Eiji Ueyama

14 total papers · 506 total citations
11 papers, 328 citations indexed

About

Eiji Ueyama is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Eiji Ueyama has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Eiji Ueyama's work include Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Management and Research (5 papers). Eiji Ueyama is often cited by papers focused on Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Management and Research (5 papers). Eiji Ueyama collaborates with scholars based in Japan. Eiji Ueyama's co-authors include Kenichi Kazuta, Atsunori Kashiwagi, Atsushi Utsuno, Emiko Senba, Yoshihiro Morikawa, Hideyuki Takahashi, Satoshi Yoshida, Takanori Shiga, Satoshi Yoshida and Hiroshi Ishikawa and has published in prestigious journals such as British Journal of Clinical Pharmacology, Diabetes Obesity and Metabolism and Journal of Neuroendocrinology.

In The Last Decade

Eiji Ueyama

10 papers receiving 327 citations

Author Peers

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

Author Last Decade Papers Cites
Eiji Ueyama 252 163 77 51 45 11 328
Tiziano Scalvini 144 0.6× 160 1.0× 66 0.9× 14 0.3× 32 0.7× 18 334
Andreas Vosseler 206 0.8× 78 0.5× 110 1.4× 26 0.5× 33 0.7× 12 319
Charlotte C. van Ruiten 220 0.9× 94 0.6× 82 1.1× 59 1.2× 28 0.6× 9 273
Masahiko Miyagi 242 1.0× 99 0.6× 87 1.1× 30 0.6× 16 0.4× 15 318
Hidenori Ishida 147 0.6× 44 0.3× 51 0.7× 22 0.4× 32 0.7× 19 338
Chin Meng Khoo 170 0.7× 105 0.6× 58 0.8× 18 0.4× 23 0.5× 20 356
Rosa Falcón 134 0.5× 119 0.7× 78 1.0× 19 0.4× 11 0.2× 13 345
Isaac Sinay 261 1.0× 61 0.4× 64 0.8× 19 0.4× 20 0.4× 15 319
Koichi Kisanuki 189 0.8× 94 0.6× 81 1.1× 49 1.0× 9 0.2× 11 326
Deon Doree 208 0.8× 121 0.7× 171 2.2× 53 1.0× 22 0.5× 11 313

Countries citing papers authored by Eiji Ueyama

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Ueyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Ueyama

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