Tadashi Arao

48 total papers · 732 total citations
36 papers, 512 citations indexed

About

Tadashi Arao is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Tadashi Arao has authored 36 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 9 papers in Genetics. Recurrent topics in Tadashi Arao's work include Diabetes Treatment and Management (6 papers), Diabetes Management and Research (6 papers) and Diabetes and associated disorders (6 papers). Tadashi Arao is often cited by papers focused on Diabetes Treatment and Management (6 papers), Diabetes Management and Research (6 papers) and Diabetes and associated disorders (6 papers). Tadashi Arao collaborates with scholars based in Japan and United States. Tadashi Arao's co-authors include Yosuke Okada, Yoshiya Tanaka, Hiroko Mori, Akira Kurozumi, Keiichi Torimoto, Manabu Narisawa, Kenichi Tanaka, Keiko Nishida, Maiko Hajime and Emiko Morita and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Journal of Endocrinology.

In The Last Decade

Tadashi Arao

34 papers receiving 501 citations

Author Peers

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

Author Last Decade Papers Cites
Tadashi Arao 298 134 97 63 62 36 512
Zeyad T. Sahli 181 0.6× 222 1.7× 88 0.9× 47 0.7× 59 1.0× 28 607
Tomoyuki Katsuno 355 1.2× 136 1.0× 155 1.6× 60 1.0× 26 0.4× 40 553
Jung Hwa Jung 286 1.0× 125 0.9× 132 1.4× 53 0.8× 63 1.0× 54 619
Tina Kienitz 329 1.1× 106 0.8× 122 1.3× 77 1.2× 25 0.4× 35 545
Yukari Mimura 230 0.8× 83 0.6× 205 2.1× 67 1.1× 42 0.7× 41 608
Chu Lin 192 0.6× 99 0.7× 131 1.4× 39 0.6× 87 1.4× 53 496
P. Garrido 133 0.4× 123 0.9× 157 1.6× 37 0.6× 88 1.4× 32 586
S-L Wang 180 0.6× 95 0.7× 96 1.0× 69 1.1× 31 0.5× 26 512
Yoo Mee Kim 124 0.4× 145 1.1× 124 1.3× 69 1.1× 60 1.0× 26 512
Lars Sundblad 177 0.6× 126 0.9× 158 1.6× 105 1.7× 57 0.9× 48 557

Countries citing papers authored by Tadashi Arao

Since Specialization
Citations

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

Fields of papers citing papers by Tadashi Arao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadashi Arao

This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Arao. A scholar is included among the top collaborators of Tadashi Arao 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 Tadashi Arao. Tadashi Arao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026