Yumi Matsuda

16 total papers · 869 total citations
15 papers, 701 citations indexed

About

Yumi Matsuda is a scholar working on Periodontics, Molecular Biology and Genetics. According to data from OpenAlex, Yumi Matsuda has authored 15 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Periodontics, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Yumi Matsuda's work include Oral microbiology and periodontitis research (7 papers), Antimicrobial Peptides and Activities (3 papers) and Immune Response and Inflammation (2 papers). Yumi Matsuda is often cited by papers focused on Oral microbiology and periodontitis research (7 papers), Antimicrobial Peptides and Activities (3 papers) and Immune Response and Inflammation (2 papers). Yumi Matsuda collaborates with scholars based in Japan, United States and France. Yumi Matsuda's co-authors include Kazuhisa Yamazaki, Naoki Takahashi, Hiroshi Ohno, Tamotsu Kato, Mayuka Nakajima, Kei Arimatsu, Keisuke Sato, Miki Yamada, Takako Eguchi Nakajima and Naoto Endo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Periodontology.

In The Last Decade

Yumi Matsuda

15 papers receiving 691 citations

Author Peers

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

Author Last Decade Papers Cites
Yumi Matsuda 382 305 160 77 64 15 701
Kei Arimatsu 507 1.3× 356 1.2× 184 1.1× 118 1.5× 62 1.0× 8 811
Jana Dušková 524 1.4× 155 0.5× 125 0.8× 62 0.8× 101 1.6× 30 831
Tatjana Janatova 496 1.3× 168 0.6× 116 0.7× 69 0.9× 78 1.2× 19 744
Tiansong Xu 344 0.9× 271 0.9× 149 0.9× 42 0.5× 40 0.6× 13 664
Pascale Loubières 341 0.9× 227 0.7× 162 1.0× 57 0.7× 45 0.7× 17 629
Anita M. Tuomainen 333 0.9× 158 0.5× 115 0.7× 155 2.0× 147 2.3× 21 857
Jaroslav Myšák 451 1.2× 158 0.5× 86 0.5× 59 0.8× 70 1.1× 7 642
Elisabetta Pisano 278 0.7× 214 0.7× 323 2.0× 52 0.7× 39 0.6× 18 639
Jakob Wirbel 164 0.4× 555 1.8× 123 0.8× 68 0.9× 22 0.3× 18 777
Qingde Zhou 322 0.8× 224 0.7× 125 0.8× 148 1.9× 299 4.7× 19 902

Countries citing papers authored by Yumi Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Yumi Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumi Matsuda

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