Yixiu Liang

983 total citations
41 papers, 692 citations indexed

About

Yixiu Liang is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Yixiu Liang has authored 41 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 6 papers in Neurology and 4 papers in Molecular Biology. Recurrent topics in Yixiu Liang's work include Cardiac pacing and defibrillation studies (26 papers), Cardiac Arrhythmias and Treatments (23 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Yixiu Liang is often cited by papers focused on Cardiac pacing and defibrillation studies (26 papers), Cardiac Arrhythmias and Treatments (23 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Yixiu Liang collaborates with scholars based in China, United States and United Kingdom. Yixiu Liang's co-authors include Xueying Chen, Jingfeng Wang, Shengmei Qin, Jin Bai, Yangang Su, Junbo Ge, Haiyan Chen, Ziqing Yu, Wei Wang and Junbo Ge and has published in prestigious journals such as Journal of Neuroscience, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Yixiu Liang

36 papers receiving 685 citations

Peers

Yixiu Liang
Andrea López-López Spain
Roberto Rordorf Italy
Mario Pergolini Italy
Karol Čurila Czechia
Carl Hayward United Kingdom
Steven J. Lavine United States
Wayne O. Adkisson United States
Campbell Liles United States
Lucy Barone Italy
Andrea López-López Spain
Yixiu Liang
Citations per year, relative to Yixiu Liang Yixiu Liang (= 1×) peers Andrea López-López

Countries citing papers authored by Yixiu Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yixiu Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixiu Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yixiu Liang. A scholar is included among the top collaborators of Yixiu Liang 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 Yixiu Liang. Yixiu Liang 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.
Liang, Yixiu, Arunashis Sau, Joseph Barker, et al.. (2025). Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study. European Heart Journal. 46(44). 4823–4837. 2 indexed citations
2.
Xiang, Wei, Peng Li, Ruizhen Chen, et al.. (2025). Impact of N-acetyltransferase 10 on macrophage activation and inflammation-induced cardiac dysfunction. Cell Death and Disease. 16(1). 471–471. 1 indexed citations
3.
Yang, Lifan, Xueying Chen, Ying Fang, et al.. (2025). Rate-adaptive pacing in right-sided heart failure with tricuspid regurgitation: A prospective pilot study. International Journal of Cardiology. 443. 133957–133957.
4.
Dong, Lili, Yongshi Wang, Dehong Kong, et al.. (2024). Feasibility validation of automatic diagnosis of mitral valve prolapse from multi-view echocardiographic sequences based on deep neural network. PubMed. 2(4). qyae086–qyae086. 1 indexed citations
5.
Xiang, Wei, Minghui Li, Ruizhen Chen, et al.. (2023). Myeloid-specific deletion of Capns1 attenuates myocardial infarction injury via restoring mitochondrial function and inhibiting inflammasome activation.. Journal of Molecular and Cellular Cardiology. 183. 54–66. 4 indexed citations
6.
Chen, Xueying, Qinchun Jin, Zhaohui Qiu, et al.. (2023). Outcomes of Upgrading to LBBP in CRT Nonresponders. JACC. Clinical electrophysiology. 10(1). 108–120. 11 indexed citations
7.
Liang, Yixiu, Jingfeng Wang, Xue Gong, et al.. (2022). Left Bundle Branch Pacing Versus Biventricular Pacing for Acute Cardiac Resynchronization in Patients With Heart Failure. Circulation Arrhythmia and Electrophysiology. 15(11). e011181–e011181. 32 indexed citations
8.
Zhang, Zhiwei, Yixiu Liang, Ziqing Yu, et al.. (2022). Role of the Gut Microbiota in Glucose Metabolism During Heart Failure. Frontiers in Cardiovascular Medicine. 9. 903316–903316. 6 indexed citations
9.
10.
Yu, Ziqing, Yixiu Liang, Yucheng Wang, et al.. (2022). Risk Factors of Pacing Dependence and Cardiac Dysfunction in Patients with Permanent Pacemaker Implantation. ESC Heart Failure. 9(4). 2325–2335. 3 indexed citations
11.
Shali, Shalaimaiti, Weiyun Wu, Jin Bai, et al.. (2022). Current of injury is an indicator of lead depth and performance during left bundle branch pacing lead implantation. Heart Rhythm. 19(8). 1281–1288. 19 indexed citations
12.
Liang, Yixiu, Ruifeng Ding, Jingfeng Wang, et al.. (2021). Prediction of response after cardiac resynchronization therapy with machine learning. International Journal of Cardiology. 344. 120–126. 13 indexed citations
13.
Chen, Xueying, Jingfeng Wang, Yixiu Liang, Yangang Su, & Junbo Ge. (2021). Pericardial effusion caused by accidently placing a Micra transcatheter pacing system into the coronary sinus. BMC Cardiovascular Disorders. 21(1). 461–461. 1 indexed citations
14.
Gong, Xue, Zhonghan Sun, Zheyong Huang, et al.. (2020). Circulating metabolite profiles to predict response to cardiac resynchronization therapy. BMC Cardiovascular Disorders. 20(1). 178–178. 3 indexed citations
15.
Chen, Xueying, Jingfeng Wang, Shengmei Qin, et al.. (2019). The feasibility and efficacy of His-Purkinje system pacing in chronic heart failure with permanent atrial fibrillation. 23(5). 405–410.
16.
Liang, Yixiu, Yangang Su, & Junbo Ge. (2018). COMPARISON BETWEEN CARDIAC RESYNCHRONIZATION THERAPY WITH AND WITHOUT DEFIBRILLATOR ON LONG-TERM MORTALITY: A PROPENSITY SCORE MATCHED ANALYSIS. Journal of the American College of Cardiology. 71(11). A442–A442. 1 indexed citations
17.
Yu, Ziqing, Ruizhen Chen, Minghui Li, et al.. (2018). Mitochondrial calcium uniporter inhibition provides cardioprotection in pressure overload-induced heart failure through autophagy enhancement. International Journal of Cardiology. 271. 161–168. 51 indexed citations
18.
Nie, Yuxin, Jianzhou Zou, Yixiu Liang, et al.. (2016). Electrocardiographic Abnormalities and QTc Interval in Patients Undergoing Hemodialysis. PLoS ONE. 11(5). e0155445–e0155445. 24 indexed citations
19.
Xu, Xiaolin, Xuwei Hou, Yixiu Liang, et al.. (2014). The Gene Polymorphism of LOX1 Predicts the Incidence of LVH in Patients with Essential Hypertension. Cellular Physiology and Biochemistry. 33(1). 88–96. 13 indexed citations
20.
Liang, Yixiu, Wenzhi Pan, Yangang Su, & Junbo Ge. (2011). Meta-Analysis of Randomized Controlled Trials Comparing Isolated Left Ventricular and Biventricular Pacing in Patients With Chronic Heart Failure. The American Journal of Cardiology. 108(8). 1160–1165. 23 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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