Cheng-Hsueh Wu
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Shing‐Jong LinTze‐Fan ChaoKang-Ling WangTzeng‐Ji ChenChia‐Jen LiuChi-Ming HuangChern-En ChiangSu-Jung Chen
- Topics
- Heart Failure Treatment and Management (4 papers)Lipoproteins and Cardiovascular Health (3 papers)Acute Myocardial Infarction Research (3 papers)
- Journals
- Journal of the American College of CardiologyScientific ReportsThe American Journal of Cardiology
- Partner nations
- TaiwanUnited StatesCzechia
In The Last Decade
Cheng-Hsueh Wu
22 papers receiving 446 citations
Peers
Comparison fields: 5 of 67
- Surgery 158
- Endocrinology, Diabetes and Metabolism 153
- Cardiology and Cardiovascular Medicine 146
- Epidemiology 59
- Molecular Biology 56
Countries citing papers authored by Cheng-Hsueh Wu
This map shows the geographic impact of Cheng-Hsueh 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 Cheng-Hsueh Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Hsueh Wu more than expected).
Fields of papers citing papers by Cheng-Hsueh Wu
This network shows the impact of papers produced by Cheng-Hsueh 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 Cheng-Hsueh Wu. The network helps show where Cheng-Hsueh Wu may publish in the future.
Co-authorship network of co-authors of Cheng-Hsueh Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Hsueh Wu. A scholar is included among the top collaborators of Cheng-Hsueh 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 Cheng-Hsueh Wu. Cheng-Hsueh 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 | 2 | |
| 2 | 12 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 21 | |
| 6 | 35 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | 60 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 29 | |
| 17 | 98 | |
| 18 | 44 | |
| 19 | 6 | |
| 20 | 7 |
About Cheng-Hsueh Wu
Cheng-Hsueh Wu is a scholar working on Family Practice, Medical Laboratory Technology and Internal Medicine, having authored 22 papers that have together received 454 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (4 papers), Lipoproteins and Cardiovascular Health (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (153 citations), Nephrology (56 citations) and Cardiology and Cardiovascular Medicine (146 citations). Cheng-Hsueh Wu has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Shing‐Jong Lin, Tze‐Fan Chao, Kang-Ling Wang, Tzeng‐Ji Chen, Chia‐Jen Liu, Chi-Ming Huang, Chern-En Chiang, Su-Jung Chen, Chun Chin Chang and Po‐Hsun Huang. Their work appears in journals such as Journal of the American College of Cardiology, Scientific Reports and The American Journal 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.