Reiji Teramoto

About

Reiji Teramoto is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Reiji Teramoto has authored 19 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Reiji Teramoto’s work include Computational Drug Discovery Methods (7 papers), Gene expression and cancer classification (3 papers) and Protein Structure and Dynamics (3 papers). Reiji Teramoto is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Gene expression and cancer classification (3 papers) and Protein Structure and Dynamics (3 papers). Reiji Teramoto collaborates with scholars based in Japan and Sweden. Reiji Teramoto's co-authors include Hiroaki Fukunishi, Tōru Kimura, Masaharu Kanaoka, Mikio Aoki, Manabu Wada, Kenji Yoshida, Hiroyuki Tsunoda, Hirotaka Minagawa, Yo Tabuse and Shuichi Kaneko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Reiji Teramoto i

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Fields of papers citing papers by Reiji Teramoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Reiji Teramoto

Since Specialization

Citations

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