Papers
5
Total Citations
121
H-Index
4
About
Erik Leijte is a surgical researcher whose work sits at the intersection of minimally invasive surgery, robotic-assisted techniques, and surgical education. His research has made meaningful contributions to understanding how surgeons acquire and transfer complex technical skills, particularly in the context of laparoscopic and robot-assisted surgery (RAS). Leijte's most influential study, examining learning curves for robotic versus laparoscopic suturing in simulated environments, has garnered 70 citations and provided critical insight into how these two skill sets develop differently — findings with direct implications for surgical training program design. Beyond education, Leijte has addressed the economic dimensions of robotic surgery, contributing a notable cost-effectiveness analysis comparing robot-assisted and open radical cystectomy for bladder cancer, cited 29 times, which helps inform healthcare decision-making around surgical innovation adoption. His validation work on the RobotiX virtual reality simulator has further strengthened the evidence base for simulation-based curricula, establishing training benchmarks and validity frameworks essential for standardizing robotic surgical education. His 2024 crossover study exploring skill transferability between RAS and conventional minimally invasive surgery reflects a forward-thinking approach to addressing the growing demands placed on modern surgeons navigating multiple procedural platforms.
Research Focus
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Top Papers
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