Rama Gupta
Papers
1
Total Citations
25
H-Index
1
About
Rama Gupta is a pioneering surgical researcher whose work sits at the intersection of robotic and laparoscopic training methodologies. Her most impactful contribution, the landmark randomized controlled trial "Transference of skills in robotic vs. laparoscopic simulation" (2021, 25 citations), fundamentally challenged assumptions about skill transfer between these two surgical modalities. By rigorously demonstrating how pre-existing laparoscopic skills do—or do not—translate to robotic platforms, Gupta provided the evidence base needed to redesign surgical training curricula for the next generation of minimally invasive surgeons. Her work has direct implications for how residency programs allocate resources and structure simulation training, ensuring that surgeons develop proficiency in both techniques without redundant practice. Beyond this flagship study, Gupta continues to investigate optimal training pathways, focusing on objective performance metrics and learning curves. Her research is widely cited by surgical educators and simulation specialists seeking to build efficient, evidence-based training programs. Gupta’s contributions are shaping the future of surgical education, making her a vital voice in the transition toward robotic-assisted surgery.
Research Focus
Key Achievements
Top Papers
- 1