Masataka Kudo

125 papers and 4.7k indexed citations i.

About

Masataka Kudo is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Masataka Kudo has authored 125 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 36 papers in Endocrinology, Diabetes and Metabolism and 31 papers in Surgery. Recurrent topics in Masataka Kudo’s work include Hormonal Regulation and Hypertension (26 papers), Adrenal and Paraganglionic Tumors (18 papers) and Endometrial and Cervical Cancer Treatments (12 papers). Masataka Kudo is often cited by papers focused on Hormonal Regulation and Hypertension (26 papers), Adrenal and Paraganglionic Tumors (18 papers) and Endometrial and Cervical Cancer Treatments (12 papers). Masataka Kudo collaborates with scholars based in Japan, United States and China. Masataka Kudo's co-authors include Aaron J.W. Hsueh, Koji Nakabayashi, Sheau Yu Hsu, Sadayoshi Ito, Noriaki Sakuragi, Jin Kumagai, Shinya Nishi, O. D. Sherwood, Akira Sugawara and Akira Uruno and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Masataka Kudo i

Fields of papers citing papers by Masataka Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masataka Kudo

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025