Papers

5

Total Citations

200

H-Index

4

About

Emil Gurshumov is a pioneering researcher in robotic surgery and pelvic reconstructive medicine, whose work has significantly advanced surgical training and patient outcomes. His key research areas include robotic surgical simulation, pelvic organ prolapse repair, and postoperative functional recovery. Gurshumov’s most impactful contribution is his seminal 2013 study on the predictive validity of a robotic surgery simulator, which established expert benchmarks for skill acquisition and demonstrated that simulation can effectively prepare surgeons for live procedures—a finding cited 93 times and widely adopted in surgical education. He also led prospective trials evaluating lightweight polypropylene Y-mesh for robotic sacrocolpopexy, collectively cited over 90 times, showing improved anatomical success and patient-reported outcomes. Notably, his prospective cohort studies on bowel function after robotic sacrocolpopexy (cited 10 times) provided critical insights into postoperative quality of life, addressing a previously understudied aspect of pelvic surgery. Gurshumov’s work bridges the gap between simulation-based training and clinical excellence, offering evidence-based protocols that enhance surgical safety and efficacy. His research remains foundational for surgeons and trainees seeking to optimize robotic techniques and patient care.

Research Focus

Key Achievements

4
H-Index
5
Papers
200
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Predictive Validity of a Training Protocol Using a Robotic Surgery Simulator
93 citations · 2013
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Institute for Female Pelvic Medicine and Reconstructive Surgery, Atlantic Health System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago