Yongcheng Ren

3.7k total citations
83 papers, 2.2k citations indexed

About

Yongcheng Ren is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yongcheng Ren has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 34 papers in Endocrinology, Diabetes and Metabolism and 24 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yongcheng Ren's work include Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Obesity, Physical Activity, Diet (16 papers) and Nutritional Studies and Diet (13 papers). Yongcheng Ren is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Obesity, Physical Activity, Diet (16 papers) and Nutritional Studies and Diet (13 papers). Yongcheng Ren collaborates with scholars based in China, Pakistan and United States. Yongcheng Ren's co-authors include Dongsheng Hu, Yang Zhao, Bingyuan Wang, Chengyi Han, Ming Zhang, Xizhuo Sun, Junmei Zhou, Chongjian Wang, Jingzhi Zhao and Linlin Li and has published in prestigious journals such as PLoS ONE, Biochemistry and Journal of Virology.

In The Last Decade

Yongcheng Ren

80 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yongcheng Ren China 28 723 715 601 548 504 83 2.2k
Chung-Shiuan Chen United States 14 824 1.1× 528 0.7× 684 1.1× 542 1.0× 330 0.7× 18 2.5k
Michael Stern United States 7 473 0.7× 1.3k 1.9× 344 0.6× 453 0.8× 563 1.1× 12 2.1k
Renée de Mutsert Netherlands 23 380 0.5× 405 0.6× 331 0.6× 760 1.4× 469 0.9× 105 2.5k
Akira Fujiyoshi Japan 30 1.1k 1.6× 478 0.7× 598 1.0× 535 1.0× 349 0.7× 174 2.8k
Naoko Mukai Japan 31 537 0.7× 496 0.7× 343 0.6× 475 0.9× 379 0.8× 67 2.3k
Hugo W. Huisman South Africa 28 1.0k 1.4× 387 0.5× 308 0.5× 325 0.6× 316 0.6× 125 2.1k
Leena Moilanen Finland 27 578 0.8× 940 1.3× 304 0.5× 536 1.0× 410 0.8× 67 2.5k
John Skoumas Greece 30 695 1.0× 560 0.8× 788 1.3× 754 1.4× 381 0.8× 83 2.4k
A. Enrique Caballero United States 24 801 1.1× 1.1k 1.5× 267 0.4× 634 1.2× 633 1.3× 59 2.8k
Hong Yup Ahn South Korea 28 269 0.4× 455 0.6× 505 0.8× 511 0.9× 499 1.0× 134 2.4k

Countries citing papers authored by Yongcheng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yongcheng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongcheng Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Yongcheng Ren. A scholar is included among the top collaborators of Yongcheng Ren 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 Yongcheng Ren. Yongcheng Ren 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.
Chen, Yao, Yongcheng Ren, Mingkun Chen, et al.. (2025). Tegaserod maleate exerts anti-tumor effects on prostate cancer via repressing sonic hedgehog signaling pathway. Molecular Medicine. 31(1). 30–30.
2.
Ren, Yongcheng, Wenwen Wang, Zheng Li, et al.. (2024). Association between ideal cardiovascular health and abnormal glucose metabolism in the elderly: evidence based on real-world data. BMC Geriatrics. 24(1). 414–414. 9 indexed citations
3.
Ren, Yongcheng, Lulu Cheng, Yuting Yang, et al.. (2024). Ideal cardiovascular health index and high-normal blood pressure in elderly people: evidence based on real-world data. Scientific Reports. 14(1). 10166–10166.
4.
Ren, Yongcheng, et al.. (2022). The top 5 causes of death in China from 2000 to 2017. Scientific Reports. 12(1). 8119–8119. 12 indexed citations
5.
Ren, Yongcheng, et al.. (2020). Adductor canal block with periarticular infiltration versus periarticular infiltration alone after total knee arthroplasty. Medicine. 99(20). e20213–e20213. 3 indexed citations
6.
Li, Quanman, Ranran Qie, Pei Qin, et al.. (2020). Association of weight-adjusted-waist index with incident hypertension: The Rural Chinese Cohort Study. Nutrition Metabolism and Cardiovascular Diseases. 30(10). 1732–1741. 85 indexed citations
7.
8.
Liu, Dechen, Li Guan, Yang Zhao, et al.. (2020). Association of triglycerides to high-density lipoprotein-cholesterol ratio with risk of incident hypertension. Hypertension Research. 43(9). 948–955. 19 indexed citations
9.
Chu, Chao, Yi Dai, Jianjun Mu, et al.. (2017). Associations of risk factors in childhood with arterial stiffness 26 years later. Journal of Hypertension. 35(Supplement 1). S10–S15. 33 indexed citations
10.
Ren, Yongcheng, Ming Zhang, Xinping Luo, et al.. (2017). Secular trend of the leading causes of death in China from 2003 to 2013. African Health Sciences. 17(2). 532–532. 5 indexed citations
11.
12.
Zhou, Jun, Ming Zhang, Shu Wang, et al.. (2016). Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population: A Meta-analysis.. PubMed. 29(7). 505–15. 24 indexed citations
13.
Yang, Xingjin, Lu Yin, Chao Pang, et al.. (2016). [Body mass index, waist circumference and waist-to-height ratio associated with the incidence of type 2 diabetes mellitus: a cohort study].. PubMed. 50(4). 328–33. 13 indexed citations
14.
Zhang, Lu, Bingyuan Wang, Chongjian Wang, et al.. (2016). High pulse pressure is related to risk of type 2 diabetes mellitus in Chinese middle-aged females. International Journal of Cardiology. 220. 467–471. 21 indexed citations
15.
Zhang, Ming, Hongyan Zhang, Chongjian Wang, et al.. (2016). Development and Validation of a Risk-Score Model for Type 2 Diabetes: A Cohort Study of a Rural Adult Chinese Population. PLoS ONE. 11(4). e0152054–e0152054. 31 indexed citations
16.
Liu, Xuejiao, Xinping Luo, Yu Liu, et al.. (2016). Resting heart rate and risk of metabolic syndrome in adults: a dose–response meta-analysis of observational studies. Acta Diabetologica. 54(3). 223–235. 32 indexed citations
17.
18.
Wang, Jinjin, Guoli Yan, Jianfeng Zhang, et al.. (2015). Association of LRP5, TCF7L2, and GCG variants and type 2 diabetes mellitus as well as fasting plasma glucose and lipid metabolism indexes. Human Immunology. 76(5). 339–343. 10 indexed citations
19.
Yan, Pijun, et al.. (2011). Changes of Serum Omentin Levels and Relationship between Omentin and Adiponectin Concentrations in Type 2 Diabetes Mellitus. Experimental and Clinical Endocrinology & Diabetes. 119(4). 257–263. 91 indexed citations
20.
Xu, S.J., Yaoqi Zhou, Sen Yang, et al.. (2010). Platelet-derived Growth Factor Receptor Alpha Gene Mutations in Vitiligo Vulgaris. Acta Dermato Venereologica. 90(2). 131–135. 13 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.

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