Mingyuan Shao
- Cardiology and Cardiovascular Medicine top 0.5%
- Surgery top 2%
- Nephrology top 0.2%
- Epidemiology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Steven E. NissenStephen J. NichollsJudy A. BeanKamyar ZahediKiyoshi MoriJonathan BaraschCatherine L. DentJaya Mishra
- Topics
- Lipoproteins and Cardiovascular Health (20 papers)Cardiac Imaging and Diagnostics (13 papers)Coronary Interventions and Diagnostics (9 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Mingyuan Shao
57 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cardiology and Cardiovascular Medicine 2.3k
- Surgery 1.7k
- Nephrology 1.6k
- Epidemiology 653
- Radiology, Nuclear Medicine and Imaging 556
Countries citing papers authored by Mingyuan Shao
This map shows the geographic impact of Mingyuan Shao'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 Mingyuan Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyuan Shao more than expected).
Fields of papers citing papers by Mingyuan Shao
This network shows the impact of papers produced by Mingyuan Shao. 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 Mingyuan Shao. The network helps show where Mingyuan Shao may publish in the future.
Co-authorship network of co-authors of Mingyuan Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Mingyuan Shao. A scholar is included among the top collaborators of Mingyuan Shao 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 Mingyuan Shao. Mingyuan Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 30 | |
| 6 | Abstract 17856: Effect of Aspirin on the Cardiovascular, Gastrointestinal, and Renal Safety of Celecoxib, Naproxen, or Ibuprofen | 1 |
| 7 | 42 | |
| 8 | 79 | |
| 9 | Impact of Statins on Serial Coronary Calcification During Atheroma Progression and Regressionbreakdown → | 378 |
| 10 | 41 | |
| 11 | 33 | |
| 12 | Event-triggered and self-triggered asymptotically tracking control of linear systems | 4 |
| 13 | 35 | |
| 14 | 0 | |
| 15 | 299 | |
| 16 | 207 | |
| 17 | 48 | |
| 18 | 127 | |
| 19 | 21 | |
| 20 | 40 |
About Mingyuan Shao
Mingyuan Shao is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 5.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (20 papers), Cardiac Imaging and Diagnostics (13 papers) and Coronary Interventions and Diagnostics (9 papers). The work is most often cited by research in Nephrology (1.6k citations), Critical Care and Intensive Care Medicine (520 citations) and Cardiology and Cardiovascular Medicine (2.3k citations). Mingyuan Shao has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Steven E. Nissen, Stephen J. Nicholls, Judy A. Bean, Kamyar Zahedi, Kiyoshi Mori, Jonathan Barasch, Catherine L. Dent, Jaya Mishra, Caitlin Kelly and Prasad Devarajan. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.