About

Dr. Gagan Gautam is a pioneering urologic surgeon and researcher whose work has fundamentally shaped the practice of robotic urological surgery. His primary research areas include the standardization of robotic surgical protocols, the refinement of surgical techniques for prostate and kidney cancers, and the integration of machine learning into perioperative care. Dr. Gautam’s major contributions are evident in his highly cited 2009 paper on training, credentialing, and medicolegal risks in robotic urological surgery (240 citations), which established critical guidelines for safe technology adoption. He also led a landmark randomized trial demonstrating that barbed polyglyconate suture for vesico-urethral anastomosis reduces operative time and costs (73 citations). His work on posterior rhabdosphincter reconstruction and cold irrigation techniques has improved functional outcomes after radical prostatectomy. More recently, Dr. Gautam has advanced the field by applying machine learning to predict consequential events during robot-assisted partial nephrectomy (28 citations), and he has conducted comparative studies on transperitoneal versus retroperitoneal approaches and off-clamp versus on-clamp techniques. His research, spanning over a decade, has not only enhanced surgical precision and patient safety but also established evidence-based standards that guide urologic surgeons worldwide.

Research Focus

Key Achievements

15
H-Index
37
Papers
808
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Training, Credentialing, Proctoring and Medicolegal Risks of Robotic Urological Surgery: Recommendations of the Society of Urologic Robotic Surgeons
240 citations · 2009
📈 Most Prolific Year: 2020 (8 Papers)
🤝 Key Collaborators: 181
🏛 Institutions: University of Chicago Medical Center, University of Chicago, Medanta The Medicity, Max Healthcare, Max Super Speciality Hospital, Muljibhai Patel Urological Hospital

Top Papers

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    Robotics in urologic oncology
    28 citations · 2014
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago