Nobu Kudomi

8 total papers · 565 total citations
6 papers, 457 citations indexed

About

Nobu Kudomi is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Nobu Kudomi has authored 6 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Epidemiology. Recurrent topics in Nobu Kudomi's work include Diet and metabolism studies (3 papers), Adipose Tissue and Metabolism (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Nobu Kudomi is often cited by papers focused on Diet and metabolism studies (3 papers), Adipose Tissue and Metabolism (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Nobu Kudomi collaborates with scholars based in Japan, Finland and Italy. Nobu Kudomi's co-authors include Pirjo Nuutila, Teemu Saari, Mueez U-Din, Juho Raiko, Kirsi A. Virtanen, Riitta Parkkola, Vesa Oikonen, Tuula Tolvanen, Olof Solin and Jarmo Teuho and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cell Metabolism and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Nobu Kudomi

6 papers receiving 454 citations

Author Peers

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

Author Last Decade Papers Cites
Nobu Kudomi 356 115 114 112 95 6 457
Margaret Kunach 465 1.3× 143 1.2× 131 1.1× 172 1.5× 106 1.1× 6 490
Zachary Johnson 296 0.8× 69 0.6× 144 1.3× 77 0.7× 62 0.7× 9 429
Hasiyet Memetimin 319 0.9× 84 0.7× 160 1.4× 81 0.7× 61 0.6× 14 452
Wolfgang Hofmann 263 0.7× 115 1.0× 61 0.5× 51 0.5× 92 1.0× 8 417
Miroslav Srbecký 330 0.9× 32 0.3× 113 1.0× 100 0.9× 77 0.8× 7 451
Suzanne McGehee 391 1.1× 125 1.1× 146 1.3× 99 0.9× 73 0.8× 6 443
Tao Hu 313 0.9× 102 0.9× 150 1.3× 50 0.4× 30 0.3× 7 486
M Vician 373 1.0× 45 0.4× 134 1.2× 101 0.9× 82 0.9× 6 466
Raziel Rojas-Rodriguez 286 0.8× 95 0.8× 184 1.6× 57 0.5× 24 0.3× 9 406
Qidi Wang 222 0.6× 75 0.7× 132 1.2× 45 0.4× 52 0.5× 16 538

Countries citing papers authored by Nobu Kudomi

Since Specialization
Citations

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

Fields of papers citing papers by Nobu Kudomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobu Kudomi

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