Ronald P. Zweemer

University Medical Center Utrecht, Utrecht University

Papers

14

Total Citations

497

H-Index

7

About

Ronald P. Zweemer is a prominent gynecologic oncologist whose research has fundamentally shaped the adoption and refinement of robot-assisted laparoscopic surgery, particularly in the treatment of early-stage cervical and endometrial cancer. Working primarily from a tertiary referral center, Zweemer has made sustained contributions to understanding surgical learning curves, oncological outcomes, and structured training methodologies in robotic surgery. His most influential work — a 2011 systematic review on robotic surgical training (225 citations) — identified a critical gap in structured education for emerging robotic surgeons and helped catalyze more rigorous, evidence-based training frameworks globally. Complementing this, his longitudinal cohort studies traced how learning curves directly influence patient outcomes in cervical cancer surgery, offering rare insight into the human factors behind surgical performance. Zweemer has also pioneered advances in sentinel lymph node detection, demonstrating that preoperative SPECT-CT mapping significantly reduces intraoperative retrieval time, and more recently evaluating innovative drop-in gamma-probe technology for minimally invasive radioguided procedures. His work on long-term complications following robot-assisted radical hysterectomy further underscores his commitment to comprehensive patient-centered outcomes. Across his career, Zweemer has helped transform robotic gynecologic oncology from an emerging technique into a rigorously studied, systematically taught surgical discipline.

Research Focus

Key Achievements

7
H-Index
14
Papers
497
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Training and learning robotic surgery, time for a more structured approach: a systematic review
225 citations · 2011
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: University Medical Center Utrecht, Utrecht University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago