Ribo Tang

3.0k total citations
150 papers, 1.8k citations indexed

About

Ribo Tang is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Ribo Tang has authored 150 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Cardiology and Cardiovascular Medicine, 13 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Ribo Tang's work include Atrial Fibrillation Management and Outcomes (123 papers), Cardiac Arrhythmias and Treatments (100 papers) and Cardiac electrophysiology and arrhythmias (45 papers). Ribo Tang is often cited by papers focused on Atrial Fibrillation Management and Outcomes (123 papers), Cardiac Arrhythmias and Treatments (100 papers) and Cardiac electrophysiology and arrhythmias (45 papers). Ribo Tang collaborates with scholars based in China, Australia and United States. Ribo Tang's co-authors include Jianzeng Dong, Changsheng Ma, Deyong Long, Ronghui Yu, Caihua Sang, Chenxi Jiang, Rong Bai, Nian Liu, Xingpeng Liu and Xueyuan Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Stroke.

In The Last Decade

Ribo Tang

142 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ribo Tang China 22 1.6k 159 114 107 96 150 1.8k
Deyong Long China 23 1.5k 1.0× 141 0.9× 142 1.2× 111 1.0× 95 1.0× 166 1.7k
Ronghui Yu China 21 1.3k 0.8× 113 0.7× 132 1.2× 79 0.7× 84 0.9× 116 1.4k
Koichi Sagara Japan 22 1.2k 0.8× 233 1.5× 127 1.1× 110 1.0× 199 2.1× 67 1.4k
Caihua Sang China 19 1.2k 0.8× 98 0.6× 110 1.0× 117 1.1× 71 0.7× 134 1.3k
Marija Polovina Serbia 19 914 0.6× 100 0.6× 93 0.8× 124 1.2× 86 0.9× 55 1.1k
Alena Shantsila United Kingdom 25 1.4k 0.9× 172 1.1× 189 1.7× 171 1.6× 149 1.6× 94 1.8k
Mário Oliveira Portugal 15 1.1k 0.7× 244 1.5× 102 0.9× 76 0.7× 86 0.9× 156 1.2k
Ilaria Cavallari Italy 17 641 0.4× 163 1.0× 206 1.8× 109 1.0× 52 0.5× 63 944
Bülent Özin Türkiye 19 838 0.5× 281 1.8× 71 0.6× 140 1.3× 189 2.0× 101 1.2k
Yun Gi Kim South Korea 21 890 0.6× 135 0.8× 89 0.8× 83 0.8× 106 1.1× 83 1.2k

Countries citing papers authored by Ribo Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ribo Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ribo Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ribo Tang. A scholar is included among the top collaborators of Ribo Tang 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 Ribo Tang. Ribo Tang 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.
Lai, Yiwei, Mingyang Gao, Qifan Li, et al.. (2024). Characteristics of Right-Sided Accessory Pathways Associated With Right Cardiac Veins. Circulation Arrhythmia and Electrophysiology. 17(5). e012513–e012513.
2.
Jiang, Chenxi, Mengmeng Li, Ribo Tang, et al.. (2024). Transseptal approach versus retrograde aortic approach in mapping and ablation of ventricular arrhythmias from anterolateral papillary muscles. Journal of Cardiovascular Electrophysiology. 35(10). 1913–1920.
3.
4.
Gao, Mingyang, Yiwei Lai, Qi Guo, et al.. (2023). Catheter ablation of atrial fibrillation in patients with autoimmune disease: A propensity score matching study based on the China Atrial Fibrillation Registry. Clinical Cardiology. 46(7). 801–809. 2 indexed citations
5.
Wang, Yufeng, Chao Jiang, Liu He, et al.. (2023). The ABC-Death Score for Mortality Prediction in Patients With Atrial Fibrillation Undergoing Catheter Ablation. JACC Asia. 3(5). 790–801. 1 indexed citations
6.
Lai, Yiwei, Qi Guo, Caihua Sang, et al.. (2022). Revisiting the characteristics and ablation strategy of biatrial tachycardias: a case series and systematic review. EP Europace. 25(3). 905–913. 11 indexed citations
8.
Gao, Mingyang, Yiwei Lai, Qi Guo, et al.. (2022). The adjunctive effect for left pulmonary vein isolation of vein of Marshall ethanol infusion in persistent atrial fibrillation. EP Europace. 25(2). 441–449. 12 indexed citations
9.
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
10.
11.
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
12.
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
13.
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
14.
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
15.
Li, Weiju, et al.. (2011). Cigarette smoking inhibits the anti-platelet activity of aspirin in patients with coronary heart disease.. PubMed. 124(10). 1569–72. 15 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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