Udai Nakamura

71 total papers · 2.3k total citations
56 papers, 1.5k citations indexed

About

Udai Nakamura is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, Udai Nakamura has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Surgery and 15 papers in Physiology. Recurrent topics in Udai Nakamura's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diet and metabolism studies (8 papers) and Bone health and osteoporosis research (6 papers). Udai Nakamura is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diet and metabolism studies (8 papers) and Bone health and osteoporosis research (6 papers). Udai Nakamura collaborates with scholars based in Japan, Australia and United States. Udai Nakamura's co-authors include Takanari Kitazono, Masanori Iwase, Toshiaki Ohkuma, Hitoshi Ide, Hiroki Fujii, Yoichiro Hirakawa, Yasuhiro Idewaki, Yohei Kikuchi, Toshiharu Ninomiya and Yutaka Kiyohara and has published in prestigious journals such as PLoS ONE, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Udai Nakamura

55 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Udai Nakamura 530 360 300 284 227 56 1.5k
Toshiaki Ohkuma 1.1k 2.0× 350 1.0× 391 1.3× 308 1.1× 321 1.4× 62 2.1k
Ticiana da Costa Rodrigues 541 1.0× 283 0.8× 330 1.1× 98 0.3× 293 1.3× 90 1.7k
Ji Hee Yu 530 1.0× 501 1.4× 210 0.7× 169 0.6× 166 0.7× 87 1.9k
Emer M. Brady 513 1.0× 550 1.5× 164 0.5× 233 0.8× 235 1.0× 82 1.5k
Jin‐Shang Wu 585 1.1× 324 0.9× 404 1.3× 229 0.8× 567 2.5× 66 2.3k
Angela Galler 764 1.4× 167 0.5× 364 1.2× 230 0.8× 101 0.4× 70 1.6k
Ninad S. Chaudhary 248 0.5× 230 0.6× 98 0.3× 246 0.9× 157 0.7× 35 1.3k
Raoul Rooman 589 1.1× 431 1.2× 292 1.0× 163 0.6× 271 1.2× 57 1.7k
Ye Yang 321 0.6× 220 0.6× 283 0.9× 249 0.9× 151 0.7× 81 1.5k
David Pittrow 342 0.6× 206 0.6× 152 0.5× 374 1.3× 599 2.6× 52 1.6k

Countries citing papers authored by Udai Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Udai Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udai Nakamura

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