About

Ojas Shah is a pioneering urological surgeon whose research has fundamentally shaped the landscape of minimally invasive upper urinary tract reconstruction. His work centers on robotic-assisted laparoscopic surgery, particularly pyeloplasty for ureteropelvic junction obstruction, with additional expertise in ureteral reconstruction, retroperitoneal fibrosis management, and renal autotransplantation. Shah's most influential contribution is his multi-institutional analysis of robotic dismembered pyeloplasty, which has garnered nearly 200 citations and established robust evidence for the da Vinci Surgical System as a superior alternative to traditional laparoscopic approaches in complex reconstructive procedures. Building on this foundation, his longitudinal studies tracking outcomes across 119 and then 250 consecutive patients demonstrated the durability and reproducibility of robotic upper urinary tract reconstruction at scale, collectively accumulating nearly 110 additional citations. Beyond pyeloplasty, Shah has advanced the field through investigations into robotic ureterocalicostomy, minimally invasive retroperitoneal fibrosis management, and innovative CT-based renal function estimation methods. His more recent work on renal autotransplantation reflects a continued commitment to expanding surgical options for complex urological cases. Across his career, Shah's evidence-based contributions have helped standardize robotic reconstructive urology and meaningfully improved patient outcomes worldwide.

Research Focus

Key Achievements

8
H-Index
10
Papers
496
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Dismembered Pyeloplasty: A 6-Year, Multi-Institutional Experience
195 citations · 2008
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Mount Sinai Medical Center, New York University, NYU Langone Health, Albert Einstein College of Medicine, Columbia University Irving Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago