Shiro Fukuda

85 total papers · 4.6k total citations
57 papers, 1.1k citations indexed

About

Shiro Fukuda is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shiro Fukuda has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Epidemiology and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shiro Fukuda's work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Cardiovascular Disease and Adiposity (7 papers) and Adipose Tissue and Metabolism (7 papers). Shiro Fukuda is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (13 papers), Cardiovascular Disease and Adiposity (7 papers) and Adipose Tissue and Metabolism (7 papers). Shiro Fukuda collaborates with scholars based in Japan, United States and Russia. Shiro Fukuda's co-authors include Iichiro Shimomura, Norikazu Maeda, Shunbun Kita, Hitoshi Nishizawa, Yuya Fujishima, Tohru Funahashi, Yoshinari Obata, Hirofumi Nagao, Yoshimitsu Tanaka and Shigeki Masuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Shiro Fukuda

52 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Shiro Fukuda 421 330 282 193 137 57 1.1k
Yuya Fujishima 439 1.0× 406 1.2× 335 1.2× 240 1.2× 170 1.2× 49 1.2k
Jung Hye Kim 457 1.1× 269 0.8× 289 1.0× 188 1.0× 159 1.2× 37 1.3k
Guangda Xiang 428 1.0× 220 0.7× 366 1.3× 125 0.6× 129 0.9× 47 1.1k
Zdeňka Vernerová 360 0.9× 422 1.3× 246 0.9× 287 1.5× 134 1.0× 56 1.4k
Hongjun Liu 339 0.8× 296 0.9× 206 0.7× 193 1.0× 279 2.0× 89 1.4k
Yuichi Akasaki 676 1.6× 307 0.9× 458 1.6× 240 1.2× 193 1.4× 42 1.4k
Johan Sällström 431 1.0× 148 0.4× 169 0.6× 158 0.8× 203 1.5× 52 1.2k
Peter F. Bodary 196 0.5× 450 1.4× 453 1.6× 287 1.5× 130 0.9× 44 1.3k
Michael Morcos 239 0.6× 243 0.7× 213 0.8× 143 0.7× 135 1.0× 43 996
Zhelong Liu 398 0.9× 125 0.4× 388 1.4× 185 1.0× 105 0.8× 45 1.1k

Countries citing papers authored by Shiro Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Shiro Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiro Fukuda

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