Ko Matsudaira

4.9k 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ko Matsudaira Japan 32 1.7k 952 866 553 368 155 2.9k
Aage Indahl Norway 25 2.7k 1.6× 1.4k 1.5× 645 0.7× 519 0.9× 530 1.4× 53 3.1k
Paolo Pillastrini Italy 31 1.6k 0.9× 554 0.6× 672 0.8× 424 0.8× 186 0.5× 116 2.6k
Carlo Ammendolia Canada 25 2.2k 1.3× 1.3k 1.3× 827 1.0× 277 0.5× 605 1.6× 67 3.3k
Andrew J. Haig United States 36 1.9k 1.1× 1.5k 1.6× 1.2k 1.4× 374 0.7× 177 0.5× 152 3.6k
Tom Bendix Denmark 30 2.6k 1.6× 1.8k 1.9× 790 0.9× 431 0.8× 200 0.5× 66 3.4k
James Rainville United States 31 2.9k 1.7× 1.4k 1.5× 599 0.7× 677 1.2× 318 0.9× 61 3.4k
Albère Köke Netherlands 27 2.7k 1.6× 899 0.9× 594 0.7× 909 1.6× 401 1.1× 78 4.0k
Kjersti Storheim Norway 30 2.0k 1.2× 1.4k 1.5× 1.7k 2.0× 357 0.6× 268 0.7× 151 3.8k
René Fejer Denmark 19 1.8k 1.1× 686 0.7× 654 0.8× 610 1.1× 115 0.3× 23 3.2k
Alan Breen United Kingdom 28 2.9k 1.7× 1.3k 1.4× 715 0.8× 626 1.1× 450 1.2× 100 3.7k

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

20 of 20 papers shown
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Matsudaira, Ko. (2023). Multifaceted Rehabilitation for Chronic Low Back Pain and Its Methods：Treatment Strategies Based on a Multi-layered Model of Pain. The Japanese Journal of Rehabilitation Medicine. 60(7). 605–614.
4.
Yamada, Keiko, Tomoko Fujii, Yasuhiko Kubota, et al.. (2022). Prevalence and municipal variation in chronic musculoskeletal pain among independent older people: data from the Japan Gerontological Evaluation Study (JAGES). BMC Musculoskeletal Disorders. 23(1). 755–755. 9 indexed citations
5.
Doi, Tôru, Koji Nakajima, Naoki Okamoto, et al.. (2021). Association Between Deep Posterior Cervical Paraspinal Muscle Morphology and Clinical Features in Patients With Cervical Ossification of the Posterior Longitudinal Ligament. Global Spine Journal. 13(1). 8–16. 11 indexed citations
6.
Fukushima, Masayoshi, Hiroyuki Oka, Y. Yuzawa, et al.. (2020). Evaluation of the Minimum Clinically Important Differences of the Zurich Claudication Questionnaire in Patients With Lumbar Spinal Stenosis. Clinical Spine Surgery A Spine Publication. 33(10). E499–E503. 10 indexed citations
7.
Yoshimoto, Takahiko, Hiroyuki Oka, Hirotaka Ochiai, et al.. (2020). Presenteeism and Associated Factors Among Nursing Personnel with Low Back Pain: A Cross-Sectional Study. SHILAP Revista de lepidopterología. 2 indexed citations
8.
Yoshimoto, Takahiko, Hiroyuki Oka, Hirotaka Ochiai, et al.. (2020). <p>Presenteeism and Associated Factors Among Nursing Personnel with Low Back Pain: A Cross-Sectional Study</p>. Journal of Pain Research. Volume 13. 2979–2986. 14 indexed citations
9.
Fujii, Tomoko, Hiroyuki Oka, Takuo Nomura, et al.. (2019). Association between high fear-avoidance beliefs about physical activity and chronic disabling low back pain in nurses in Japan. BMC Musculoskeletal Disorders. 20(1). 572–572. 33 indexed citations
10.
Yoshimoto, Takahiko, et al.. (2019). Factors associated with disabling low back pain among nursing personnel at a medical centre in Japan: a comparative cross-sectional survey. BMJ Open. 9(9). e032297–e032297. 11 indexed citations
11.
Minamide, Akihito, Hiroshi Hashizume, Hiroyuki Oka, et al.. (2019). <p>Prevalence of Facet Effusion and Its Relationship with Lumbar Spondylolisthesis and Low Back Pain: The Wakayama Spine Study</p>. Journal of Pain Research. Volume 12. 3521–3528. 13 indexed citations
12.
Fujii, Tomoko, et al.. (2018). The association between neck and shoulder discomfort–Katakori–and high somatizing tendency. Modern Rheumatology. 30(1). 191–196. 4 indexed citations
13.
Tsuji, Toshinaga, Ko Matsudaira, Hiroki Sato, Jeffrey Vietri, & Dena H. Jaffe. (2018). Association between presenteeism and health-related quality of life among Japanese adults with chronic lower back pain: a retrospective observational study. BMJ Open. 8(6). e021160–e021160. 27 indexed citations
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Matsudaira, Ko, et al.. (2016). Psychometric Properties of the Japanese Version of the STarT Back Tool in Patients with Low Back Pain. PLoS ONE. 11(3). e0152019–e0152019. 28 indexed citations
16.
Matsudaira, Ko, et al.. (2013). Review of the effects of acupuncture and moxibustion on lower back pain. Zen Nihon Shinkyu Gakkai zasshi (Journal of the Japan Society of Acupuncture and Moxibustion). 63(1). 2–16.
17.
Tonosu, Juichi, Katsushi Takeshita, Nobuhiro Hara, et al.. (2012). The normative score and the cut-off value of the Oswestry Disability Index (ODI). European Spine Journal. 21(8). 1596–1602. 124 indexed citations
18.
Fujii, Tomoko & Ko Matsudaira. (2012). Prevalence of low back pain and factors associated with chronic disabling back pain in Japan. European Spine Journal. 22(2). 432–438. 118 indexed citations
19.
Asawa, Yukiyo, Toru Ogasawara, Tsuguharu Takahashi, et al.. (2008). Aptitude of Auricular and Nasoseptal Chondrocytes Cultured Under a Monolayer or Three-Dimensional Condition for Cartilage Tissue Engineering. Tissue Engineering Part A. 15(5). 1109–1118. 38 indexed citations
20.
Matsudaira, Ko & Hiroshi Kawaguchi. (2005). [Drug management of low back pain].. PubMed. 15(3). 109–16. 1 indexed citations

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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