Ming C. Hsiung
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 5%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Navin C. NandaRobert P. GatewoodBenigno SotoRajendra GoyalChristopher K. AdeyF HelmckeJeng WeiWei Hsian Yin
- Topics
- Cardiac Valve Diseases and Treatments (32 papers)Cardiac Structural Anomalies and Repair (15 papers)Infective Endocarditis Diagnosis and Management (15 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming C. Hsiung
69 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 1.7k
- Epidemiology 712
- Surgery 606
- Pulmonary and Respiratory Medicine 484
- Radiology, Nuclear Medicine and Imaging 449
Countries citing papers authored by Ming C. Hsiung
This map shows the geographic impact of Ming C. Hsiung'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 Ming C. Hsiung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming C. Hsiung more than expected).
Fields of papers citing papers by Ming C. Hsiung
This network shows the impact of papers produced by Ming C. Hsiung. 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 Ming C. Hsiung. The network helps show where Ming C. Hsiung may publish in the future.
Co-authorship network of co-authors of Ming C. Hsiung
This figure shows the co-authorship network connecting the top 25 collaborators of Ming C. Hsiung. A scholar is included among the top collaborators of Ming C. Hsiung 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 Ming C. Hsiung. Ming C. Hsiung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 19 | |
| 12 | 39 | |
| 13 | 27 | |
| 14 | 74 | |
| 15 | 35 | |
| 16 | 1 | |
| 17 | 32 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 1 |
About Ming C. Hsiung
Ming C. Hsiung is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (32 papers), Cardiac Structural Anomalies and Repair (15 papers) and Infective Endocarditis Diagnosis and Management (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Epidemiology (712 citations) and Radiology, Nuclear Medicine and Imaging (449 citations). Ming C. Hsiung has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Navin C. Nanda, Robert P. Gatewood, Benigno Soto, Rajendra Goyal, Christopher K. Adey, F Helmcke, Jeng Wei, Wei Hsian Yin, Andrew P. Miller and Benjamin N. Chiang. Their work appears in journals such as Circulation, Journal of the American College of Cardiology 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.