Jan‐Hung Chen
Impact in
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- Cardiac Valve Diseases and Treatments
- Cardiomyopathy and Myosin Studies
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
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- Cardiac Valve Diseases and Treatments 4
- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Craig A. Simmons (7 shared papers)Cindy Ying Yin Yip (4 shared papers)Chao Liu (1 shared paper)Lidan You (1 shared paper)Ruogang Zhao (1 shared paper)Eli D. Sone (1 shared paper)Wen Li Kelly Chen (1 shared paper)Krista L. Sider (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Journal of Biomechanics (2 papers)Nucleic Acids Research (2 papers)Nature Protocols (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Jan‐Hung Chen
12 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Cardiology and Cardiovascular Medicine 626
- Biomaterials 185
- Orthopedics and Sports Medicine 106
- Cell Biology 196
- Pulmonary and Respiratory Medicine 268
Countries citing papers authored by Jan‐Hung Chen
This map shows the geographic impact of Jan‐Hung Chen'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 Jan‐Hung Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan‐Hung Chen more than expected).
Fields of papers citing papers by Jan‐Hung Chen
This network shows the impact of papers produced by Jan‐Hung Chen. 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 Jan‐Hung Chen. The network helps show where Jan‐Hung Chen may publish in the future.
Co-authors
The 18 scholars most cited alongside Jan‐Hung Chen, 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 | 2009 | 312 | |
| 2 | 2009 | 279 | |
| 3 | 2011 | 244 | |
| 4 | 2009 | 173 | |
| 5 | 2010 | 160 | |
| 6 | 2009 | 120 | |
| 7 | 2013 | 59 | |
| 8 | 2013 | 57 | |
| 9 | 2011 | 56 | |
| 10 | 2014 | 53 | |
| 11 | 2014 | 6 | |
| 12 | The Probability of Informed Trading and the Performance of Stock in an Order-Driven Market | 2007 | 3 |
About Jan‐Hung Chen
Jan‐Hung Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Cell Biology and Genetics, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), CRISPR and Genetic Engineering (3 papers), Aortic Disease and Treatment Approaches (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cellular Mechanics and Interactions (2 papers), RNA and protein synthesis mechanisms (2 papers), Stock Market Forecasting Methods (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (626 citations), Biomaterials (185 citations), Orthopedics and Sports Medicine (106 citations), Cell Biology (196 citations) and Pulmonary and Respiratory Medicine (268 citations). Jan‐Hung Chen has collaborated with scholars based in Canada and United States. Frequent co-authors include Craig A. Simmons, Cindy Ying Yin Yip, Chao Liu, Lidan You, Ruogang Zhao, Eli D. Sone, Wen Li Kelly Chen, Krista L. Sider, Christopher Moraes and Pamela A. Silver. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biomechanics, Nucleic Acids Research, Nature Protocols and American Journal Of Pathology.
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.