Kwo‐Chang Ueng
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Shun‐Fa YangChin‐Feng TsaiYi‐Sun YangYing‐Fang SuHui‐Wen YangMeng‐Chih LeeShiuan‐Chih ChenCHING‐TAI TAI
- Topics
- Atrial Fibrillation Management and Outcomes (24 papers)Cardiac Arrhythmias and Treatments (20 papers)Blood Pressure and Hypertension Studies (13 papers)
- Cited by
- Cardiology and Cardiovascular MedicineMolecular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Kwo‐Chang Ueng
90 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 785
- Surgery 343
- Endocrinology, Diabetes and Metabolism 332
- Molecular Biology 271
- Public Health, Environmental and Occupational Health 161
Countries citing papers authored by Kwo‐Chang Ueng
This map shows the geographic impact of Kwo‐Chang Ueng'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 Kwo‐Chang Ueng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwo‐Chang Ueng more than expected).
Fields of papers citing papers by Kwo‐Chang Ueng
This network shows the impact of papers produced by Kwo‐Chang Ueng. 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 Kwo‐Chang Ueng. The network helps show where Kwo‐Chang Ueng may publish in the future.
Co-authorship network of co-authors of Kwo‐Chang Ueng
This figure shows the co-authorship network connecting the top 25 collaborators of Kwo‐Chang Ueng. A scholar is included among the top collaborators of Kwo‐Chang Ueng 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 Kwo‐Chang Ueng. Kwo‐Chang Ueng 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 | 21 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 44 | |
| 10 | 27 | |
| 11 | Prevalence of Metabolic Syndrome and Its Relationship with Cardiovascular Disease among Hypertensive Patients 55-80 Years of Age | 12 |
| 12 | 80 | |
| 13 | 27 | |
| 14 | 55 | |
| 15 | 28 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | Clopidogrel-associated Severe Isolated Thrombocytopenia - A Case Report | 4 |
| 19 | 9 | |
| 20 | 5 |
About Kwo‐Chang Ueng
Kwo‐Chang Ueng is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (24 papers), Cardiac Arrhythmias and Treatments (20 papers) and Blood Pressure and Hypertension Studies (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (785 citations), Molecular Medicine (114 citations) and Endocrinology, Diabetes and Metabolism (332 citations). Kwo‐Chang Ueng has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Shun‐Fa Yang, Chin‐Feng Tsai, Yi‐Sun Yang, Ying‐Fang Su, Hui‐Wen Yang, Meng‐Chih Lee, Shiuan‐Chih Chen, CHING‐TAI TAI, HSUAN‐MING TSAO and Wai‐Nang Chao. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Critical Care Medicine.
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.