Akahito Sako

72 total papers · 806 total citations
36 papers, 532 citations indexed

About

Akahito Sako is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, Akahito Sako has authored 36 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 6 papers in Physiology. Recurrent topics in Akahito Sako's work include Diabetes Treatment and Management (9 papers), Metabolism, Diabetes, and Cancer (5 papers) and Bipolar Disorder and Treatment (4 papers). Akahito Sako is often cited by papers focused on Diabetes Treatment and Management (9 papers), Metabolism, Diabetes, and Cancer (5 papers) and Bipolar Disorder and Treatment (4 papers). Akahito Sako collaborates with scholars based in Japan, United States and Germany. Akahito Sako's co-authors include Hidekatsu Yanai, Hisayuki Katsuyama, Hidetaka Hamasaki, Hiroki Adachi, Atsushi Goto, Yu Kawashima, Akiko Kawaguchi, Hideo Yasunaga, Mariko Hakoshima and Kiyohide Fushimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Akahito Sako

34 papers receiving 513 citations

Author Peers

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

Author Last Decade Papers Cites
Akahito Sako 190 167 103 88 84 36 532
Kenichiro Shide 180 0.9× 144 0.9× 92 0.9× 95 1.1× 99 1.2× 36 598
Moon Jong Kim 181 1.0× 136 0.8× 109 1.1× 52 0.6× 39 0.5× 27 546
Kyriakos Kazakos 223 1.2× 95 0.6× 101 1.0× 83 0.9× 62 0.7× 28 472
Kwang‐Min Kim 103 0.5× 101 0.6× 59 0.6× 86 1.0× 55 0.7× 40 537
Ming-May Lai 90 0.5× 116 0.7× 134 1.3× 59 0.7× 55 0.7× 15 488
Liyuan Zhou 94 0.5× 139 0.8× 58 0.6× 161 1.8× 58 0.7× 29 463
Mohammad J. Alkhatatbeh 94 0.5× 81 0.5× 103 1.0× 122 1.4× 38 0.5× 38 582
Somayyeh Asghari 110 0.6× 104 0.6× 190 1.8× 67 0.8× 29 0.3× 34 471
Frank-Leonel Tianyi 135 0.7× 95 0.6× 91 0.9× 55 0.6× 69 0.8× 35 526
Emel Torun 52 0.3× 128 0.8× 91 0.9× 94 1.1× 48 0.6× 41 593

Countries citing papers authored by Akahito Sako

Since Specialization
Citations

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

Fields of papers citing papers by Akahito Sako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akahito Sako

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