Keizo Inoue

197 total papers · 11.5k total citations
184 papers, 9.9k citations indexed

About

Keizo Inoue is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Keizo Inoue has authored 184 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 32 papers in Cell Biology and 26 papers in Physiology. Recurrent topics in Keizo Inoue's work include Lipid Membrane Structure and Behavior (59 papers), Protein Kinase Regulation and GTPase Signaling (23 papers) and Erythrocyte Function and Pathophysiology (16 papers). Keizo Inoue is often cited by papers focused on Lipid Membrane Structure and Behavior (59 papers), Protein Kinase Regulation and GTPase Signaling (23 papers) and Erythrocyte Function and Pathophysiology (16 papers). Keizo Inoue collaborates with scholars based in Japan, United States and Germany. Keizo Inoue's co-authors include Hiroyuki Arai, Shoshichi Nojima, Ichiro Kudo, Junken Aoki, Masafumi Tsujimoto, Makoto Murakami, Masato Umeda, Hideki Adachi, Mitsuharu Hattori and Hiroyuki Arai and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Keizo Inoue

183 papers receiving 9.6k citations

Hit Papers

Autotaxin has lysophospho... 2002 2026 2010 2018 2002 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Keizo Inoue 6.5k 1.7k 1.4k 1.4k 875 184 9.9k
J.F. Kuo 9.2k 1.4× 1.7k 1.0× 1.6k 1.2× 604 0.4× 629 0.7× 180 12.8k
Steven Pelech 8.0k 1.2× 1.9k 1.1× 1.3k 0.9× 1.4k 1.1× 614 0.7× 215 12.3k
Catherine Brenner 10.9k 1.7× 1.4k 0.8× 1.1k 0.8× 1.8k 1.4× 387 0.4× 138 16.3k
Suzanne Jackowski 8.5k 1.3× 2.3k 1.3× 763 0.6× 681 0.5× 1.4k 1.6× 167 12.3k
Robert L. Heinrikson 7.1k 1.1× 1.4k 0.8× 2.2k 1.6× 727 0.5× 853 1.0× 171 11.8k
Wayne B. Anderson 6.6k 1.0× 1.2k 0.7× 1.0k 0.7× 947 0.7× 475 0.5× 150 9.1k
Xiao-Ming Yin 9.6k 1.5× 2.1k 1.2× 1.2k 0.9× 1.8k 1.3× 513 0.6× 95 16.2k
Robert Wattiaux 5.6k 0.9× 2.2k 1.3× 2.6k 1.9× 571 0.4× 872 1.0× 113 11.1k
Atsushi Matsuzawa 7.0k 1.1× 1.9k 1.1× 972 0.7× 2.5k 1.9× 389 0.4× 121 11.3k
Marcelo G. Kazanietz 9.9k 1.5× 2.3k 1.3× 922 0.7× 1.5k 1.1× 363 0.4× 192 13.2k

Countries citing papers authored by Keizo Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Keizo Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keizo Inoue

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