Jun Kato

54 papers and 875 indexed citations i.

About

Jun Kato is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Jun Kato has authored 54 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Mathematical Physics. Recurrent topics in Jun Kato’s work include Advanced Mathematical Physics Problems (8 papers), Mathematical Modeling of Fluid Dynamics (4 papers) and Mathematical Analysis and Transform Methods (4 papers). Jun Kato is often cited by papers focused on Advanced Mathematical Physics Problems (8 papers), Mathematical Modeling of Fluid Dynamics (4 papers) and Mathematical Analysis and Transform Methods (4 papers). Jun Kato collaborates with scholars based in Japan, United States and Germany. Jun Kato's co-authors include Fabio Pusateri, Tohru Ozawa, A. Raymond Frackelton, Julie Beitz, Yoko Fujita‐Yamaguchi, Peter A. Calabresi, J. W. Clark, Masahide Yamamoto, Noboru Sato and Shigeru Tanaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Jun Kato i

Fields of papers citing papers by Jun Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Kato

Since Specialization
Citations

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