Xingmei Wang

University of Pennsylvania

Papers

1

Total Citations

33

H-Index

1

About

Dr. Xingmei Wang is a pioneering cardiothoracic surgeon whose work focuses on advancing minimally invasive coronary revascularization, particularly through robotic-assisted techniques. Her major contributions lie in defining the learning curve for robotic coronary artery bypass grafting (RA-CABG), a critical step toward safer adoption of this complex technology. In her landmark 2021 study, published using data from the Society of Thoracic Surgeons (STS) database, Dr. Wang analyzed clinical outcomes to determine the minimum number of procedures required for surgeons to achieve proficiency in RA-CABG. This work, which has garnered 33 citations, provides evidence-based benchmarks that move beyond expert opinion, directly informing training protocols and credentialing standards. By quantifying the learning curve, Dr. Wang’s research helps reduce patient risk during the adoption phase of robotic cardiac surgery. Her findings are essential for hospitals and training programs seeking to implement robotic coronary bypass programs safely. Dr. Wang’s dedication to data-driven surgical education and her focus on improving outcomes through rigorous analysis mark her as a leading voice in the evolution of robotic cardiac surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
33
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
The learning curve of robotic coronary arterial bypass surgery: A report from the STS database
33 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Pennsylvania

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago