Masashi Fujitani

57 total papers · 2.4k total citations
43 papers, 1.9k citations indexed

About

Masashi Fujitani is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Masashi Fujitani has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 22 papers in Molecular Biology and 12 papers in Developmental Neuroscience. Recurrent topics in Masashi Fujitani's work include Nerve injury and regeneration (14 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Axon Guidance and Neuronal Signaling (7 papers). Masashi Fujitani is often cited by papers focused on Nerve injury and regeneration (14 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Axon Guidance and Neuronal Signaling (7 papers). Masashi Fujitani collaborates with scholars based in Japan, Canada and France. Masashi Fujitani's co-authors include Toshihide Yamashita, Satoru Yamagishi, Katsuhiko Hata, David R. Kaplan, Hideo Doya, Hitoshi Yasuda, Masaya Tohyama, Tomoko Saito, Yuichi Yasuda and Bernhard K. Mueller and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Masashi Fujitani

42 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Masashi Fujitani 931 776 450 376 232 43 1.9k
Ella Magal 902 1.0× 858 1.1× 663 1.5× 166 0.4× 289 1.2× 43 2.5k
H. deF. Webster 737 0.8× 652 0.8× 702 1.6× 188 0.5× 206 0.9× 47 1.9k
Maria Adele Rueger 1.0k 1.1× 525 0.7× 616 1.4× 237 0.6× 136 0.6× 67 2.4k
Francesco Bifari 875 0.9× 326 0.4× 408 0.9× 252 0.7× 202 0.9× 55 2.3k
Simon S. Murray 827 0.9× 1.2k 1.5× 749 1.7× 179 0.5× 222 1.0× 60 2.2k
Yona Goldshmit 894 1.0× 996 1.3× 646 1.4× 191 0.5× 204 0.9× 40 2.3k
Aviva J. Symes 1.3k 1.4× 772 1.0× 246 0.5× 456 1.2× 238 1.0× 70 2.7k
Roland H. Friedel 1.5k 1.6× 1.1k 1.4× 360 0.8× 364 1.0× 141 0.6× 60 2.9k
Jay Chang 1.4k 1.5× 506 0.7× 290 0.6× 400 1.1× 173 0.7× 20 2.1k
Betty Y. Tam 975 1.0× 337 0.4× 360 0.8× 348 0.9× 228 1.0× 29 2.2k

Countries citing papers authored by Masashi Fujitani

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Fujitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Fujitani

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