Yuko Matsuda

93 total papers · 1.4k total citations
48 papers, 1.1k citations indexed

About

Yuko Matsuda is a scholar working on Rheumatology, Clinical Psychology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yuko Matsuda has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 7 papers in Clinical Psychology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yuko Matsuda's work include Rheumatoid Arthritis Research and Therapies (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Airway Management and Intubation Techniques (3 papers). Yuko Matsuda is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Airway Management and Intubation Techniques (3 papers). Yuko Matsuda collaborates with scholars based in Japan, United States and Czechia. Yuko Matsuda's co-authors include Hisashi Yamanaka, Naoyuki Kamatani, Atsuo Taniguchi, Wako Urano, Eiichi Tanaka, Hiroshi Nakajima, Masako Hara, Yutaka Kitamura, Hideto Akama and Terunobu Saito and has published in prestigious journals such as Body Image, Journal of Biomaterials Science Polymer Edition and Journal of Psychopathology and Behavioral Assessment.

In The Last Decade

Yuko Matsuda

41 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Yuko Matsuda 625 182 160 158 135 48 1.1k
Daniel B. Magilavy 443 0.7× 288 1.6× 175 1.1× 87 0.6× 324 2.4× 37 1.4k
Deborah McCurdy 636 1.0× 324 1.8× 259 1.6× 62 0.4× 303 2.2× 49 1.4k
F. Guillemin 519 0.8× 209 1.1× 145 0.9× 157 1.0× 50 0.4× 50 1.2k
Girish M. Mody 558 0.9× 196 1.1× 161 1.0× 64 0.4× 91 0.7× 53 1.1k
B. A. C. Dijkmans 734 1.2× 268 1.5× 77 0.5× 82 0.5× 107 0.8× 37 1.2k
Miguel Ángel Saavedra 645 1.0× 99 0.5× 139 0.9× 271 1.7× 117 0.9× 85 1.3k
S.M. Berney 463 0.7× 155 0.9× 113 0.7× 151 1.0× 140 1.0× 69 1.3k
Folke D. Lindström 299 0.5× 266 1.5× 135 0.8× 61 0.4× 235 1.7× 55 1.5k
Robert J. Coughlan 463 0.7× 177 1.0× 143 0.9× 62 0.4× 180 1.3× 53 1.2k
Gary Wright 467 0.7× 96 0.5× 303 1.9× 58 0.4× 169 1.3× 64 1.2k

Countries citing papers authored by Yuko Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Matsuda

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