Shigeo Kitayama

115 total papers · 2.5k total citations
77 papers, 2.1k citations indexed

About

Shigeo Kitayama is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Shigeo Kitayama has authored 77 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cellular and Molecular Neuroscience, 42 papers in Molecular Biology and 22 papers in Physiology. Recurrent topics in Shigeo Kitayama's work include Neuroscience and Neuropharmacology Research (34 papers), Neurotransmitter Receptor Influence on Behavior (29 papers) and Receptor Mechanisms and Signaling (22 papers). Shigeo Kitayama is often cited by papers focused on Neuroscience and Neuropharmacology Research (34 papers), Neurotransmitter Receptor Influence on Behavior (29 papers) and Receptor Mechanisms and Signaling (22 papers). Shigeo Kitayama collaborates with scholars based in Japan, United States and Poland. Shigeo Kitayama's co-authors include Toshihiro Dohi, George R. Uhl, Katsuya Morita, Shoichi Shimada, Chien-Liang Lin, Amrat Patel, Paul Gregor, Michael J. Kuhar, Elizabeth Nanthakumar and Akira Tsujimoto and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Shigeo Kitayama

77 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Shigeo Kitayama 1.4k 1.2k 275 192 154 77 2.1k
Gene C. Palmer 1.2k 0.9× 1.0k 0.9× 337 1.2× 165 0.9× 137 0.9× 112 2.2k
Toshihiro Dohi 1.3k 1.0× 1.2k 1.0× 654 2.4× 129 0.7× 203 1.3× 143 2.5k
Pierluigi Onali 1.9k 1.4× 1.9k 1.6× 315 1.1× 160 0.8× 102 0.7× 117 2.8k
Johannes C. Stoof 1.2k 0.9× 954 0.8× 184 0.7× 403 2.1× 58 0.4× 50 1.9k
Peter J. Syapin 1.1k 0.8× 799 0.7× 320 1.2× 127 0.7× 106 0.7× 73 2.3k
Peter P. Li 760 0.6× 1.1k 1.0× 188 0.7× 65 0.3× 124 0.8× 67 2.1k
Maria C. Olianas 2.2k 1.6× 2.0k 1.7× 389 1.4× 288 1.5× 118 0.8× 135 3.3k
G.G.S. Collins 1.5k 1.1× 893 0.8× 335 1.2× 270 1.4× 89 0.6× 60 2.3k
M.N. Perkins 1.2k 0.9× 918 0.8× 317 1.2× 102 0.5× 144 0.9× 35 2.5k
Gerald D. Frye 2.1k 1.5× 1.1k 0.9× 273 1.0× 243 1.3× 104 0.7× 88 2.9k

Countries citing papers authored by Shigeo Kitayama

Since Specialization
Citations

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

Fields of papers citing papers by Shigeo Kitayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeo Kitayama

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeo Kitayama. A scholar is included among the top collaborators of Shigeo Kitayama 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 Shigeo Kitayama. Shigeo Kitayama 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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2026