Akira Sasaki

57 papers and 392 indexed citations i.

About

Akira Sasaki is a scholar working on Molecular Biology, Surgery and Artificial Intelligence. According to data from OpenAlex, Akira Sasaki has authored 57 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Surgery and 4 papers in Artificial Intelligence. Recurrent topics in Akira Sasaki’s work include Topic Modeling (4 papers), CRISPR and Genetic Engineering (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Akira Sasaki is often cited by papers focused on Topic Modeling (4 papers), CRISPR and Genetic Engineering (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Akira Sasaki collaborates with scholars based in Japan, Austria and United States. Akira Sasaki's co-authors include Yoshihiro Haraguchi, Jun Nakabayashi, Makoto Yamasaki, Motoyoshi Oda, Edward C. Theriot, Naoaki Okazaki, Elizabeth C. Ruck, Richard W. Jordan, Y. Arai and Mike Ashworth and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and FEBS Letters.

In The Last Decade

Co-authorship network of co-authors of Akira Sasaki i

Fields of papers citing papers by Akira Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akira Sasaki

Since Specialization
Citations

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