Cheng-Kun Du
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
- Viral Infections and Immunology Research
- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
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- Muscle Physiology and Disorders
- Ion channel regulation and function
Papers in
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- Cardiomyopathy and Myosin Studies 7
- Cardiac electrophysiology and arrhythmias 3
- Cardiovascular Effects of Exercise 3
- Cardiac Fibrosis and Remodeling 3
- Viral Infections and Immunology Research 2
- Co-authors
- Sachio Morimoto (9 shared papers)Toshiyuki Sasaguri (6 shared papers)Fumi Takahashi‐Yanaga (6 shared papers)Yoshikazu Miwa (4 shared papers)Dong‐Yun Zhan (8 shared papers)Iwao Ohtsuki (2 shared papers)Yuan Yuan Wang (3 shared papers)Keita Harada (1 shared paper)
- Journals
- Cardiovascular Research (3 papers)Journal of Molecular and Cellular Cardiology (2 papers)Circulation Research (2 papers)Autonomic Neuroscience (1 paper)Life Sciences (1 paper)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Cheng-Kun Du
10 papers receiving 364 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 261
- Molecular Biology 197
- Aging 4
- Endocrinology, Diabetes and Metabolism 28
- Physiology 40
Countries citing papers authored by Cheng-Kun Du
This map shows the geographic impact of Cheng-Kun Du'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 Cheng-Kun Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Kun Du more than expected).
Fields of papers citing papers by Cheng-Kun Du
This network shows the impact of papers produced by Cheng-Kun Du. 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 Cheng-Kun Du. The network helps show where Cheng-Kun Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng-Kun Du, 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 | 2007 | 135 | |
| 2 | 2003 | 80 | |
| 3 | 2020 | 58 | |
| 4 | 2010 | 35 | |
| 5 | 2009 | 26 | |
| 6 | 2008 | 12 | |
| 7 | 2012 | 10 | |
| 8 | 2014 | 6 | |
| 9 | 2016 | 6 | |
| 10 | 2017 | 2 |
About Cheng-Kun Du
Cheng-Kun Du is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Effects of Exercise (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Viral Infections and Immunology Research (2 papers), MicroRNA in disease regulation (1 paper), Thyroid Disorders and Treatments (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (261 citations), Molecular Biology (197 citations), Aging (4 citations), Endocrinology, Diabetes and Metabolism (28 citations) and Physiology (40 citations). Cheng-Kun Du has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Sachio Morimoto, Toshiyuki Sasaguri, Fumi Takahashi‐Yanaga, Yoshikazu Miwa, Dong‐Yun Zhan, Iwao Ohtsuki, Yuan Yuan Wang, Keita Harada, Reiko Minakami and Satomi Kita. Their work appears in journals such as Cardiovascular Research, Journal of Molecular and Cellular Cardiology, Circulation Research, Autonomic Neuroscience and Life Sciences.
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.