Shiro Fukuda
- Molecular Biology
- Epidemiology top 10%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Co-authors
- Iichiro ShimomuraNorikazu MaedaShunbun KitaHitoshi NishizawaYuya FujishimaTohru FunahashiHirofumi NagaoYoshinari Obata
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (13 papers)Cardiovascular Disease and Adiposity (7 papers)Adipose Tissue and Metabolism (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Shiro Fukuda
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 425
- Epidemiology 339
- Physiology 284
- Cardiology and Cardiovascular Medicine 194
- Surgery 139
Countries citing papers authored by Shiro Fukuda
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 49 | |
| 11 | 20 | |
| 12 | 11 | |
| 13 | 127 | |
| 14 | 74 | |
| 15 | 62 | |
| 16 | 42 | |
| 17 | 22 | |
| 18 | 32 | |
| 19 | 4D ultrasound quantification of LV function and valvular pathology | 1 |
| 20 | 2 |
About Shiro Fukuda
Shiro Fukuda is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Cardiovascular Disease and Adiposity (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Physiology (284 citations), Epidemiology (339 citations) and Cardiology and Cardiovascular Medicine (194 citations). Shiro Fukuda has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Iichiro Shimomura, Norikazu Maeda, Shunbun Kita, Hitoshi Nishizawa, Yuya Fujishima, Tohru Funahashi, Hirofumi Nagao, Yoshinari Obata, Yoshimitsu Tanaka and Shigeki Masuda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.