Zuo‐Ying Hu

901 total citations
43 papers, 707 citations indexed

About

Zuo‐Ying Hu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zuo‐Ying Hu has authored 43 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 18 papers in Surgery and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zuo‐Ying Hu's work include Coronary Interventions and Diagnostics (10 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Zuo‐Ying Hu is often cited by papers focused on Coronary Interventions and Diagnostics (10 papers), Cardiac Imaging and Diagnostics (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Zuo‐Ying Hu collaborates with scholars based in China, United States and Thailand. Zuo‐Ying Hu's co-authors include Ingrid Jung‐Testas, E.E. Baulieu, Eliane Bourreau, P Röbel, Shao‐Liang Chen, Peng Ye, Xiao‐Min Ren, Li Zhao, Junjie Zhang and Fei Ye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Pharmacology & Therapeutics.

In The Last Decade

Zuo‐Ying Hu

41 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zuo‐Ying Hu China 13 274 189 136 130 121 43 707
Liliana G. Bianciotti Argentina 17 303 1.1× 337 1.8× 121 0.9× 197 1.5× 99 0.8× 82 1.0k
Kristy L. Jackson Australia 18 215 0.8× 181 1.0× 99 0.7× 36 0.3× 146 1.2× 57 787
Jeffrey P. Moore United States 12 145 0.5× 381 2.0× 126 0.9× 95 0.7× 51 0.4× 13 980
P. Senanayake United States 14 316 1.2× 267 1.4× 117 0.9× 101 0.8× 183 1.5× 23 772
Cesaria Prontera Italy 10 133 0.5× 169 0.9× 88 0.6× 127 1.0× 29 0.2× 10 677
Tsuyoshi Hattori Japan 9 150 0.5× 288 1.5× 67 0.5× 96 0.7× 49 0.4× 27 680
Wael Eldahshan United States 14 189 0.7× 243 1.3× 28 0.2× 120 0.9× 58 0.5× 18 752
M. B. Vallotton Switzerland 15 180 0.7× 319 1.7× 96 0.7× 74 0.6× 203 1.7× 41 722
Hitomi Shinoura Japan 14 81 0.3× 434 2.3× 39 0.3× 225 1.7× 117 1.0× 21 702
Stefan Gorbey Germany 8 122 0.4× 352 1.9× 48 0.4× 46 0.4× 36 0.3× 10 711

Countries citing papers authored by Zuo‐Ying Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zuo‐Ying Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zuo‐Ying Hu. 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 Zuo‐Ying Hu. The network helps show where Zuo‐Ying Hu may publish in the future.

Co-authorship network of co-authors of Zuo‐Ying Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Zuo‐Ying Hu. A scholar is included among the top collaborators of Zuo‐Ying Hu 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 Zuo‐Ying Hu. Zuo‐Ying Hu 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.
Tu, Bin, Zhuxin Zhang, Zuo‐Ying Hu, et al.. (2025). The Efficacy of Left Atrial vs Biatrial Cardioneuroablation in Patients With Vasovagal Syncope. JACC. Clinical electrophysiology. 11(6). 1265–1276. 2 indexed citations
2.
Hu, Zuo‐Ying, Lingmin Wu, Yuandong Niu, et al.. (2025). Lipoprotein(a) elevation independently associates with incident atrial fibrillation irrespective of inflammatory status. Heart Rhythm. 22(12). e1146–e1154.
3.
Hu, Zuo‐Ying, Lingmin Wu, Yuandong Niu, et al.. (2025). Fatty liver index increases the risk of sudden cardiac arrest in cardiovascular disease–free adults. Heart Rhythm.
4.
Kang, Jing, et al.. (2024). Effects of debt dynamics and financial literacy on consumer market behavior. Finance research letters. 72. 106541–106541. 3 indexed citations
5.
Zuo, Guang‐Feng, Liguo Wang, Yifei Ren, et al.. (2023). TAX1BP1 downregulation by STAT3 in cardiac fibroblasts contributes to diabetes-induced heart failure with preserved ejection fraction. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(2). 166979–166979. 2 indexed citations
6.
Zhao, Na, et al.. (2021). Ivabradine Ameliorates Cardiac Diastolic Dysfunction in Diabetic Mice Independent of Heart Rate Reduction. Frontiers in Pharmacology. 12. 696635–696635. 1 indexed citations
7.
8.
Zuo, Guang‐Feng, Xiao‐Min Ren, Jie Luo, et al.. (2019). Activation of the PP2A catalytic subunit by ivabradine attenuates the development of diabetic cardiomyopathy. Journal of Molecular and Cellular Cardiology. 130. 170–183. 10 indexed citations
9.
Zhao, Li, et al.. (2019). LCZ696, an angiotensin receptor-neprilysin inhibitor, ameliorates diabetic cardiomyopathy by inhibiting inflammation, oxidative stress and apoptosis. Experimental Biology and Medicine. 244(12). 1028–1039. 68 indexed citations
10.
Hu, Zuo‐Ying, et al.. (2018). Ivabradine improved left ventricular function and pressure overload-induced cardiomyocyte apoptosis in a transverse aortic constriction mouse model. Molecular and Cellular Biochemistry. 450(1-2). 25–34. 21 indexed citations
11.
12.
Jiang, Xiaomin, Juan Zhang, Bing Li, et al.. (2016). Pulmonary artery denervation improves pulmonary arterial hypertension induced right ventricular dysfunction by modulating the local renin-angiotensin-aldosterone system. BMC Cardiovascular Disorders. 16(1). 192–192. 29 indexed citations
13.
14.
Zhang, Hang, et al.. (2014). The Left Ventricular Lead Electrical Delay Predicts Response to Cardiac Resynchronisation Therapy. Heart Lung and Circulation. 23(10). 936–942. 3 indexed citations
15.
Xu, Tian, Junjie Zhang, Fei Ye, et al.. (2011). Angioscopy study from a large patient population comparing sirolimus‐eluting stent with biodegradable versus durable polymer. Catheterization and Cardiovascular Interventions. 80(3). 420–428. 8 indexed citations
16.
Chen, Shao‐Liang, Gary S. Mintz, Jing Kan, et al.. (2011). Serial intravascular ultrasound analysis comparing double kissing and classical crush stenting for coronary bifurcation lesions. Catheterization and Cardiovascular Interventions. 78(5). 729–736. 18 indexed citations
17.
Hu, Zuo‐Ying, Shao-Liang Chen, Junjie Zhang, et al.. (2010). Distribution and Magnitude of Shear Stress after Coronary Bifurcation Lesions Stenting with the Classical Crush Technique: A New Predictor for In‐Stent Restenosis. Journal of Interventional Cardiology. 23(4). 330–340. 13 indexed citations
18.
Hu, Zuo‐Ying, Fei Ye, Tak Kwan, et al.. (2010). Contradictory Shear Stress Distribution Prevents Restenosis after Provisional Stenting for Bifurcation Lesions. Journal of Interventional Cardiology. 23(4). 319–329. 3 indexed citations
19.
Xie, Hong‐Guang, Jianjun Zou, Zuo‐Ying Hu, et al.. (2010). Individual variability in the disposition of and response to clopidogrel: Pharmacogenomics and beyond. Pharmacology & Therapeutics. 129(3). 267–289. 53 indexed citations
20.
Hu, Zuo‐Ying, et al.. (1987). [Preliminary study on the detection of tuberculosis antibodies in ascites with enzyme-linked immunosorbent].. PubMed. 26(3). 146–90. 1 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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