1.2k citations

Hit Papers

SeeDB: a simple and morph... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Satoshi Fujimoto 513 478 342 254 229 21 1.2k
Hiroko Yukinaga 730 1.4× 341 0.7× 216 0.6× 164 0.6× 234 1.0× 9 1.3k
Heejin Choi 641 1.2× 506 1.1× 219 0.6× 351 1.4× 102 0.4× 39 1.5k
Takehiro Tawara 378 0.7× 460 1.0× 138 0.4× 204 0.8× 95 0.4× 15 1.0k
Takaaki Kuwajima 605 1.2× 206 0.4× 278 0.8× 115 0.5× 150 0.7× 20 1.0k
Terumasa Hibi 481 0.9× 308 0.6× 154 0.5× 237 0.9× 218 1.0× 31 1.1k
David S. Koos 590 1.2× 301 0.6× 399 1.2× 257 1.0× 148 0.6× 17 1.3k
Kana Namiki 625 1.2× 250 0.5× 195 0.6× 148 0.6× 59 0.3× 20 1.2k
David J. Logan 662 1.3× 328 0.7× 118 0.3× 192 0.8× 155 0.7× 16 1.5k
Melanie Richter 485 0.9× 162 0.3× 479 1.4× 82 0.3× 255 1.1× 25 1.0k
Bryce T. Bajar 938 1.8× 353 0.7× 236 0.7× 104 0.4× 213 0.9× 16 1.4k

Countries citing papers authored by Satoshi Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Fujimoto

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