Yu Matsuoka

24 total papers · 498 total citations
21 papers, 391 citations indexed

About

Yu Matsuoka is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Yu Matsuoka has authored 21 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Yu Matsuoka's work include Microbial Metabolic Engineering and Bioproduction (18 papers), Gene Regulatory Network Analysis (11 papers) and Bacterial Genetics and Biotechnology (6 papers). Yu Matsuoka is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (18 papers), Gene Regulatory Network Analysis (11 papers) and Bacterial Genetics and Biotechnology (6 papers). Yu Matsuoka collaborates with scholars based in Japan. Yu Matsuoka's co-authors include Kazuyuki Shimizu, Hiroyuki Kurata, Kazuhiro Maeda, Takuya Kinoshita, Takashi Nakagawa, Takao A. Yamamoto, Satoshi Seino, Takao Kodama, Tetsuyoshi Inoue and Kazuhiro Fukui and has published in prestigious journals such as Biotechnology Advances, Journal of Magnetism and Magnetic Materials and FEBS Journal.

In The Last Decade

Yu Matsuoka

21 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Yu Matsuoka 296 79 56 41 30 21 391
R. W. J. Hommes 302 1.0× 119 1.5× 42 0.8× 30 0.7× 44 1.5× 14 375
A. Atkinson 252 0.9× 36 0.5× 36 0.6× 56 1.4× 41 1.4× 15 370
Kil Koang Kwon 291 1.0× 116 1.5× 30 0.5× 26 0.6× 33 1.1× 33 356
Alexander S. Reshetnikov 289 1.0× 58 0.7× 35 0.6× 76 1.9× 26 0.9× 15 358
Chengchuan Che 242 0.8× 103 1.3× 45 0.8× 46 1.1× 30 1.0× 27 421
Nina Jagmann 319 1.1× 85 1.1× 44 0.8× 21 0.5× 23 0.8× 15 434
Bijan Bambai 206 0.7× 40 0.5× 71 1.3× 23 0.6× 53 1.8× 34 420
S. L. Rosenberg 202 0.7× 121 1.5× 57 1.0× 31 0.8× 46 1.5× 12 379
Elvira Sgobba 385 1.3× 173 2.2× 38 0.7× 47 1.1× 33 1.1× 9 442
Jason T. Boock 332 1.1× 99 1.3× 50 0.9× 29 0.7× 26 0.9× 18 419

Countries citing papers authored by Yu Matsuoka

Since Specialization
Citations

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

Fields of papers citing papers by Yu Matsuoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Matsuoka

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