Yanyan Zhao

4.8k total citations
171 papers, 3.1k citations indexed

About

Yanyan Zhao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Yanyan Zhao has authored 171 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cardiology and Cardiovascular Medicine, 49 papers in Surgery and 45 papers in Molecular Biology. Recurrent topics in Yanyan Zhao's work include Coronary Interventions and Diagnostics (28 papers), Acute Myocardial Infarction Research (28 papers) and Cardiac Imaging and Diagnostics (21 papers). Yanyan Zhao is often cited by papers focused on Coronary Interventions and Diagnostics (28 papers), Acute Myocardial Infarction Research (28 papers) and Cardiac Imaging and Diagnostics (21 papers). Yanyan Zhao collaborates with scholars based in China, United States and United Kingdom. Yanyan Zhao's co-authors include Feng Guo, Jinyong Peng, Lianhong Yin, Lina Xu, Youwei Xu, Yan Qi, Xiaojun Ma, Guijun Qin, Xu Han and Lina Wu and has published in prestigious journals such as Environmental Science & Technology, Journal of the American College of Cardiology and Journal of Hazardous Materials.

In The Last Decade

Yanyan Zhao

158 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanyan Zhao China 35 1.1k 561 499 402 355 171 3.1k
Xuan Li China 23 805 0.7× 490 0.9× 551 1.1× 441 1.1× 241 0.7× 141 2.4k
Lin Yang China 25 1.0k 0.9× 524 0.9× 489 1.0× 635 1.6× 174 0.5× 149 2.9k
Sebastián Mas Spain 25 948 0.9× 411 0.7× 301 0.6× 348 0.9× 302 0.9× 73 2.8k
Xian Zhang China 33 1.2k 1.1× 426 0.8× 290 0.6× 518 1.3× 348 1.0× 146 3.7k
Songming Huang China 36 1.9k 1.7× 458 0.8× 258 0.5× 416 1.0× 348 1.0× 183 4.3k
Veronika A. Myasoedova Italy 31 1.3k 1.2× 922 1.6× 904 1.8× 707 1.8× 475 1.3× 106 4.4k
Felipe Zúñiga Chile 24 1.3k 1.2× 389 0.7× 508 1.0× 517 1.3× 462 1.3× 48 3.6k
David Sheikh‐Hamad United States 36 1.6k 1.4× 421 0.8× 251 0.5× 332 0.8× 182 0.5× 78 3.7k
Francisco J. Rios United Kingdom 33 1.2k 1.1× 471 0.8× 995 2.0× 360 0.9× 287 0.8× 86 4.0k
Changwei Liu China 29 1.5k 1.3× 636 1.1× 281 0.6× 646 1.6× 311 0.9× 182 3.9k

Countries citing papers authored by Yanyan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yanyan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanyan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yanyan Zhao. A scholar is included among the top collaborators of Yanyan Zhao 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 Yanyan Zhao. Yanyan Zhao 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.
2.
Wang, Xiang, Yanyan Zhao, Yi Li, et al.. (2025). Plasma FGF2 and YAP1 as novel biomarkers for MCI in the elderly: analysis via bioinformatics and clinical study. Frontiers in Neuroscience. 19. 1663276–1663276.
3.
Ma, Guohua, et al.. (2025). Exploring the mechanism of Epimedium in diabetes mellitus treatment based on network pharmacology and molecular dynamics simulation. Chinese Journal of Analytical Chemistry. 53(9). 100574–100574.
4.
Chen, Yu, Yanyan Zhao, Keyan Wu, Ziliang Wang, & Zhifeng Chen. (2025). Study on Tobacco Donations in China: An Analysis Based on Tobacco Industry Literature. 3(1). 107–118. 1 indexed citations
5.
Chen, Yu, et al.. (2025). Marketing behind charity: Media narratives of tobacco industry donations in China. Tobacco Induced Diseases. 23(October). 1–9.
6.
Zhang, Bin, Zhe Li, Qing‐Rong Liu, et al.. (2025). The Valvular Heart Disease-specific Age-adjusted Comorbidity Index (VHD-ACI) score in patients with moderate or severe valvular heart disease. Journal of Geriatric Cardiology. 22(9). 759–774.
7.
Chen, Dong, et al.. (2024). Aortic Dissection Incidence and Risk Factor Analysis: Findings from the China Kadoorie Biobank. European Journal of Vascular and Endovascular Surgery. 69(4). 611–618. 3 indexed citations
8.
Ji, Hongfei, Yanyan Zhao, Xiaojun Ma, et al.. (2023). Upregulation of UHRF1 Promotes PINK1-mediated Mitophagy to Alleviates Ferroptosis in Diabetic Nephropathy. Inflammation. 47(2). 718–732. 13 indexed citations
9.
Wu, Chao, Xiaojin Gao, Ling Li, et al.. (2023). Role of ST‐Segment Resolution Alone and in Combination With TIMI Flow After Primary Percutaneous Coronary Intervention for ST‐Segment–Elevation Myocardial Infarction. Journal of the American Heart Association. 12(14). e029670–e029670. 7 indexed citations
10.
11.
Zhang, Rui, Bo Xu, Kefei Dou, et al.. (2022). Post-PCI outcomes predicted by pre-intervention simulation of residual quantitative flow ratio using augmented reality. International Journal of Cardiology. 352. 33–39. 16 indexed citations
12.
Dou, Kefei, Dong Zhang, Hongwei Pan, et al.. (2020). Active SB-P Versus Conventional Approach to the Protection of High-Risk Side Branches. JACC: Cardiovascular Interventions. 13(9). 1112–1122. 11 indexed citations
13.
Wang, Jiao, Zhimin Wang, Shanshan Chen, et al.. (2019). A simple nonlaboratory-based risk score to identify diabetic kidney disease in Chinese patients with type 2 diabetes mellitus. 11(8). 549–554. 2 indexed citations
14.
Zhang, Xuehua, et al.. (2019). Schizandrin protects H9c2 cells against lipopolysaccharide‐induced injury by downregulating Smad3. Journal of Biochemical and Molecular Toxicology. 33(5). e22301–e22301. 14 indexed citations
15.
16.
Zhao, Yanyan, Chunhua Song, Xiaokun Ma, et al.. (2017). Synergistic Effect of Family History of Diabetes and Dietary Habits on the Risk of Type 2 Diabetes in Central China. International Journal of Endocrinology. 2017. 1–8. 16 indexed citations
17.
Zhang, Yimeng, Xufeng Tao, Lianhong Yin, et al.. (2017). Protective effects of dioscin against cisplatin‐induced nephrotoxicity via the microRNA‐34a/sirtuin 1 signalling pathway. British Journal of Pharmacology. 174(15). 2512–2527. 87 indexed citations
18.
Xu, Bo, Björn Redfors, Yuejin Yang, et al.. (2016). Impact of Operator Experience and Volume on Outcomes After Left Main Coronary Artery Percutaneous Coronary Intervention. JACC: Cardiovascular Interventions. 9(20). 2086–2093. 64 indexed citations
19.
Zhang, Yi, Xiaohui Hu, Yu Shi, et al.. (2013). Beneficial Role of Exogenous Spermidine on Nitrogen Metabolism in Tomato Seedlings Exposed to Saline-alkaline Stress. Journal of the American Society for Horticultural Science. 138(1). 38–49. 28 indexed citations
20.
Zhao, Yanyan, Xingjian Lin, Weiguo Liu, & Min Ye. (2011). Association between polymorphisms of PlARK16 gene and susceptibility to Parkinson's disease in Chinese Han population. Chin J Neurol. 44(5). 343–346. 2 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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