Papers
26
Total Citations
523
H-Index
12
About
John B. Gebhart is a prominent gynecologic surgeon and clinical researcher whose work has significantly shaped modern approaches to minimally invasive pelvic surgery. Based at Mayo Clinic in Rochester, Minnesota, Gebhart has focused his career on optimizing surgical techniques for hysterectomy and pelvic organ prolapse repair, with particular expertise in robotic-assisted procedures. Gebhart's most influential contribution — his 2013 study on the learning curve of robotic hysterectomy (119 citations) — provided objective, patient-centered insights that helped standardize how surgeons develop proficiency with robotic platforms. Building on this foundation, he has rigorously compared surgical routes for hysterectomy through decision-tree algorithms and cost analyses, demonstrating a sustained commitment to evidence-based, value-conscious care. His comparative work on robotic, vaginal, and abdominal hysterectomy costs (47 citations) has proven especially relevant in an era of healthcare resource stewardship. Beyond hysterectomy, Gebhart has made meaningful contributions to sacrocolpopexy research, evaluating learning curves, perioperative complications, suture techniques, and long-term symptom relief for women with vaginal vault prolapse. His more recent work on opioid prescribing after prolapse surgery reflects a broadening commitment to patient safety and responsible postoperative care. Across more than a decade of research, Gebhart's work has helped guide surgeons toward safer, more effective, and economically sound choices in gynecologic surgery.
Research Focus
Key Achievements
Top Papers
- 1The Learning Curve of Robotic Hysterectomy119 citations · 2013
- 2Determining Optimal Route of Hysterectomy for Benign Indications48 citations · 2016
- 3Cost Differences Among Robotic, Vaginal, and Abdominal Hysterectomy47 citations · 2014
- 4Assessing the learning curve of robotic sacrocolpopexy40 citations · 2015
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