Frans van Workum

Radboud University Nijmegen, Canisius-Wilhelmina Ziekenhuis

Papers

2

Total Citations

110

H-Index

2

About

Frans van Workum is a leading surgical researcher whose work focuses on the learning curves and skill acquisition in minimally invasive surgery, particularly in pancreatic and suturing procedures. His major contributions center on quantifying the training requirements for complex robotic and laparoscopic techniques, providing evidence-based benchmarks for surgical proficiency. His most-cited study, “Robot assisted versus laparoscopic suturing learning curve in a simulated setting” (70 citations), established critical differences in how surgeons master these two approaches, demonstrating that robotic systems may flatten the learning curve for demanding suturing tasks. This work has direct implications for surgical training curricula and patient safety. In a landmark 2023 study (40 citations), van Workum led a multicenter evaluation of learning curves for minimally invasive distal pancreatectomy, addressing a gap in the literature by providing robust, multi-institutional data. His research is notable for its practical impact: by defining the number of procedures needed to achieve competency, his findings help reduce potential patient harm during the adoption of new techniques. Van Workum’s work is essential reading for surgeons and trainees navigating the transition to robotic and minimally invasive surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
110
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Robot assisted versus laparoscopic suturing learning curve in a simulated setting
70 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 61
🏛 Institutions: Radboud University Nijmegen, Canisius-Wilhelmina Ziekenhuis

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago