Run-ping Zheng
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Physiology
- Public Health, Environmental and Occupational Health
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Lipid metabolism and disorders (3 papers)Cancer, Lipids, and Metabolism (2 papers)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Run-ping Zheng
6 papers receiving 106 citations
Peers
Comparison fields: 5 of 48
- Endocrinology, Diabetes and Metabolism 57
- Cardiology and Cardiovascular Medicine 26
- Epidemiology 24
- Physiology 21
- Public Health, Environmental and Occupational Health 19
Countries citing papers authored by Run-ping Zheng
This map shows the geographic impact of Run-ping Zheng'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 Run-ping Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run-ping Zheng more than expected).
Fields of papers citing papers by Run-ping Zheng
This network shows the impact of papers produced by Run-ping Zheng. 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 Run-ping Zheng. The network helps show where Run-ping Zheng may publish in the future.
Co-authorship network of co-authors of Run-ping Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Run-ping Zheng. A scholar is included among the top collaborators of Run-ping Zheng 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 Run-ping Zheng. Run-ping Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 23 | |
| 3 | [A community-based study on relations between metabolic syndrome and carotid atherosclerosis in a middle-aged population]. | 1 |
| 4 | [Association between chronic kidney disease and cardiovascular events in middle-to-old-aged Chinese population]. | 0 |
| 5 | [Two-year follow-up for patients with pre-diabetes that reverted to normal glucose in the first year]. | 1 |
| 6 | [Comparison of the diagnostic criteria of metabolic syndrome by International Diabetes Federation and that by Chinese Medical Association Diabetes Branch]. | 44 |
| 7 | 28 |
About Run-ping Zheng
Run-ping Zheng is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Nephrology, having authored 7 papers that have together received 109 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and disorders (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (57 citations), Cardiology and Cardiovascular Medicine (26 citations) and Physiology (21 citations). Run-ping Zheng has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Chunlin Li, Yanhui Lu, Hui Tian, Xianling Wang, Shuyu Wang, Changyu Pan, Lijuan Yang, Lisheng Liu, Juming Lu and Yuqing Zhang. Their work appears in journals such as International Journal of Epidemiology, Aging & Mental Health and Advances in Therapy.
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.