Gang Yang

1.7k total citations
84 papers, 961 citations indexed

About

Gang Yang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Neurology. According to data from OpenAlex, Gang Yang has authored 84 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 6 papers in Neurology. Recurrent topics in Gang Yang's work include Cardiac Arrhythmias and Treatments (59 papers), Atrial Fibrillation Management and Outcomes (52 papers) and Cardiac electrophysiology and arrhythmias (42 papers). Gang Yang is often cited by papers focused on Cardiac Arrhythmias and Treatments (59 papers), Atrial Fibrillation Management and Outcomes (52 papers) and Cardiac electrophysiology and arrhythmias (42 papers). Gang Yang collaborates with scholars based in China, United States and Singapore. Gang Yang's co-authors include Minglong Chen, Bing Yang, Hongwu Chen, Weizhu Ju, Mingfang Li, Kai Gu, Fengxiang Zhang, Yazhou Lin, Kejiang Cao and Pipin Kojodjojo and has published in prestigious journals such as Stroke, ACS Applied Materials & Interfaces and Frontiers in Psychology.

In The Last Decade

Gang Yang

75 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Yang China 17 588 87 77 69 65 84 961
Jun Hyun Kim South Korea 18 118 0.2× 185 2.1× 43 0.6× 90 1.3× 46 0.7× 79 783
Takahiro Suzuki Japan 16 194 0.3× 442 5.1× 81 1.1× 37 0.5× 69 1.1× 92 980
Yongxing Zhang China 15 264 0.4× 231 2.7× 28 0.4× 71 1.0× 116 1.8× 45 1.1k
Shigenori Ito Japan 13 206 0.4× 86 1.0× 58 0.8× 24 0.3× 8 0.1× 43 546
Jie Lu China 14 88 0.1× 42 0.5× 22 0.3× 78 1.1× 39 0.6× 47 548
Jerold S. Shinbane United States 18 1.3k 2.3× 344 4.0× 23 0.3× 186 2.7× 36 0.6× 52 1.8k
Seung Hun Lee South Korea 16 86 0.1× 46 0.5× 63 0.8× 17 0.2× 11 0.2× 77 688
Sundeep Mishra India 18 415 0.7× 374 4.3× 18 0.2× 151 2.2× 17 0.3× 62 843
Woojin Kim South Korea 17 83 0.1× 58 0.7× 26 0.3× 46 0.7× 27 0.4× 65 1.3k
Stefan Büchner Germany 23 780 1.3× 191 2.2× 85 1.1× 77 1.1× 6 0.1× 77 1.5k

Countries citing papers authored by Gang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Gang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Yang. A scholar is included among the top collaborators of Gang Yang 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 Gang Yang. Gang Yang 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.
Ju, Weizhu, Linlin Wang, Xiaohong Jiang, et al.. (2025). Impact of Different Pacing Sites on Pre‐Implantation Screening Test of Subcutaneous Implantable Cardioverter Defibrillators. Journal of Cardiovascular Electrophysiology. 37(2). 331–337.
2.
Wu, Nan, Wenjie Liu, Jinlin Zhang, et al.. (2025). High-density mapping of upper loop macroreentry surrounding the superior vena cava: Substrate-evolved ablation strategy. Heart Rhythm. 23(3). 552–562.
3.
Wang, Lei, Weizhu Ju, Fangyi Xiao, et al.. (2024). RV1+RV3 Index to Differentiate Idiopathic Ventricular Arrhythmias Arising From Right Ventricular Outflow Tract and Aortic Sinus of Valsalva: A Multicenter Study. Journal of the American Heart Association. 13(7). e033779–e033779. 1 indexed citations
4.
Wang, Kexin, Hongwu Chen, Gang Yang, et al.. (2023). General anesthesia enhances lesion quality and ablation efficiency of circumferential pulmonary vein isolation. Journal of Arrhythmia. 40(1). 76–82. 5 indexed citations
5.
6.
7.
Cui, Chang, Zhaomin Li, Weizhu Ju, et al.. (2022). The characteristics of pre‐excitation syndrome concomitant with atrial tachyarrhythmia and the effect of radiofrequency ablation. Pacing and Clinical Electrophysiology. 45(12). 1401–1408.
8.
Wang, Shixin, et al.. (2022). Catheter ablation of atrial tachycardia originated from the left atrial epicardium. Pacing and Clinical Electrophysiology. 45(11). 1303–1305.
9.
Liu, Hailei, Mingfang Li, Chengzong Li, et al.. (2021). Nonatrial Fibrillation Patients With Complete P Wave Disappearance. Stroke. 52(3). 1074–1078. 4 indexed citations
10.
Jiang, Qi, Dingxin Qin, Ling Yang, et al.. (2021). Causal effects of plasma lipids on the risk of atrial fibrillation: A multivariable mendelian randomization study. Nutrition Metabolism and Cardiovascular Diseases. 31(5). 1569–1578. 21 indexed citations
11.
Yang, Gang, Yongfeng Shao, Buqing Ni, et al.. (2021). Surgical ablation supplemented by ethanol injection for ventricular tachycardia refractory to percutaneous ablation. Journal of Cardiovascular Electrophysiology. 32(9). 2462–2470. 1 indexed citations
12.
Gu, Kai, Cheng Cai, Buqing Ni, et al.. (2021). Strategy for Failed Transvenous Left-Ventricular Lead Placement in Cardiac Resynchronization Therapy: Surrender or Struggle?. Cardiology. 147(1). 47–56. 1 indexed citations
13.
Wang, Cheng, Weizhu Ju, Hongwu Chen, et al.. (2020). The clinical and electrophysiological characteristics of nonsustained repetitive monomorphic ventricular tachycardia from the left His‐Purkinje system. Pacing and Clinical Electrophysiology. 43(10). 1149–1155. 1 indexed citations
14.
Zhou, Dongchen, Gang Yang, Hongwu Chen, et al.. (2020). Flutter Wave Morphology of Peri-Mitral Atrial Flutters Is Mainly Determined by Right Atrial Activation. Circulation Arrhythmia and Electrophysiology. 13(9). e008446–e008446. 4 indexed citations
15.
Xu, Qiang, Weizhu Ju, Fangyi Xiao, et al.. (2019). Circumferential pulmonary vein antrum ablation for the treatment of paroxysmal atrial fibrillation: A randomized controlled trial. Pacing and Clinical Electrophysiology. 43(3). 280–288. 5 indexed citations
16.
Shen, Wenzhi, Gang Yang, Hailei Liu, et al.. (2018). Efficacy of sole pulmonary vein isolation in patients with nonparoxysmal atrial fibrillation without significant left atrium scar. Pacing and Clinical Electrophysiology. 41(10). 1356–1361. 2 indexed citations
17.
Yang, Gang, Hongwu Chen, Weizhu Ju, et al.. (2018). An alternative under-valve approach to ablate right-sided accessory pathways. Heart Rhythm. 16(1). 51–56. 8 indexed citations
18.
19.
Wang, Jiaxian, Chang Cui, Haiyan Nan, et al.. (2017). Graphene Sheet-Induced Global Maturation of Cardiomyocytes Derived from Human Induced Pluripotent Stem Cells. ACS Applied Materials & Interfaces. 9(31). 25929–25940. 56 indexed citations
20.
Gu, Kai, Bing Yang, Weizhu Ju, et al.. (2017). What factors lead to the acceleration of ventricular tachycardia during antitachycardia pacing?—Results from over 1000 episodes. Journal of Arrhythmia. 34(1). 36–45. 4 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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