Nobuaki Yasuo

26 papers and 380 indexed citations i.

About

Nobuaki Yasuo is a scholar working on Computational Theory and Mathematics, Molecular Biology and Epidemiology. According to data from OpenAlex, Nobuaki Yasuo has authored 26 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 12 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Nobuaki Yasuo’s work include Computational Drug Discovery Methods (13 papers), Machine Learning in Materials Science (6 papers) and Protein Structure and Dynamics (4 papers). Nobuaki Yasuo is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Machine Learning in Materials Science (6 papers) and Protein Structure and Dynamics (4 papers). Nobuaki Yasuo collaborates with scholars based in Japan, United States and India. Nobuaki Yasuo's co-authors include Masakazu Sekijima, Ryunosuke Yoshino, Jinhua She, Daiki Sato, Masahito Ohue, Takashi Ishida, Kazuki Yamamoto, Kazuki Ohno, Masaya Orita and Kiyoshi Kita and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biophysical Journal.

In The Last Decade

Co-authorship network of co-authors of Nobuaki Yasuo i

Fields of papers citing papers by Nobuaki Yasuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nobuaki Yasuo

Since Specialization
Citations

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