Jianlan Cui

735 total citations
29 papers, 384 citations indexed

About

Jianlan Cui is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Jianlan Cui has authored 29 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Surgery. Recurrent topics in Jianlan Cui's work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Blood Pressure and Hypertension Studies (6 papers). Jianlan Cui is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Lipoproteins and Cardiovascular Health (6 papers) and Blood Pressure and Hypertension Studies (6 papers). Jianlan Cui collaborates with scholars based in China and United States. Jianlan Cui's co-authors include Xi Li, Jiapeng Lu, Chaoqun Wu, Naiqing Zhao, Tianshu Liu, Shan Yu, Yiyi Yu, Wěi Li, Xingyi Zhang and Lijuan Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMJ.

In The Last Decade

Jianlan Cui

23 papers receiving 377 citations

Peers

Jianlan Cui
Jin Choi United States
Tae Ryom Oh South Korea
Yao Qiao Canada
Young Duk Yun South Korea
Heather Norman United States
Jin Choi United States
Jianlan Cui
Citations per year, relative to Jianlan Cui Jianlan Cui (= 1×) peers Jin Choi

Countries citing papers authored by Jianlan Cui

Since Specialization
Citations

This map shows the geographic impact of Jianlan 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 Jianlan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianlan Cui more than expected).

Fields of papers citing papers by Jianlan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jianlan 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 Jianlan Cui. The network helps show where Jianlan Cui may publish in the future.

Co-authorship network of co-authors of Jianlan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Jianlan Cui. A scholar is included among the top collaborators of Jianlan 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 Jianlan Cui. Jianlan Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Xingyi, Siming Wang, Xingyu Zhou, et al.. (2025). A village doctor-led mobile health intervention for cardiovascular risk reduction in rural China: cluster randomised controlled trial. BMJ. 389. e082765–e082765. 1 indexed citations
2.
3.
Liu, Xuan, Bowang Chen, Xueke Bai, et al.. (2025). Area-level socioeconomic inequalities in hypertension care cascade in China: a nationwide population-based study based on the ChinaHEART project. The Lancet Regional Health - Western Pacific. 57. 101544–101544.
5.
Lu, Jiapeng, Haibo Zhang, Bowang Chen, et al.. (2024). Association and its population heterogeneities between low-density lipoprotein cholesterol and all-cause and cardiovascular mortality: A population-based cohort study. Chinese Medical Journal. 137(17). 2075–2083. 1 indexed citations
6.
Wu, Xiaoyan, Bowang Chen, Yi‐Long Wu, et al.. (2024). Associations between Chinese visceral adiposity index and risks of all‐cause and cause‐specific mortality: A population‐based cohort study. Diabetes Obesity and Metabolism. 26(4). 1264–1272. 14 indexed citations
7.
Chen, Liang, Shi Chen, Xueke Bai, et al.. (2024). Low-Density Lipoprotein Cholesterol, Cardiovascular Disease Risk, and Mortality in China. JAMA Network Open. 7(7). e2422558–e2422558. 27 indexed citations
8.
Bai, Xueke, Yang Yang, Jianlan Cui, et al.. (2024). Healthy lifestyle, statin, and mortality in people with high CVD risk: A nationwide population-based cohort study. SHILAP Revista de lepidopterología. 17. 100635–100635. 6 indexed citations
9.
Zhang, Zenglei, Wei Wang, Xueke Bai, et al.. (2024). Association of the triglyceride–glucose index with all-cause and cause-specific mortality: a population-based cohort study of 3.5 million adults in China. The Lancet Regional Health - Western Pacific. 49. 101135–101135. 16 indexed citations
10.
Chen, Bowang, Xueke Bai, Chaoqun Wu, et al.. (2024). Area-level socioeconomic inequalities in mortality in China: a nationwide cohort study based on the ChinaHEART project. The Lancet Public Health. 9(12). e1014–e1024. 2 indexed citations
11.
Wang, Yunfeng, Chaoqun Wu, Jiapeng Lu, et al.. (2023). Influence of Socioeconomic Gender Inequality on Sex Disparities in Prevention and Outcome of Cardiovascular Disease: Data From a Nationwide Population Cohort in China. Journal of the American Heart Association. 12(20). e030203–e030203. 4 indexed citations
12.
Yang, Yang, Jiapeng Lu, Jianlan Cui, et al.. (2023). Cohort Profile: ChinaHEART (Health Evaluation And risk Reduction through nationwide Teamwork) Cohort. International Journal of Epidemiology. 52(5). e273–e282. 23 indexed citations
13.
Lu, Jiapeng, Guiyuan Han, Xiaoying Liu, et al.. (2023). Association of high-density lipoprotein cholesterol with all-cause and cause-specific mortality in a Chinese population of 3.3 million adults: a prospective cohort study. The Lancet Regional Health - Western Pacific. 42. 100874–100874. 30 indexed citations
14.
Wu, Yi‐Long, Minjie Qi, Lijuan Song, et al.. (2023). Associations of remnant cholesterol with cardiovascular and cancer mortality in a nationwide cohort. Science Bulletin. 69(4). 526–534. 28 indexed citations
15.
Wang, Xiuling, Jiali Song, Yan Gao, et al.. (2022). Association Between Weight Gain From Young to Middle Adulthood and Metabolic Syndrome Across Different BMI Categories at Young Adulthood. Frontiers in Endocrinology. 12. 812104–812104. 13 indexed citations
16.
Wang, Bin, Xueke Bai, Yang Yang, et al.. (2022). Prevalence, treatment, and attributed mortality of elevated blood pressure among a nationwide population-based cohort of stroke survivors in China. Frontiers in Cardiovascular Medicine. 9. 890080–890080. 1 indexed citations
17.
Lu, Jiapeng, Yang Yang, Jianlan Cui, et al.. (2022). Alcohol use disorder and its association with quality of life and mortality in Chinese male adults: a population-based cohort study. BMC Public Health. 22(1). 789–789. 11 indexed citations
18.
Zhang, Xingyi, Jiapeng Lu, Chaoqun Wu, et al.. (2021). Healthy lifestyle behaviours and all-cause and cardiovascular mortality among 0.9 million Chinese adults. International Journal of Behavioral Nutrition and Physical Activity. 18(1). 162–162. 47 indexed citations
19.
Cui, Jianlan, Xueya Cai, Min Zhu, Tianshu Liu, & Naiqing Zhao. (2013). The Efficacy of Bevacizumab Compared with Other Targeted Drugs for Patients with Advanced NSCLC: A Meta-Analysis from 30 Randomized Controlled Clinical Trials. PLoS ONE. 8(4). e62038–e62038. 15 indexed citations
20.
Yu, Shan, Yiyi Yu, Naiqing Zhao, et al.. (2013). c-Met as a Prognostic Marker in Gastric Cancer: A Systematic Review and Meta-Analysis. PLoS ONE. 8(11). e79137–e79137. 73 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026