Gen Sato

20 papers and 437 indexed citations i.

About

Gen Sato is a scholar working on Computer Vision and Pattern Recognition, Physiology and Oncology. According to data from OpenAlex, Gen Sato has authored 20 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Physiology and 3 papers in Oncology. Recurrent topics in Gen Sato’s work include Neuroscience and Neuropharmacology Research (3 papers), Diet and metabolism studies (2 papers) and COVID-19 diagnosis using AI (2 papers). Gen Sato is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Diet and metabolism studies (2 papers) and COVID-19 diagnosis using AI (2 papers). Gen Sato collaborates with scholars based in Japan, United States and United Kingdom. Gen Sato's co-authors include Kyuya Kogure, Hiroshi Onodera, Takesi HUKUHARA, Kazuo Tsukidate, Satoru Hosokawa, Fumio Sagami, Naoki Kobayashi, Holger R. Roth, Masahiro Oda and Shoji Asakura and has published in prestigious journals such as Brain Research, Journal of Cerebral Blood Flow & Metabolism and Neuroscience Letters.

In The Last Decade

Co-authorship network of co-authors of Gen Sato i

Fields of papers citing papers by Gen Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gen Sato

Since Specialization
Citations

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