Tomoyuki Akashi

22 total papers · 557 total citations
18 papers, 446 citations indexed

About

Tomoyuki Akashi is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Tomoyuki Akashi has authored 18 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Tomoyuki Akashi's work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (7 papers). Tomoyuki Akashi is often cited by papers focused on Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers) and Diabetes Management and Research (7 papers). Tomoyuki Akashi collaborates with scholars based in Japan and United States. Tomoyuki Akashi's co-authors include Gordon C. Weir, Susan Bonner‐Weir, Shigeru Yatoh, Arun Sharma, Rikke Dodge, Abdulkadir Omer, Hitoshi Katsuta, Cristina Aguayo‐Mazzucato, Akari Inada and Jennifer Hollister‐Lock and has published in prestigious journals such as Diabetes, FEBS Letters and Endocrinology.

In The Last Decade

Tomoyuki Akashi

17 papers receiving 438 citations

Author Peers

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

Author Last Decade Papers Cites
Tomoyuki Akashi 275 261 175 118 118 18 446
R. Michael Williams 254 0.9× 293 1.1× 181 1.0× 90 0.8× 116 1.0× 21 484
Osamu Funae 230 0.8× 237 0.9× 240 1.4× 59 0.5× 84 0.7× 19 474
Toshikatsu Shigihara 229 0.8× 160 0.6× 228 1.3× 80 0.7× 93 0.8× 20 427
Sabine Bieg 197 0.7× 277 1.1× 122 0.7× 93 0.8× 171 1.4× 14 453
Maja Wållberg 134 0.5× 195 0.7× 84 0.5× 86 0.7× 182 1.5× 18 403
Hiroko Fujino-Kurihara 236 0.9× 323 1.2× 178 1.0× 35 0.3× 158 1.3× 11 423
Guan-Qi Gao 94 0.3× 134 0.5× 215 1.2× 159 1.3× 84 0.7× 26 445
Maria Inês Alvelos 177 0.6× 186 0.7× 108 0.6× 211 1.8× 61 0.5× 19 471
Sofie De Groef 313 1.1× 206 0.8× 149 0.9× 138 1.2× 30 0.3× 20 405
Joana Oliveira 177 0.6× 106 0.4× 67 0.4× 106 0.9× 56 0.5× 18 412

Countries citing papers authored by Tomoyuki Akashi

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyuki Akashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Akashi

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