Chunli Shao
- Molecular Biology
- Oncology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Topics
- Cardiovascular Function and Risk Factors (11 papers)Acute Myocardial Infarction Research (11 papers)Cardiac Imaging and Diagnostics (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chunli Shao
52 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 619
- Oncology 442
- Cardiology and Cardiovascular Medicine 344
- Endocrinology, Diabetes and Metabolism 318
- Epidemiology 302
Countries citing papers authored by Chunli Shao
This map shows the geographic impact of Chunli 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 Chunli Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Shao more than expected).
Fields of papers citing papers by Chunli Shao
This network shows the impact of papers produced by Chunli 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 Chunli Shao. The network helps show where Chunli Shao may publish in the future.
Co-authorship network of co-authors of Chunli Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Chunli Shao. A scholar is included among the top collaborators of Chunli 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 Chunli Shao. Chunli 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 41 | |
| 8 | 20 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | The Impact of the Stress Hyperglycemia Ratio on Short-term and Long-term Poor Prognosis in Patients With Acute Coronary Syndrome: Insight From a Large Cohort Study in Asiabreakdown → | 131 |
| 12 | 23 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 334 | |
| 19 | 182 | |
| 20 | Effect of 1-(2,6-dimethylphenoxy)-2-(3,4-dimethoxyphenylethyl- amino) propanehydrochloride on cystometry and benign prostatic hyperplasia in rats | 1 |
About Chunli Shao
Chunli Shao is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Health Informatics, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (11 papers), Acute Myocardial Infarction Research (11 papers) and Cardiac Imaging and Diagnostics (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (318 citations), Oncology (442 citations) and Cardiology and Cardiovascular Medicine (344 citations). Chunli Shao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yi‐Da Tang, Melanie H. Cobb, Jingjia Wang, Wenyao Wang, Jian Tian, Jie Yang, Xiangbin Meng, Kuo Zhang, Carmen Behrens and Ignacio I. Wistuba. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.