Daniel M. Breitkopf
Papers
1
Total Citations
34
H-Index
1
About
Daniel M. Breitkopf is a leading figure in gynecologic surgery and medical education, whose research has shaped how surgeons are trained in robotic and minimally invasive techniques. His work centers on the intersection of surgical skill acquisition, simulation-based learning, and the translation of laparoscopic expertise to robotic platforms. In his landmark 2012 study, Breitkopf demonstrated that prior laparoscopic experience significantly accelerates the learning curve for robotic suturing, providing critical evidence for structuring surgical curricula. This work, cited 34 times, has influenced residency programs worldwide by validating the value of dry-lab training before operating room exposure. Beyond this, his contributions extend to optimizing surgical outcomes and patient safety through rigorous educational research. With a career dedicated to bridging technical skill gaps, Breitkopf’s impact is measured not only in citations but in the countless surgeons he has helped train. His findings remain a cornerstone for educators designing progressive, competency-based training pathways in gynecologic surgery.
Research Focus
Key Achievements
Top Papers
- 1