Ronghui Yu

2.2k total citations
116 papers, 1.4k citations indexed

About

Ronghui Yu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Internal Medicine. According to data from OpenAlex, Ronghui Yu has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 8 papers in Internal Medicine. Recurrent topics in Ronghui Yu's work include Atrial Fibrillation Management and Outcomes (97 papers), Cardiac Arrhythmias and Treatments (79 papers) and Cardiac electrophysiology and arrhythmias (39 papers). Ronghui Yu is often cited by papers focused on Atrial Fibrillation Management and Outcomes (97 papers), Cardiac Arrhythmias and Treatments (79 papers) and Cardiac electrophysiology and arrhythmias (39 papers). Ronghui Yu collaborates with scholars based in China, United States and Australia. Ronghui Yu's co-authors include Jianzeng Dong, Deyong Long, Ribo Tang, Changsheng Ma, Caihua Sang, Xingpeng Liu, Chenxi Jiang, Rong Bai, Nian Liu and Man Ning and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Ronghui Yu

110 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronghui Yu China 21 1.3k 132 113 89 84 116 1.4k
Deyong Long China 23 1.5k 1.2× 142 1.1× 141 1.2× 92 1.0× 95 1.1× 166 1.7k
Caihua Sang China 19 1.2k 0.9× 110 0.8× 98 0.9× 78 0.9× 71 0.8× 134 1.3k
Euijae Lee South Korea 17 623 0.5× 76 0.6× 131 1.2× 67 0.8× 70 0.8× 40 971
Ilaria Cavallari Italy 17 641 0.5× 206 1.6× 163 1.4× 47 0.5× 52 0.6× 63 944
Michał Mazurek Poland 17 651 0.5× 110 0.8× 79 0.7× 31 0.3× 59 0.7× 57 869
Matthias K. Freynhofer Austria 18 430 0.3× 106 0.8× 175 1.5× 58 0.7× 41 0.5× 50 732
Michael Efremidis Greece 20 1.4k 1.1× 74 0.6× 104 0.9× 33 0.4× 73 0.9× 109 1.5k
Lucian Petrescu Romania 13 679 0.5× 66 0.5× 57 0.5× 63 0.7× 139 1.7× 42 802
Miklós Rohla Austria 15 419 0.3× 100 0.8× 125 1.1× 38 0.4× 44 0.5× 54 605
Jason A. Sherer United States 5 699 0.5× 51 0.4× 54 0.5× 30 0.3× 80 1.0× 8 862

Countries citing papers authored by Ronghui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ronghui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghui Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ronghui Yu. A scholar is included among the top collaborators of Ronghui Yu 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 Ronghui Yu. Ronghui Yu 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
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Jiang, Chenxi, Deyong Long, Liu He, et al.. (2022). Repeat ablation strategy for recurrent persistent atrial fibrillation: A propensity‐matched score comparison between “2C3L” and “extensive ablation” approach. Pacing and Clinical Electrophysiology. 45(12). 1349–1356. 2 indexed citations
5.
Zhao, Xin, Jianfeng Liu, Xin Su, et al.. (2022). Direct autotransfusion in the management of acute pericardial tamponade during catheter ablation for atrial fibrillation: An imperfect but practical method. Frontiers in Cardiovascular Medicine. 9. 984251–984251.
6.
Dong, Jianzeng, Xin Du, Jiahui Wu, et al.. (2020). Relationship Between Ablation Lesion Size Estimated by Ablation Index and Different Ablation Settings—an Ex Vivo Porcine Heart Study. Journal of Cardiovascular Translational Research. 13(6). 965–969. 12 indexed citations
7.
Du, Xin, Yu Jia, Jiahui Wu, et al.. (2019). A Long-Term Cost-Effectiveness Analysis Comparing Radiofrequency Catheter Ablation with Antiarrhythmic Drugs in Treatment of Chinese Patients with Atrial Fibrillation. American Journal of Cardiovascular Drugs. 19(6). 569–577. 5 indexed citations
8.
Chen, Xuan, Jianzeng Dong, Xin Du, et al.. (2018). Long‐term outcome of catheter ablation for atrial fibrillation in patients with apical hypertrophic cardiomyopathy. Journal of Cardiovascular Electrophysiology. 29(7). 951–957. 11 indexed citations
9.
Lin, Hui, Rong Bai, Songnan Wen, et al.. (2017). Safety of catheter ablation for atrial fibrillation in patients with intracranial hemorrhage. Herz. 43(2). 169–176. 1 indexed citations
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Yao, Yan, Rong Bai, Zhenhua Lü, et al.. (2016). Plasma homocysteine levels predict early recurrence after catheter ablation of persistent atrial fibrillation. EP Europace. 19(1). euw081–euw081. 25 indexed citations
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Guo, Xueyuan, Na Li, Xin Du, et al.. (2016). Atrial fibrillation is associated with an increased risk of myocardial infarction: Insights from a meta-analysis. Atherosclerosis. 254. 1–7. 16 indexed citations
12.
Wen, Songnan, Nian Liu, Songnan Li, et al.. (2015). [Predictors of atrial fibrillation recurrence after catheter ablation in hypertrophic cardiomyopathy patients with atrial fibrillation].. PubMed. 43(7). 589–94. 1 indexed citations
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Tang, Ribo, Xueliang Yan, Jianzeng Dong, et al.. (2014). Predictors of recurrence after a repeat ablation procedure for paroxysmal atrial fibrillation: role of left atrial enlargement. EP Europace. 16(11). 1569–1574. 25 indexed citations
14.
Bai, Rong, Yan Yao, Ronghui Yu, et al.. (2014). HbA1c levels as predictors of ablation outcome in type 2 diabetes mellitus and paroxysmal atrial fibrillation. Herz. 40(S2). 130–136. 36 indexed citations
15.
Li, Songnan, Shuanglun Xie, Zhijun Zhang, et al.. (2013). Serum uric acid levels correlate with recurrence of paroxysmal atrial fibrillation after catheter ablation. Chinese Medical Journal. 126(5). 860–864. 21 indexed citations
16.
Liu, Xingpeng, Jianzeng Dong, Siew Yen Ho, et al.. (2010). Atrial Tachycardia Arising Adjacent to Noncoronary Aortic Sinus. Journal of the American College of Cardiology. 56(10). 796–804. 38 indexed citations
17.
Tang, Ribo, Jianzeng Dong, Xingpeng Liu, et al.. (2009). Metabolic Syndrome and Risk of Recurrence of Atrial Fibrillation After Catheter Ablation(Arrhythmia/Electrophysiology). Japanese Circulation Journal-english Edition. 73(3). 438–443. 3 indexed citations
18.
Tang, Ribo, Lingyun Gao, Jianzeng Dong, et al.. (2009). Metabolic syndrome in patients with atrial fibrillation in the absence of structural heart disease from a tertiary hospital in China. Chinese Medical Journal. 122(22). 2744–2747. 8 indexed citations
19.
Ma, Changsheng, Xingpeng Liu, Jianzeng Dong, et al.. (2008). Predictors of Very Late Recurrence of Atrial Fibrillation After Circumferential Pulmonary Vein Ablation. Clinical Cardiology. 31(10). 463–468. 26 indexed citations
20.
Yu, Ronghui, Jianzeng Dong, Xingpeng Liu, et al.. (2007). Characteristics in Image Integration System Guiding Catheter Ablation of Atrial Fibrillation with a Common Ostium of Inferior Pulmonary Veins. Pacing and Clinical Electrophysiology. 31(1). 93–98. 12 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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