Yu‐Chieh Lee

Taipei Medical University Hospital

Papers

2

Total Citations

33

H-Index

2

About

Yu-Chieh Lee is a leading gynecologic surgeon whose research focuses on advancing minimally invasive surgical approaches for complex pelvic conditions, particularly in oncology and adhesion-related cases. Her most impactful work addresses the surgical management of locally bulky-size cervical cancer (LBS-CC), where she compared robotic versus abdominal radical hysterectomy following neoadjuvant chemotherapy. This 2019 study, cited 19 times, provided critical evidence that robotic surgery can achieve comparable oncologic outcomes with reduced morbidity, challenging traditional treatment paradigms for advanced-stage disease. Lee further demonstrated her expertise in robotic surgery by investigating its application in benign cases with pelvic adhesions—a population often deemed high-risk for minimally invasive approaches. Her 2022 study, with 14 citations, showed that robotic total hysterectomy is safe and effective even in patients with severe adhesions, expanding surgical options and improving recovery. By systematically evaluating surgical outcomes in these challenging scenarios, Lee has helped redefine contraindications and broaden the use of robotic techniques. Her work is particularly valuable for surgeons and trainees seeking evidence-based guidance on when to adopt robotic approaches in complex pelvic surgery, ultimately improving patient outcomes through reduced complications and faster recovery.

Research Focus

Key Achievements

2
H-Index
2
Papers
33
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Radical Hysterectomy After Neoadjuvant Chemotherapy for Locally Bulky-Size Cervical Cancer: A Retrospective Comparative Analysis between the Robotic and Abdominal Approaches
19 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Taipei Medical University Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago