Chau‐Chung Wu
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Yuan‐Teh LeeWei‐Kung TsengMing‐Jai SuTzung‐Dau WangKai‐Chien YangYen‐Bin LiuLi‐Ting HoLung‐Chun Lin
- Topics
- Lipoproteins and Cardiovascular Health (19 papers)Cardiovascular Function and Risk Factors (13 papers)Cardiac Imaging and Diagnostics (11 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chau‐Chung Wu
91 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 141
- Cardiology and Cardiovascular Medicine 553
- Surgery 425
- Pulmonary and Respiratory Medicine 224
- Molecular Biology 195
- Radiology, Nuclear Medicine and Imaging 169
Countries citing papers authored by Chau‐Chung Wu
This map shows the geographic impact of Chau‐Chung Wu'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 Chau‐Chung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chau‐Chung Wu more than expected).
Fields of papers citing papers by Chau‐Chung Wu
This network shows the impact of papers produced by Chau‐Chung Wu. 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 Chau‐Chung Wu. The network helps show where Chau‐Chung Wu may publish in the future.
Co-authorship network of co-authors of Chau‐Chung Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chau‐Chung Wu. A scholar is included among the top collaborators of Chau‐Chung Wu 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 Chau‐Chung Wu. Chau‐Chung Wu 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 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | A Retrospective Study of Statin Use and Its Effectiveness in Taiwanese | 10 |
| 13 | 30 | |
| 14 | Is it Cost-Effective to Change Brand-Name to Generic Simvastatin in Taiwan? | 1 |
| 15 | 21 | |
| 16 | 22 | |
| 17 | Preoperative Demonstration of Aortocardiac Fistula Caused by Aortic Valve Endocarditis Using Real-time Three-dimensional Echocardiography-A Case Report | 2 |
| 18 | 18 | |
| 19 | Effect of Muscle Type, Packaging, and Irradiation on Lipid Oxidation, Volatile Production, and Color in Raw Pork Patties | 4 |
| 20 | 2 |
About Chau‐Chung Wu
Chau‐Chung Wu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (19 papers), Cardiovascular Function and Risk Factors (13 papers) and Cardiac Imaging and Diagnostics (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (553 citations), Surgery (425 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Chau‐Chung Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yuan‐Teh Lee, Wei‐Kung Tseng, Ming‐Jai Su, Tzung‐Dau Wang, Kai‐Chien Yang, Yen‐Bin Liu, Li‐Ting Ho, Lung‐Chun Lin, Hung‐I Yeh and Yifan Yang. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Circulation Research.
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.