Yukiko Matsuoka

32 papers and 1.5k indexed citations i.

About

Yukiko Matsuoka is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Yukiko Matsuoka has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Immunology. Recurrent topics in Yukiko Matsuoka’s work include Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Yukiko Matsuoka is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Yukiko Matsuoka collaborates with scholars based in Japan, United States and Germany. Yukiko Matsuoka's co-authors include Hiroaki Kitano, Samik Ghosh, Yoshihiro Kawaoka, Jason E. Shoemaker, Tiago J. S. Lopes, Manabu Kuroki, Tokiko Watanabe, Ayako Yachie‐Kinoshita, Sho Tachino and Takayuki Kimura and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Yukiko Matsuoka i

Fields of papers citing papers by Yukiko Matsuoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yukiko Matsuoka

Since Specialization
Citations

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

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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