Jun Saito

121 papers and 2.5k indexed citations i.

About

Jun Saito is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Jun Saito has authored 121 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Endocrinology, Diabetes and Metabolism, 58 papers in Surgery and 19 papers in Molecular Biology. Recurrent topics in Jun Saito’s work include Hormonal Regulation and Hypertension (43 papers), Adrenal and Paraganglionic Tumors (40 papers) and Pituitary Gland Disorders and Treatments (14 papers). Jun Saito is often cited by papers focused on Hormonal Regulation and Hypertension (43 papers), Adrenal and Paraganglionic Tumors (40 papers) and Pituitary Gland Disorders and Treatments (14 papers). Jun Saito collaborates with scholars based in Japan, United States and Australia. Jun Saito's co-authors include Tetsuo Nishikawa, Masao Omura, Yukio Kakuta, Kunio Yamaguchi, Leonard D. Kohn, Koichi Suzuki, Atsumi Mori, Yoko Matsuzawa, Sachiko Suematsu and Kosuke Inoue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Jun Saito i

Fields of papers citing papers by Jun Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Saito

Since Specialization
Citations

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