Nobuo Fukuda

301 total papers · 3.1k total citations
154 papers, 2.2k citations indexed

About

Nobuo Fukuda is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Nobuo Fukuda has authored 154 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cardiology and Cardiovascular Medicine, 51 papers in Radiology, Nuclear Medicine and Imaging and 45 papers in Molecular Biology. Recurrent topics in Nobuo Fukuda's work include Cardiovascular Function and Risk Factors (52 papers), Cardiac Valve Diseases and Treatments (23 papers) and Cardiac Imaging and Diagnostics (20 papers). Nobuo Fukuda is often cited by papers focused on Cardiovascular Function and Risk Factors (52 papers), Cardiac Valve Diseases and Treatments (23 papers) and Cardiac Imaging and Diagnostics (20 papers). Nobuo Fukuda collaborates with scholars based in Japan, United States and United Kingdom. Nobuo Fukuda's co-authors include Hisanori Shinohara, Tomotsugu Tabata, Hirotsugu Yamada, Arata Íuchi, Yoshiyuki Tamura, Takashi Oki, Susumu Ito, Takeshi Soeki, Koichi Sakabe and Tetsuzo Wakatsuki and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Nobuo Fukuda

147 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Nobuo Fukuda 1.2k 671 590 300 187 154 2.2k
Susumu Ito 1.0k 0.8× 535 0.8× 348 0.6× 283 0.9× 222 1.2× 91 2.1k
Denis B. Buxton 702 0.6× 1.1k 1.6× 696 1.2× 346 1.2× 183 1.0× 68 2.9k
Michael Becker 2.1k 1.8× 1.2k 1.8× 329 0.6× 458 1.5× 243 1.3× 91 2.9k
Wojciech T. Markiewicz 757 0.6× 231 0.3× 851 1.4× 262 0.9× 122 0.7× 105 2.2k
Wei‐Ting Chang 733 0.6× 170 0.3× 571 1.0× 321 1.1× 260 1.4× 154 1.9k
Richard L. Weinberg 449 0.4× 372 0.6× 991 1.7× 258 0.9× 195 1.0× 77 2.0k
Peter B. Herdson 495 0.4× 236 0.4× 364 0.6× 266 0.9× 212 1.1× 78 1.7k
Masaki Kawamura 414 0.3× 272 0.4× 463 0.8× 393 1.3× 283 1.5× 113 2.0k
D. L. Heene 673 0.6× 192 0.3× 458 0.8× 539 1.8× 553 3.0× 134 2.5k
Philippe R. Franken 642 0.5× 1.3k 1.9× 198 0.3× 266 0.9× 222 1.2× 110 2.0k

Countries citing papers authored by Nobuo Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Fukuda

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