Akira Sata

32 total papers · 554 total citations
18 papers, 396 citations indexed

About

Akira Sata is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Akira Sata has authored 18 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Akira Sata's work include Growth Hormone and Insulin-like Growth Factors (9 papers), Pituitary Gland Disorders and Treatments (7 papers) and Adrenal and Paraganglionic Tumors (4 papers). Akira Sata is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (9 papers), Pituitary Gland Disorders and Treatments (7 papers) and Adrenal and Paraganglionic Tumors (4 papers). Akira Sata collaborates with scholars based in Japan, Australia and United States. Akira Sata's co-authors include Kazue Takano, Naomi Hizuka, Ken K. Y. Ho, Vita Birzniece, Yuko Murakami, Izumi Fukuda, Yukiko Ishikawa, Yumiko Okubo, Takakazu Kawamata and Tomokatsu Hori and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Neuroendocrinology and Reviews in Endocrine and Metabolic Disorders.

In The Last Decade

Akira Sata

16 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Akira Sata 252 93 84 71 70 18 396
Svetlana Zorić 228 0.9× 62 0.7× 70 0.8× 68 1.0× 75 1.1× 24 431
Mark Tripputi 136 0.5× 89 1.0× 95 1.1× 80 1.1× 47 0.7× 18 429
C. Körber 233 0.9× 122 1.3× 19 0.2× 85 1.2× 74 1.1× 19 415
K.E.W. Melvin 161 0.6× 66 0.7× 49 0.6× 88 1.2× 62 0.9× 11 365
Giovanna Aparecida Balarini Lima 269 1.1× 63 0.7× 29 0.3× 30 0.4× 97 1.4× 29 389
Rajeev Kasaliwal 289 1.1× 25 0.3× 62 0.7× 67 0.9× 170 2.4× 23 431
Yugo Kanai 102 0.4× 135 1.5× 59 0.7× 77 1.1× 45 0.6× 21 438
Donald A. Perry‐Keene 215 0.9× 44 0.5× 29 0.3× 62 0.9× 100 1.4× 17 394
Ji Young Joung 315 1.3× 40 0.4× 27 0.3× 51 0.7× 126 1.8× 23 425
A Gancel 191 0.8× 76 0.8× 37 0.4× 118 1.7× 157 2.2× 25 441

Countries citing papers authored by Akira Sata

Since Specialization
Citations

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

Fields of papers citing papers by Akira Sata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Sata

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Sata. A scholar is included among the top collaborators of Akira Sata 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 Akira Sata. Akira Sata 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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