Satoru Tuzi

192 total papers · 2.5k total citations
81 papers, 1.9k citations indexed

About

Satoru Tuzi is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy and Molecular Biology. According to data from OpenAlex, Satoru Tuzi has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cellular and Molecular Neuroscience, 43 papers in Spectroscopy and 29 papers in Molecular Biology. Recurrent topics in Satoru Tuzi's work include Photoreceptor and optogenetics research (44 papers), Neuroscience and Neuropharmacology Research (42 papers) and Advanced NMR Techniques and Applications (35 papers). Satoru Tuzi is often cited by papers focused on Photoreceptor and optogenetics research (44 papers), Neuroscience and Neuropharmacology Research (42 papers) and Advanced NMR Techniques and Applications (35 papers). Satoru Tuzi collaborates with scholars based in Japan, United States and Italy. Satoru Tuzi's co-authors include Hazime Saitô, Akira Naito, Michikazu Tanio, Satoru Yamaguchi, Janos Κ. Lanyi, Richard Needleman, Katsuyuki Nishimura, Miya Kamihira, Akira Naito and Atsuko Y. Nosaka and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Applied Physics.

In The Last Decade

Satoru Tuzi

81 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
Satoru Tuzi 876 821 789 298 159 81 1.9k
Michael F. Brown 1.7k 2.0× 328 0.4× 574 0.7× 142 0.5× 74 0.5× 54 2.4k
Philip T. F. Williamson 927 1.1× 252 0.3× 378 0.5× 279 0.9× 133 0.8× 62 1.7k
Manuel Etzkorn 1.3k 1.5× 219 0.3× 892 1.1× 413 1.4× 66 0.4× 50 2.1k
Martin Engelhard 1.2k 1.4× 337 0.4× 334 0.4× 280 0.9× 54 0.3× 52 1.8k
Lena Mäler 1.4k 1.6× 150 0.2× 416 0.5× 210 0.7× 126 0.8× 83 2.0k
Peter Damberg 947 1.1× 259 0.3× 247 0.3× 131 0.4× 152 1.0× 51 1.8k
Esther Breslow 1.6k 1.9× 534 0.7× 431 0.5× 226 0.8× 32 0.2× 93 2.9k
Teodorico Tancredi 2.0k 2.2× 851 1.0× 320 0.4× 206 0.7× 131 0.8× 106 2.7k
Dror E. Warschawski 1.3k 1.4× 109 0.1× 538 0.7× 177 0.6× 141 0.9× 53 1.8k
Jean‐Michel Neumann 1.9k 2.1× 334 0.4× 292 0.4× 152 0.5× 49 0.3× 89 2.2k

Countries citing papers authored by Satoru Tuzi

Since Specialization
Citations

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

Fields of papers citing papers by Satoru Tuzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoru Tuzi

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