Shaohui Wu

951 total citations
48 papers, 611 citations indexed

About

Shaohui Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Shaohui Wu has authored 48 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Shaohui Wu's work include Atrial Fibrillation Management and Outcomes (24 papers), Cardiac Arrhythmias and Treatments (20 papers) and Cardiac electrophysiology and arrhythmias (14 papers). Shaohui Wu is often cited by papers focused on Atrial Fibrillation Management and Outcomes (24 papers), Cardiac Arrhythmias and Treatments (20 papers) and Cardiac electrophysiology and arrhythmias (14 papers). Shaohui Wu collaborates with scholars based in China and United States. Shaohui Wu's co-authors include Weifeng Jiang, Kai Xu, Xu Liu, Mu Qin, Mu Qin, Xu Liu, Rongjie Lin, Zhongwei Li, Xin Gong and Yuanlong Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemistry.

In The Last Decade

Shaohui Wu

47 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaohui Wu China 14 338 170 86 62 53 48 611
Róbert Sepp Hungary 14 386 1.1× 262 1.5× 88 1.0× 113 1.8× 54 1.0× 54 722
Adam S. Barnett United States 15 341 1.0× 113 0.7× 54 0.6× 52 0.8× 17 0.3× 26 597
Masatsugu Ohtsuki Japan 11 223 0.7× 61 0.4× 101 1.2× 39 0.6× 24 0.5× 31 436
Graciela Romero Argentina 7 261 0.8× 58 0.3× 54 0.6× 42 0.7× 17 0.3× 16 506
Maria L. Aguirre United States 12 67 0.2× 181 1.1× 87 1.0× 62 1.0× 9 0.2× 18 488
Gavin Pereira United States 15 65 0.2× 164 1.0× 466 5.4× 68 1.1× 25 0.5× 27 736
Keisuke Yano Japan 12 60 0.2× 112 0.7× 191 2.2× 31 0.5× 27 0.5× 105 533
Alberto Forteza Spain 16 387 1.1× 40 0.2× 180 2.1× 107 1.7× 253 4.8× 66 720
Mayank Seth United Kingdom 12 233 0.7× 30 0.2× 76 0.9× 61 1.0× 33 0.6× 33 632
María Josefa Fernández del Palacio Spain 14 117 0.3× 72 0.4× 81 0.9× 73 1.2× 33 0.6× 39 481

Countries citing papers authored by Shaohui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohui Wu. A scholar is included among the top collaborators of Shaohui Wu 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 Shaohui Wu. Shaohui Wu 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
2.
Fu, Yumei, Wan Zhao, Shaohui Wu, et al.. (2025). Risk assessment of an Aedes flavivirus and its effect on pathogenic flavivirus replication in mosquitoes. Parasites & Vectors. 18(1). 88–88.
3.
Gao, Di, et al.. (2024). Association between fatty liver index and cardiometabolic multimorbidity: evidence from the cross-sectional national health and nutrition examination survey. Frontiers in Cardiovascular Medicine. 11. 1433807–1433807. 1 indexed citations
4.
Li, Kaige, Xinhua Wang, Ping Ye, et al.. (2023). Multi-centre, prospective randomized comparison of three different substrate ablation strategies for persistent atrial fibrillation. EP Europace. 25(5). 17 indexed citations
5.
Zhang, Feng, Wenbo Chen, Nannan Chen, et al.. (2023). Adjunctive Right Atrial Ablation for Persistent Atrial Fibrillation With Right Atrial Enlargement: A Pilot Study. Canadian Journal of Cardiology. 40(4). 564–572. 4 indexed citations
6.
Qin, Mu, Ziliang Song, Yu Zhang, et al.. (2023). Temporal and Spatial Changes of Proarrhythmic Substrate in Premature Ventricular Contraction–Induced Cardiomyopathy. JACC. Clinical electrophysiology. 9(2). 173–188. 2 indexed citations
7.
Shi, Wenrui, et al.. (2022). Value of estimated glucose disposal rate to detect prevalent left ventricular hypertrophy: implications from a general population. Postgraduate Medicine. 135(1). 58–66. 7 indexed citations
8.
Shi, Wenrui, et al.. (2022). Usefulness of Triglyceride-glucose index for detecting prevalent atrial fibrillation in a type 2 diabetic population. Postgraduate Medicine. 134(8). 820–828. 11 indexed citations
9.
Liu, Yang, Ziliang Song, Weifeng Jiang, et al.. (2022). Right atrial appendage: an important structure to drive atrial fibrillation. Journal of Interventional Cardiac Electrophysiology. 65(1). 73–82. 4 indexed citations
10.
Park, Jieun, et al.. (2022). Usefulness of estimated pulse wave velocity for identifying prevalent coronary heart disease: findings from a general Chinese population. BMC Cardiovascular Disorders. 22(1). 9–9. 11 indexed citations
11.
Shi, Wenrui, Shaohui Wu, Kai Xu, et al.. (2022). A novel approach for quantitative electrogram analysis for driver identification: Implications for ablation in persistent atrial fibrillation. Frontiers in Cardiovascular Medicine. 9. 1049854–1049854. 2 indexed citations
12.
Hu, Xiao, Shaohui Wu, Mu Qin, Weifeng Jiang, & Xu Liu. (2021). Radiofrequency ablation for paroxysmal atrial fibrillation in a patient with dextrocardia and interruption of the inferior vena cava: a case report. European Heart Journal - Case Reports. 5(5). ytab191–ytab191. 4 indexed citations
13.
Zhao, Lan, Weifeng Jiang, Chenxi Yang, et al.. (2021). SOX17 loss-of-function variation underlying familial congenital heart disease. European Journal of Medical Genetics. 64(5). 104211–104211. 12 indexed citations
14.
Song, Ziliang, et al.. (2021). Clinical Safety and Efficacy of Ablation for Atrial Fibrillation Patients With a History of Stroke. Frontiers in Cardiovascular Medicine. 8. 630090–630090. 2 indexed citations
15.
Hu, Xiao, Weifeng Jiang, Shaohui Wu, et al.. (2020). Extra-pulmonary vein driver mapping and ablation for persistent atrial fibrillation in obese patients. EP Europace. 23(5). 701–709. 11 indexed citations
16.
Wu, Shaohui, et al.. (2020). Key Role of Left Atrial Appendage during Redo Ablation in a Case of Long-Standing Persistent Atrial Fibrillation. SHILAP Revista de lepidopterología. 2020. 1–4. 1 indexed citations
17.
Li, Kaige, Mu Qin, Weifeng Jiang, et al.. (2020). Management of Catheter Ablation in Arrhythmia Patients During the Coronavirus Disease 2019 Epidemic. ESC Heart Failure. 7(6). 4032–4039. 4 indexed citations
18.
Qin, Mu, Yu Zhang, Xu Liu, et al.. (2017). Atrial Ganglionated Plexus Modification. JACC. Clinical electrophysiology. 3(9). 950–959. 38 indexed citations
19.
Chen, Xiaohong, et al.. (2017). Role of the MAPKs/TGF-β1/TRAF6 signaling pathway in postoperative atrial fibrillation. PLoS ONE. 12(3). e0173759–e0173759. 11 indexed citations
20.
Zuo, Y., Jianwei Zhang, Xin Gong, et al.. (2007). Exoribonuclease R in Mycoplasma genitalium can carry out both RNA processing and degradative functions and is sensitive to RNA ribose methylation. RNA. 13(11). 1957–1968. 37 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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