Koji Tsuda

177 papers and 7.1k indexed citations i.

About

Koji Tsuda is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Koji Tsuda has authored 177 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 57 papers in Materials Chemistry and 47 papers in Computational Theory and Mathematics. Recurrent topics in Koji Tsuda’s work include Machine Learning in Materials Science (53 papers), Computational Drug Discovery Methods (40 papers) and Gene expression and cancer classification (16 papers). Koji Tsuda is often cited by papers focused on Machine Learning in Materials Science (53 papers), Computational Drug Discovery Methods (40 papers) and Gene expression and cancer classification (16 papers). Koji Tsuda collaborates with scholars based in Japan, Germany and United States. Koji Tsuda's co-authors include Bernhard Schölkopf, Gunnar Rätsch, Mika Sirén, K. Müller, Kei Terayama, Isao Tanaka, Atsuto Seko, Hisashi Kashima, Ryo Tamura and Akihiro Inokuchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Koji Tsuda i

Fields of papers citing papers by Koji Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Koji Tsuda

Since Specialization
Citations

This map shows the geographic impact of Koji Tsuda'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 Koji Tsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Tsuda 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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2025