Sachi Kato

25 papers and 430 indexed citations i.

About

Sachi Kato is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Sachi Kato has authored 25 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Surgery. Recurrent topics in Sachi Kato’s work include Pancreatic Islet Dysfunction and Regeneration (6 papers), Topic Modeling (6 papers) and Pluripotent Stem Cells Research (6 papers). Sachi Kato is often cited by papers focused on Pancreatic Islet Dysfunction and Regeneration (6 papers), Topic Modeling (6 papers) and Pluripotent Stem Cells Research (6 papers). Sachi Kato collaborates with scholars based in Japan, France and United States. Sachi Kato's co-authors include Piero Carninci, Charles Plessy, Mitsuyoshi Murata, Hazuki Takahashi, Stéphane Poulain, Seiji Shioda, Haruaki Kageyama, Fumiko Takenoya, Yukari Date and Masamitsu Nakazato and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Genome Research.

In The Last Decade

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

Fields of papers citing papers by Sachi Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sachi Kato

Since Specialization
Citations

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