Shiori Sato

55 total papers · 1.9k total citations
29 papers, 1.3k citations indexed

About

Shiori Sato is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Shiori Sato has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Shiori Sato's work include Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Pituitary Gland Disorders and Treatments (3 papers). Shiori Sato is often cited by papers focused on Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Pituitary Gland Disorders and Treatments (3 papers). Shiori Sato collaborates with scholars based in Japan, United States and Thailand. Shiori Sato's co-authors include Kumiko Jitsukawa, Hirofumi Sueki, Toshihisa Anzai, Koji Mukasa, Koichi Ito, Yo Kunii, Masako Matsumoto, Ai Yoshihara, Natsuko Watanabe and Yuka Kosuga and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and The Journal of Urology.

In The Last Decade

Shiori Sato

26 papers receiving 1.2k citations

Hit Papers

An Electron Microscopic S... 1987 2026 2000 2013 1987 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shiori Sato 337 297 170 139 118 29 1.3k
S. Goldstein 469 1.4× 232 0.8× 235 1.4× 195 1.4× 83 0.7× 28 1.3k
Margaret A. Smith 452 1.3× 135 0.5× 134 0.8× 104 0.7× 121 1.0× 43 1.5k
Frederick B. Merk 522 1.5× 180 0.6× 182 1.1× 100 0.7× 98 0.8× 24 1.2k
O. A. Trowell 517 1.5× 88 0.3× 194 1.1× 83 0.6× 103 0.9× 26 1.7k
Hesarghatta Shyamasunder Asha 464 1.4× 184 0.6× 185 1.1× 154 1.1× 39 0.3× 49 1.1k
William W. Wilfinger 604 1.8× 273 0.9× 108 0.6× 71 0.5× 87 0.7× 26 1.5k
Eugene J. Wenk 206 0.6× 165 0.6× 148 0.9× 50 0.4× 53 0.4× 52 1.2k
Michael H. Ross 545 1.6× 121 0.4× 283 1.7× 135 1.0× 219 1.9× 40 1.8k
R. Penning 141 0.4× 163 0.5× 254 1.5× 73 0.5× 130 1.1× 63 1.5k
Barbara J. Tennent 372 1.1× 211 0.7× 130 0.8× 71 0.5× 116 1.0× 20 1.7k

Countries citing papers authored by Shiori Sato

Since Specialization
Citations

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

Fields of papers citing papers by Shiori Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiori Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Shiori Sato. A scholar is included among the top collaborators of Shiori Sato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shiori Sato. Shiori Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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