Shinya Koyama

68 total papers · 1.9k total citations
43 papers, 1.5k citations indexed

About

Shinya Koyama is a scholar working on Molecular Biology, Neurology and Surgery. According to data from OpenAlex, Shinya Koyama has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Neurology and 10 papers in Surgery. Recurrent topics in Shinya Koyama's work include Protein Kinase Regulation and GTPase Signaling (8 papers), Biochemical Acid Research Studies (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Shinya Koyama is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), Biochemical Acid Research Studies (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Shinya Koyama collaborates with scholars based in Japan, United States and Canada. Shinya Koyama's co-authors include Akira Kikuchi, Shosei Kishida, Daniel K. Podolsky, Satoshi Ikeda, Hideki Yamamoto, Michiko Kishida, Ikuo Sakamoto, Shintaro Nakashima, Kenji Matsubara and Takao Hinoi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Cell Biology.

In The Last Decade

Shinya Koyama

42 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Shinya Koyama 1.1k 252 197 117 106 43 1.5k
Mei Zheng 967 0.9× 380 1.5× 290 1.5× 84 0.7× 127 1.2× 51 1.7k
Pamela Bielli 1.6k 1.4× 242 1.0× 165 0.8× 68 0.6× 96 0.9× 35 2.2k
Zhiyong Ding 1.3k 1.1× 254 1.0× 453 2.3× 117 1.0× 166 1.6× 41 2.0k
Teijiro Aso 1.4k 1.2× 234 0.9× 221 1.1× 45 0.4× 128 1.2× 33 1.9k
Liping Liu 1.4k 1.2× 301 1.2× 240 1.2× 66 0.6× 138 1.3× 49 2.2k
Christopher B. Jackson 1.3k 1.1× 123 0.5× 148 0.8× 84 0.7× 149 1.4× 53 1.9k
Maurizio Orlandini 1.3k 1.1× 184 0.7× 491 2.5× 78 0.7× 100 0.9× 66 1.9k
Handong Wei 1.0k 0.9× 239 0.9× 200 1.0× 154 1.3× 162 1.5× 52 1.7k
Wei Ding 932 0.8× 138 0.5× 323 1.6× 88 0.8× 147 1.4× 66 1.6k
Chun‐Ping Cui 1.2k 1.1× 138 0.5× 335 1.7× 159 1.4× 68 0.6× 59 1.7k

Countries citing papers authored by Shinya Koyama

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Koyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Koyama

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