Daisuke Fujioka
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- Cardiovascular Health and Disease Prevention 24
- Cardiovascular Disease and Adiposity 9
- Acute Myocardial Infarction Research 8
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- Diabetes, Cardiovascular Risks, and Lipoproteins 8
- Surgery top 5%
- Coronary Interventions and Diagnostics 12
- Lipoproteins and Cardiovascular Health 8
- Immunology top 10%
- Cancer Research top 10%
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- Cerebrovascular and Carotid Artery Diseases 16
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- Cardiac Imaging and Diagnostics 15
- Co-authors
- Takamitsu NakamuraKiyotaka KugiyamaKen‐ichi KawabataYukio SaitōYoshinobu KittaTsuyoshi KobayashiJun–ei ObataYosuke Watanabe
- Journals
- Circulation (3 papers)The Journal of Immunology (2 papers)Journal of the American College of Cardiology (6 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Daisuke Fujioka
86 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 1.1k
- Endocrinology, Diabetes and Metabolism 357
- Surgery 723
- Immunology 339
- Cancer Research 238
Countries citing papers authored by Daisuke Fujioka
This map shows the geographic impact of Daisuke Fujioka'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 Fujioka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Fujioka more than expected).
Fields of papers citing papers by Daisuke Fujioka
This network shows the impact of papers produced by Daisuke Fujioka. 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 Fujioka. The network helps show where Daisuke Fujioka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke Fujioka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2020 | 7 | |
| 3 | 2017 | 0 | |
| 4 | 2017 | 6 | |
| 5 | 2016 | 11 | |
| 6 | 2016 | 24 | |
| 7 | 2015 | 2 | |
| 8 | 2014 | 13 | |
| 9 | 2014 | 33 | |
| 10 | 2013 | 31 | |
| 11 | 2013 | 18 | |
| 12 | 2012 | 28 | |
| 13 | 2011 | 65 | |
| 14 | 2010 | 13 | |
| 15 | 2008 | 1 | |
| 16 | 2007 | 49 | |
| 17 | 2006 | 9 | |
| 18 | 2005 | 65 | |
| 19 | 2005 | 72 | |
| 20 | 2003 | 22 |
About Daisuke Fujioka
Daisuke Fujioka is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (24 papers), Cerebrovascular and Carotid Artery Diseases (16 papers), Cardiac Imaging and Diagnostics (15 papers), Coronary Interventions and Diagnostics (12 papers), Cardiovascular Disease and Adiposity (9 papers), Lipoproteins and Cardiovascular Health (8 papers), Acute Myocardial Infarction Research (8 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrinology, Diabetes and Metabolism (357 citations) and Surgery (723 citations). Daisuke Fujioka has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takamitsu Nakamura, Kiyotaka Kugiyama, Ken‐ichi Kawabata, Yukio Saitō, Yoshinobu Kitta, Tsuyoshi Kobayashi, Jun–ei Obata, Yosuke Watanabe, Kazuhiro Watanabe and Jyun‐ei Obata. Their work appears in journals such as Circulation, The Journal of Immunology and Journal of the American College of Cardiology.
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.