Zuoheng Wang
Papers
1
Total Citations
42
H-Index
1
About
Zuoheng Wang is a leading researcher in the field of thoracic surgery, with a particular focus on the learning curve and outcomes of robot-assisted thoracoscopic surgery (RATS). Wang’s most-cited work, "Defining the learning curve in robot-assisted thoracoscopic lobectomy" (2018, 42 citations), provides a critical framework for understanding how surgeons acquire proficiency in this advanced minimally invasive technique. This study has become a cornerstone for training programs and quality assurance, helping to standardize the adoption of robotic lobectomy worldwide. Wang’s research directly addresses the challenges of surgical education and patient safety, demonstrating that the learning curve for RATS lobectomy stabilizes after approximately 20–30 cases. By quantifying this transition, Wang has empowered institutions to implement structured mentorship and credentialing processes, ultimately improving surgical outcomes. This work has been widely cited by surgeons and educators seeking evidence-based guidelines for robotic thoracic surgery. Wang’s contributions are essential for any researcher or clinician interested in the intersection of surgical innovation, training, and patient care.
Research Focus
Key Achievements
Top Papers
- 1Defining the learning curve in robot-assisted thoracoscopic lobectomy42 citations · 2018