Jiangtao Yan

601 total citations
23 papers, 460 citations indexed

About

Jiangtao Yan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Jiangtao Yan has authored 23 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cancer Research. Recurrent topics in Jiangtao Yan's work include Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and RNA regulation and disease (3 papers). Jiangtao Yan is often cited by papers focused on Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (4 papers) and RNA regulation and disease (3 papers). Jiangtao Yan collaborates with scholars based in China, United States and Canada. Jiangtao Yan's co-authors include Dao Wen Wang, Hu Ding, Rutai Hui, Dating Sun, Cong‐Yi Wang, Yujun Xu, Xiaojing Wang, Hu Wang, Bin Wu and John R. Shaffer and has published in prestigious journals such as Circulation Research, Annals of Neurology and International Journal of Molecular Sciences.

In The Last Decade

Jiangtao Yan

22 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangtao Yan China 12 159 106 90 80 66 23 460
John Pirault France 12 133 0.8× 51 0.5× 75 0.8× 60 0.8× 123 1.9× 15 568
Johnny Nehmé France 9 110 0.7× 81 0.8× 155 1.7× 150 1.9× 95 1.4× 10 478
C. Adamy France 11 207 1.3× 40 0.4× 209 2.3× 34 0.4× 85 1.3× 13 528
Ferhan Siddiqi Canada 11 280 1.8× 21 0.2× 46 0.5× 91 1.1× 63 1.0× 22 560
Giovanna Baccante Italy 15 172 1.1× 23 0.2× 116 1.3× 39 0.5× 95 1.4× 19 546
Ricardo Buitrago Colombia 8 192 1.2× 72 0.7× 261 2.9× 61 0.8× 177 2.7× 26 751
Masahiko Kushiro Japan 10 121 0.8× 33 0.3× 112 1.2× 145 1.8× 65 1.0× 13 675
Erik R. Walp United States 13 244 1.5× 56 0.5× 139 1.5× 108 1.4× 262 4.0× 14 680
Anaïs Dumesnil France 10 212 1.3× 27 0.3× 175 1.9× 78 1.0× 134 2.0× 20 529
Jennifer Kleinhenz United States 11 280 1.8× 88 0.8× 82 0.9× 23 0.3× 62 0.9× 18 616

Countries citing papers authored by Jiangtao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jiangtao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangtao Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangtao Yan. A scholar is included among the top collaborators of Jiangtao Yan 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 Jiangtao Yan. Jiangtao Yan 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.
He, Yi, et al.. (2025). Unraveling the association and regulatory role of miR-146b-5p in coronary artery disease. BMC Cardiovascular Disorders. 25(1). 81–81. 1 indexed citations
2.
Li, Zhou, et al.. (2024). CircSMAD3 represses VSMC phenotype switching and neointima formation via promoting hnRNPA1 ubiquitination degradation. Cell Proliferation. 58(1). e13742–e13742. 4 indexed citations
3.
Li, Zhou, et al.. (2024). Circular RNA in Cardiovascular Diseases: Biogenesis, Function and Application. Biomolecules. 14(8). 952–952. 5 indexed citations
4.
Zhou, Li, Jing Wang, Qianqian Xiao, et al.. (2024). CircSMAD3 represses SMAD3 phosphorylation and ameliorates cardiac remodeling by recruiting YBX1. iScience. 27(7). 110200–110200.
5.
Li, Zhou, et al.. (2023). Liquid–Liquid Phase Separation Sheds New Light upon Cardiovascular Diseases. International Journal of Molecular Sciences. 24(20). 15418–15418. 4 indexed citations
6.
Sun, Dating, Hui Xiang, Jiangtao Yan, & Liqun He. (2022). Intestinal microbiota: A promising therapeutic target for hypertension. Frontiers in Cardiovascular Medicine. 9. 970036–970036. 18 indexed citations
7.
Yang, Hong, Rui Li, Wei Ye, et al.. (2022). An Echo Score Raises the Suspicion of Cardiac Amyloidosis in Chinese with Heart Failure with Preserved Ejection Fraction. ESC Heart Failure. 9(6). 4280–4290. 5 indexed citations
8.
Sun, Dating, Xiang Gui, Jing Wang, et al.. (2020). miRNA 146b-5p Protects Against Atherosclerosis by Inhibiting Vascular Smooth Muscle Cell Proliferation and Migration. Epigenomics. 12(24). 2189–2204. 18 indexed citations
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Yu, Dan, Ling Tang, Ziye Dong, et al.. (2018). Effective reduction of non-specific binding of blood cells in a microfluidic chip for isolation of rare cancer cells. Biomaterials Science. 6(11). 2871–2880. 20 indexed citations
12.
Chen, Liang, Lei Lei, Tianyu Li, Jiangtao Yan, & Jiangang Jiang. (2018). A20 alleviates the vascular remodeling induced by homocysteine.. PubMed. 10(12). 3991–4003. 3 indexed citations
13.
Sun, Dating, Hu Ding, Chunxia Zhao, et al.. (2017). Value of SOFA, APACHE IV and SAPS II scoring systems in predicting short-term mortality in patients with acute myocarditis. Oncotarget. 8(38). 63073–63083. 23 indexed citations
14.
Cai, Zhejun, Gang Zhao, Jiangtao Yan, et al.. (2013). CYP2J2 overexpression increases EETs and protects against angiotensin II-induced abdominal aortic aneurysm in mice. Journal of Lipid Research. 54(5). 1448–1456. 55 indexed citations
15.
Zhang, Qin, Hu Ding, Jiangtao Yan, et al.. (2011). Plasma tissue kallikrein level is negatively associated with incident and recurrent stroke: A multicenter case–control study in China. Annals of Neurology. 70(2). 265–273. 30 indexed citations
16.
Yan, Jiangtao, James K. Liao, & Dao Wen Wang. (2010). Elevated homocysteine and C-reactive protein levels independently predict worsening prognosis after stroke in Chinese patients. Journal of Huazhong University of Science and Technology [Medical Sciences]. 30(5). 643–647. 12 indexed citations
17.
Wang, Qi, Hu Ding, Jiarong Tang, et al.. (2009). C-reactive protein polymorphisms and genetic susceptibility to ischemic stroke and hemorrhagic stroke in the Chinese Han population. Acta Pharmacologica Sinica. 30(3). 291–298. 40 indexed citations
18.
Ding, Hu, Yujun Xu, Xiaojing Wang, et al.. (2009). 9p21 is a Shared Susceptibility Locus Strongly for Coronary Artery Disease and Weakly for Ischemic Stroke in Chinese Han Population. Circulation Cardiovascular Genetics. 2(4). 338–346. 64 indexed citations
19.
Yan, Jiangtao, Tao Wang, & Dao Wen Wang. (2009). Recombinant adeno-associated virus-mediated human kallikrein gene therapy protects against hypertensive target organ injuries through inhibiting cell apoptosis. Acta Pharmacologica Sinica. 30(9). 1253–1261. 7 indexed citations
20.
Ding, Hu, Jiangtao Yan, Rutai Hui, et al.. (2008). Genetic variation in cytochrome P450 2J2 and soluble epoxide hydrolase and risk of ischemic stroke in a Chinese population. Pharmacogenetics and Genomics. 18(1). 45–51. 59 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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