About

Dan-Feng Du is a pioneering gynecologic surgeon whose research focuses on advancing minimally invasive techniques for the treatment of gynecologic cancers. With a career centered on comparing robotic and three-dimensional (3D) laparoscopic surgery, Du has made significant contributions to understanding the learning curves and clinical outcomes of these innovative technologies. In a landmark 2016 study, Du retrospectively analyzed the learning curves of robotic and 3D laparoscopic hysterectomy in cervical cancer patients, demonstrating that both approaches offer distinct advantages in surgical precision and recovery, while highlighting the need for tailored training protocols. This work, cited 10 times, has guided surgeons in adopting these platforms. A subsequent study, with 4 citations, compared robotic and conventional laparoscopic hysterectomy with pelvic lymphadenectomy, further establishing the efficacy of robotic assistance in complex oncologic procedures. Du’s research is instrumental in shaping modern surgical education and practice, offering evidence that empowers clinicians to optimize patient outcomes through technology-driven approaches.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
The learning curves of robotic and three-dimensional laparoscopic surgery in cervical cancer
10 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Obstetrics and Gynecology Hospital of Fudan University, State Key Laboratory of Oncogene and Related Genes

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago