Yayoi Matsuda

71 total papers · 850 total citations
47 papers, 628 citations indexed

About

Yayoi Matsuda is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Yayoi Matsuda has authored 47 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Yayoi Matsuda's work include Adrenal and Paraganglionic Tumors (19 papers), Hormonal Regulation and Hypertension (14 papers) and Adrenal Hormones and Disorders (11 papers). Yayoi Matsuda is often cited by papers focused on Adrenal and Paraganglionic Tumors (19 papers), Hormonal Regulation and Hypertension (14 papers) and Adrenal Hormones and Disorders (11 papers). Yayoi Matsuda collaborates with scholars based in Japan, Türkiye and Australia. Yayoi Matsuda's co-authors include Ryuichi Sakamoto, Yoshihiro Ogawa, Masatoshi Ogata, Keizo Anzai, Hironobu Umakoshi, Maki Yokomoto‐Umakoshi, Iwata Ozaki, Masatoshi Nomura, Yuichiro Eguchi and Yoichiro Kitajima and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yayoi Matsuda

45 papers receiving 618 citations

Author Peers

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

Author Last Decade Papers Cites
Yayoi Matsuda 348 210 206 129 85 47 628
Hiraku Kameda 388 1.1× 198 0.9× 151 0.7× 156 1.2× 66 0.8× 68 619
Makoto Iijima 224 0.6× 249 1.2× 291 1.4× 98 0.8× 75 0.9× 57 603
Berta Soldevila 279 0.8× 103 0.5× 105 0.5× 107 0.8× 67 0.8× 44 580
F. Illouz 354 1.0× 148 0.7× 125 0.6× 85 0.7× 141 1.7× 41 613
J. N. Stiel 238 0.7× 130 0.6× 82 0.4× 83 0.6× 46 0.5× 32 685
Kenichiro Seki 156 0.4× 143 0.7× 307 1.5× 217 1.7× 187 2.2× 37 728
Lars Sundblad 177 0.5× 126 0.6× 105 0.5× 158 1.2× 57 0.7× 48 557
Ferdinando De Negri 250 0.7× 130 0.6× 114 0.6× 99 0.8× 99 1.2× 40 760
Ji‐Sup Yun 360 1.0× 425 2.0× 113 0.5× 43 0.3× 80 0.9× 32 741
Mitsuru Dohke 153 0.4× 296 1.4× 291 1.4× 34 0.3× 164 1.9× 34 580

Countries citing papers authored by Yayoi Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Yayoi Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayoi Matsuda

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