Shigeru Nakashima

210 total papers · 7.4k total citations
174 papers, 6.3k citations indexed

About

Shigeru Nakashima is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Shigeru Nakashima has authored 174 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 28 papers in Cell Biology and 22 papers in Immunology. Recurrent topics in Shigeru Nakashima's work include Protein Kinase Regulation and GTPase Signaling (45 papers), Sphingolipid Metabolism and Signaling (19 papers) and Cell death mechanisms and regulation (15 papers). Shigeru Nakashima is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (45 papers), Sphingolipid Metabolism and Signaling (19 papers) and Cell death mechanisms and regulation (15 papers). Shigeru Nakashima collaborates with scholars based in Japan, United States and New Zealand. Shigeru Nakashima's co-authors include Yoshinori Nozawa, Yoshiko Banno, Noboru Sakai, Shinichi Yoshimura, Y Nozawa, Toru Iwama, Toyohiko Tohmatsu, Motoshi Sawada, Kenji Ohguchi and Yuka Ikegame and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Hepatology.

In The Last Decade

Shigeru Nakashima

171 papers receiving 6.2k citations

Author Peers

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

Author Last Decade Papers Cites
Shigeru Nakashima 3.9k 1.1k 838 669 647 174 6.3k
Bernd Nürnberg 4.3k 1.1× 817 0.8× 639 0.8× 988 1.5× 577 0.9× 152 6.5k
Marie A. Bogoyevitch 5.2k 1.3× 802 0.8× 765 0.9× 585 0.9× 863 1.3× 109 7.5k
Yoshiko Banno 4.3k 1.1× 1.5k 1.4× 734 0.9× 650 1.0× 612 0.9× 185 6.3k
Andrea Graziani 3.9k 1.0× 1.0k 1.0× 1.3k 1.5× 907 1.4× 999 1.5× 95 7.3k
Do Sik Min 4.1k 1.0× 805 0.8× 700 0.8× 522 0.8× 931 1.4× 204 6.4k
Denis English 3.4k 0.9× 970 0.9× 991 1.2× 1.5k 2.2× 424 0.7× 126 6.5k
E. Melloni 3.5k 0.9× 1.8k 1.7× 948 1.1× 796 1.2× 735 1.1× 202 6.2k
Takuya Noguchi 3.8k 1.0× 729 0.7× 671 0.8× 993 1.5× 404 0.6× 133 6.1k
Donat Kögel 3.8k 1.0× 914 0.9× 771 0.9× 503 0.8× 726 1.1× 122 5.9k
Lixin Sun 2.9k 0.7× 591 0.6× 497 0.6× 514 0.8× 910 1.4× 167 5.9k

Countries citing papers authored by Shigeru Nakashima

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Nakashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeru Nakashima

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