Daisuke Yuasa
Impact in
-
- Cardiovascular Disease and Adiposity
- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
- Epidemiology 14
- Adipokines, Inflammation, and Metabolic Diseases 14
-
- Inflammasome and immune disorders 3
- Kruppel-like factors research 2
- Co-authors
- Toyoaki Murohara (22 shared papers)Rei Shibata (22 shared papers)Noriyuki Ouchi (22 shared papers)Koji Ohashi (22 shared papers)Takahiro Kambara (20 shared papers)Kazuhiro Matsuo (17 shared papers)Yusuke Uemura (17 shared papers)Takashi Enomoto (15 shared papers)
- Journals
- Cardiovascular Research (3 papers)The FASEB Journal (3 papers)Circulation (2 papers)Journal of Biological Chemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Daisuke Yuasa
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 558
- Physiology 503
- Epidemiology 634
- Endocrine and Autonomic Systems 54
- Molecular Biology 526
Countries citing papers authored by Daisuke Yuasa
This map shows the geographic impact of Daisuke Yuasa'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 Daisuke Yuasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Yuasa more than expected).
Fields of papers citing papers by Daisuke Yuasa
This network shows the impact of papers produced by Daisuke Yuasa. 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 Daisuke Yuasa. The network helps show where Daisuke Yuasa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Yuasa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 152 | |
| 2 | 2012 | 150 | |
| 3 | 2012 | 144 | |
| 4 | 2012 | 103 | |
| 5 | 2015 | 89 | |
| 6 | 2015 | 89 | |
| 7 | 2015 | 78 | |
| 8 | 2014 | 71 | |
| 9 | 2015 | 71 | |
| 10 | 2014 | 56 | |
| 11 | 2014 | 49 | |
| 12 | 2014 | 47 | |
| 13 | 2014 | 42 | |
| 14 | 2013 | 41 | |
| 15 | 2014 | 38 | |
| 16 | 2013 | 37 | |
| 17 | 2017 | 37 | |
| 18 | 2019 | 35 | |
| 19 | 2015 | 30 | |
| 20 | 2012 | 30 |
About Daisuke Yuasa
Daisuke Yuasa is a scholar working on Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (7 papers), Cardiovascular Disease and Adiposity (6 papers), Inflammasome and immune disorders (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Kruppel-like factors research (2 papers), Nerve injury and regeneration (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (558 citations), Physiology (503 citations), Epidemiology (634 citations), Endocrine and Autonomic Systems (54 citations) and Molecular Biology (526 citations). Daisuke Yuasa has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Toyoaki Murohara, Rei Shibata, Noriyuki Ouchi, Koji Ohashi, Takahiro Kambara, Kazuhiro Matsuo, Yusuke Uemura, Takashi Enomoto, Yoshiyuki Kataoka and Satoko Hayakawa. Their work appears in journals such as Cardiovascular Research, The FASEB Journal, Circulation, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.