Ping Qing
Impact in
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
- Coronary Interventions and Diagnostics
- Cholesterol and Lipid Metabolism
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Surgery 36
- Lipoproteins and Cardiovascular Health 32
- Coronary Interventions and Diagnostics 6
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 10
- Co-authors
- Yuan-Lin Guo (51 shared papers)Cheng‐Gang Zhu (49 shared papers)Na‐Qiong Wu (49 shared papers)Rui‐Xia Xu (32 shared papers)Jian‐Jun Li (39 shared papers)Sha Li (31 shared papers)Jing Sun (22 shared papers)Qian Dong (20 shared papers)
- Journals
- Atherosclerosis (3 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)International Journal of Cardiology (3 papers)Journal of clinical lipidology (3 papers)
- Partner nations
- China
In The Last Decade
Ping Qing
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 64
- Surgery 672
- Endocrinology, Diabetes and Metabolism 150
- Cardiology and Cardiovascular Medicine 199
- Oncology 114
- Immunology 81
Countries citing papers authored by Ping Qing
This map shows the geographic impact of Ping Qing'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 Ping Qing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Qing more than expected).
Fields of papers citing papers by Ping Qing
This network shows the impact of papers produced by Ping Qing. 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 Ping Qing. The network helps show where Ping Qing may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Qing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 106 | |
| 2 | 2015 | 80 | |
| 3 | 2014 | 71 | |
| 4 | 2017 | 67 | |
| 5 | 2016 | 54 | |
| 6 | 2016 | 54 | |
| 7 | 2014 | 52 | |
| 8 | 2017 | 52 | |
| 9 | 2015 | 44 | |
| 10 | 2014 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2016 | 32 | |
| 13 | 2013 | 29 | |
| 14 | 2016 | 28 | |
| 15 | 2017 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2014 | 22 | |
| 18 | 2015 | 21 | |
| 19 | 2016 | 21 | |
| 20 | 2017 | 21 |
About Ping Qing
Ping Qing is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (32 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Acute Myocardial Infarction Research (10 papers), Inflammatory Biomarkers in Disease Prognosis (7 papers), Cardiac Imaging and Diagnostics (6 papers), Coronary Interventions and Diagnostics (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Blood properties and coagulation (4 papers). The work is most often cited by research in Surgery (672 citations), Endocrinology, Diabetes and Metabolism (150 citations), Cardiology and Cardiovascular Medicine (199 citations), Oncology (114 citations) and Immunology (81 citations). Ping Qing has collaborated with scholars based in China. Frequent co-authors include Yuan-Lin Guo, Cheng‐Gang Zhu, Na‐Qiong Wu, Rui‐Xia Xu, Jian‐Jun Li, Sha Li, Jing Sun, Qian Dong, Geng Liu and Xiaolin Li. Their work appears in journals such as Atherosclerosis, Scientific Reports, PLoS ONE, International Journal of Cardiology and Journal of clinical lipidology.
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.