Cancan Cui
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Physiology
- Nutrition and Dietetics
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Cardiovascular Function and Risk Factors (4 papers)Lipoproteins and Cardiovascular Health (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Cancan Cui
18 papers receiving 309 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 151
- Epidemiology 131
- Cardiology and Cardiovascular Medicine 103
- Physiology 53
- Nutrition and Dietetics 29
Countries citing papers authored by Cancan Cui
This map shows the geographic impact of Cancan Cui'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 Cancan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cancan Cui more than expected).
Fields of papers citing papers by Cancan Cui
This network shows the impact of papers produced by Cancan Cui. 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 Cancan Cui. The network helps show where Cancan Cui may publish in the future.
Co-authorship network of co-authors of Cancan Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Cancan Cui. A scholar is included among the top collaborators of Cancan Cui 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 Cancan Cui. Cancan Cui 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 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | Joint association of TyG index and high sensitivity C-reactive protein with cardiovascular disease: a national cohort studybreakdown → | 70 |
| 7 | 3 | |
| 8 | 2 | |
| 9 | Comparison of triglyceride glucose index and modified triglyceride glucose indices in prediction of cardiovascular diseases in middle aged and older Chinese adultsbreakdown → | 63 |
| 10 | 5 | |
| 11 | Triglyceride-glucose index, renal function and cardiovascular disease: a national cohort studybreakdown → | 73 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 28 |
About Cancan Cui
Cancan Cui is a scholar working on Endocrinology, Diabetes and Metabolism, Biological Psychiatry and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 311 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cardiovascular Function and Risk Factors (4 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (151 citations), Cardiology and Cardiovascular Medicine (103 citations) and Nephrology (28 citations). Cancan Cui has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yitian Qi, Lin Liu, Zhiyuan Wu, Zhijia Wang, Ning Han, Tian-Jiao Han, Haikun Xu, Te Zhang, Zhonghang Xu and Jiayin Song. Their work appears in journals such as Nano Letters, American Journal of Physiology-Cell Physiology and JAMA Network Open.
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.