Liqun Wu

Shanghai Jiao Tong University, Ruijin Hospital

Papers

5

Total Citations

30

H-Index

2

About

Liqun Wu is a cardiac electrophysiology researcher whose work centers on advanced catheter ablation technologies for the treatment of atrial fibrillation (AF) and complex arrhythmias. His research has made significant contributions to the field of robotic magnetic navigation (RMN), systematically evaluating its clinical utility, procedural optimization, and comparative effectiveness against established techniques such as cryoballoon ablation. Wu's most cited work (13 citations) directly compares RMN-guided radiofrequency ablation with cryoballoon ablation for persistent AF, offering valuable mid-term efficacy data to guide clinical decision-making. His investigations into steerable sheath technology (11 citations) have demonstrably improved procedural efficiency in RMN-guided ablation, while his exploration of RMN as a training tool for novice electrophysiologists highlights a forward-thinking approach to medical education and skill development. Notably, Wu has also documented a rare and technically demanding case of AF ablation in a patient with dextrocardia situs inversus, showcasing RMN's adaptability in anatomically challenging scenarios. With a growing body of long-term outcome data and an accumulated citation record reflecting increasing recognition in the field, Wu's research is shaping the evidence base for next-generation, robotic-assisted cardiac ablation and its integration into mainstream electrophysiology practice.

Research Focus

Key Achievements

2
H-Index
5
Papers
30
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of the Mid-Term Outcomes of Robotic Magnetic Navigation-Guided Radiofrequency Ablation versus Cryoballoon Ablation for Persistent Atrial Fibrillation
13 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Shanghai Jiao Tong University, Ruijin Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago