Shigenori Nishimura

44 total papers · 503 total citations
26 papers, 401 citations indexed

About

Shigenori Nishimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biotechnology. According to data from OpenAlex, Shigenori Nishimura has authored 26 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Biotechnology. Recurrent topics in Shigenori Nishimura's work include Studies on Chitinases and Chitosanases (7 papers), Receptor Mechanisms and Signaling (4 papers) and Protein Structure and Dynamics (4 papers). Shigenori Nishimura is often cited by papers focused on Studies on Chitinases and Chitosanases (7 papers), Receptor Mechanisms and Signaling (4 papers) and Protein Structure and Dynamics (4 papers). Shigenori Nishimura collaborates with scholars based in Japan, Germany and Thailand. Shigenori Nishimura's co-authors include Yoshimasa Kyōgoku, Tadayasu Ohkubo, Yuji Kobayashi, Takashi Inui, Akihiro Sato, Satoshi Koyama, Masakazu Kobayashi, Haruhiko Tamaoki, Tsutomu Yasuda and Kenji Sugimoto and has published in prestigious journals such as Nature Communications, Scientific Reports and Biochemical Journal.

In The Last Decade

Shigenori Nishimura

25 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
Shigenori Nishimura 282 61 56 44 32 26 401
Kenji Kuromizu 338 1.2× 28 0.5× 20 0.4× 15 0.3× 21 0.7× 29 437
Roumyana Mironova 203 0.7× 16 0.3× 69 1.2× 37 0.8× 22 0.7× 28 371
Takashi Ohgita 204 0.7× 21 0.3× 82 1.5× 9 0.2× 21 0.7× 35 409
M. S. Moruzzi 275 1.0× 15 0.2× 35 0.6× 17 0.4× 11 0.3× 24 391
Paul Sauve 295 1.0× 46 0.8× 18 0.3× 22 0.5× 37 1.2× 20 442
Tsutomu Arakawa 292 1.0× 26 0.4× 20 0.4× 30 0.7× 39 1.2× 19 431
Yoshimasa Ike 274 1.0× 30 0.5× 15 0.3× 16 0.4× 9 0.3× 18 438
Á. Patthy 249 0.9× 45 0.7× 57 1.0× 36 0.8× 12 0.4× 22 383
William L. McLellan 257 0.9× 63 1.0× 23 0.4× 19 0.4× 34 1.1× 18 409
Robert P. Metzger 135 0.5× 26 0.4× 38 0.7× 80 1.8× 19 0.6× 31 352

Countries citing papers authored by Shigenori Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Shigenori Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigenori Nishimura

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