Ko Matsudaira

217 total papers · 4.8k total citations
155 papers, 2.9k citations indexed

About

Ko Matsudaira is a scholar working on Pharmacology, Pathology and Forensic Medicine and Psychiatry and Mental health. According to data from OpenAlex, Ko Matsudaira has authored 155 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Pharmacology, 48 papers in Pathology and Forensic Medicine and 48 papers in Psychiatry and Mental health. Recurrent topics in Ko Matsudaira's work include Musculoskeletal pain and rehabilitation (106 papers), Spine and Intervertebral Disc Pathology (48 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (36 papers). Ko Matsudaira is often cited by papers focused on Musculoskeletal pain and rehabilitation (106 papers), Spine and Intervertebral Disc Pathology (48 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (36 papers). Ko Matsudaira collaborates with scholars based in Japan, United States and United Kingdom. Ko Matsudaira's co-authors include Hiroyuki Oka, Tomoko Fujii, Katsushi Takeshita, Sakae Tanaka, Nobuhiro Hara, Kozo Nakamura, Juichi Tonosu, Takayuki Sawada, Norimasa Kikuchi and Hirotaka Chikuda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ko Matsudaira

147 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Ko Matsudaira 1.7k 945 858 545 367 155 2.9k
Andrew J. Haig 1.9k 1.1× 1.5k 1.6× 1.2k 1.4× 374 0.7× 177 0.5× 152 3.6k
Paolo Pillastrini 1.5k 0.9× 548 0.6× 664 0.8× 419 0.8× 188 0.5× 115 2.6k
Ottar Vasseljen 2.1k 1.3× 557 0.6× 490 0.6× 514 0.9× 313 0.9× 79 3.0k
Aage Indahl 2.7k 1.6× 1.4k 1.5× 656 0.8× 519 1.0× 530 1.4× 53 3.1k
Jane C. Johnson 1.3k 0.8× 521 0.6× 588 0.7× 1.1k 2.0× 426 1.2× 106 3.9k
Stephen May 1.9k 1.1× 672 0.7× 1.1k 1.3× 331 0.6× 248 0.7× 96 3.0k
Tom Bendix 2.7k 1.6× 1.8k 1.9× 789 0.9× 436 0.8× 210 0.6× 67 3.4k
Kjersti Storheim 2.0k 1.2× 1.4k 1.5× 1.7k 2.0× 356 0.7× 272 0.7× 149 3.7k
Andrew A. Guccione 1.2k 0.7× 388 0.4× 1.1k 1.3× 569 1.0× 425 1.2× 89 4.0k
Carlo Ammendolia 2.2k 1.3× 1.3k 1.3× 825 1.0× 275 0.5× 600 1.6× 66 3.3k

Countries citing papers authored by Ko Matsudaira

Since Specialization
Citations

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

Fields of papers citing papers by Ko Matsudaira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ko Matsudaira

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