Dai Shimono

25 total papers · 727 total citations
17 papers, 521 citations indexed

About

Dai Shimono is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Dai Shimono has authored 17 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Molecular Biology. Recurrent topics in Dai Shimono's work include Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Treatment and Management (5 papers). Dai Shimono is often cited by papers focused on Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Treatment and Management (5 papers). Dai Shimono collaborates with scholars based in Japan and Russia. Dai Shimono's co-authors include Hiroyuki Koshiyama, Naomitsu Kuwamura, Yoshio Nakamura, J Minamikawa, Yuichiro Yamada, Koichiro Nabe, Yutaka Seino, Shimpei Fujimoto, Eri Mukai and Yo Aramaki and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Dai Shimono

17 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
Dai Shimono 287 244 171 90 84 17 521
Kyoko Nitta 214 0.7× 244 1.0× 139 0.8× 52 0.6× 56 0.7× 14 585
Chenzhong Li 286 1.0× 174 0.7× 133 0.8× 51 0.6× 73 0.9× 20 604
Hyun Wha Chung 212 0.7× 227 0.9× 128 0.7× 78 0.9× 77 0.9× 13 573
Maria Elena Lunati 313 1.1× 154 0.6× 165 1.0× 51 0.6× 147 1.8× 25 616
M. Ciccarese 250 0.9× 106 0.4× 266 1.6× 116 1.3× 41 0.5× 16 590
Junna Yamaguchi 136 0.5× 212 0.9× 97 0.6× 43 0.5× 85 1.0× 16 618
M. C. Angelico 241 0.8× 72 0.3× 202 1.2× 94 1.0× 43 0.5× 13 559
Markus Bieringer 209 0.7× 183 0.8× 257 1.5× 212 2.4× 22 0.3× 17 604
Erin A. Booth 166 0.6× 119 0.5× 104 0.6× 144 1.6× 36 0.4× 16 616
F P Alford 340 1.2× 174 0.7× 139 0.8× 68 0.8× 84 1.0× 22 563

Countries citing papers authored by Dai Shimono

Since Specialization
Citations

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

Fields of papers citing papers by Dai Shimono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Shimono

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Shimono. A scholar is included among the top collaborators of Dai Shimono 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 Dai Shimono. Dai Shimono 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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2026