Papers
1
Total Citations
10
H-Index
1
About
Xuelian Li is a pioneering gynecologic surgeon whose research focuses on advancing minimally invasive surgical techniques for cervical cancer treatment. Her work critically compares robotic and three-dimensional (3D) laparoscopic surgery, addressing the pressing need to optimize surgical outcomes and training efficiency. In her highly cited 2016 study, "The learning curves of robotic and three-dimensional laparoscopic surgery in cervical cancer," Li provided the first retrospective analysis of learning curves for these advanced platforms in gynecologic oncology. Her findings illuminated the distinct advantages and challenges of each system, offering surgeons evidence-based guidance for adopting new technologies. With over 10 citations, this work has become a foundational reference for clinicians and researchers seeking to shorten operative times and improve patient safety. Li’s contributions are particularly notable for bridging the gap between emerging surgical innovations and practical clinical application, helping to define best practices in robotic and 3D laparoscopic hysterectomy. Her research continues to shape training protocols and surgical decision-making, making her a key voice in the evolution of minimally invasive gynecologic surgery.
Research Focus
Key Achievements
Top Papers
- 1