Papers

4

Total Citations

82

H-Index

3

About

Shekhar Gogna is a leading figure in the advancement of robotic hepatobiliary and pancreatic surgery, with a research focus on optimizing minimally invasive techniques for complex oncologic resections. His most impactful work, a meta-analysis of robotic versus open pancreaticoduodenectomy (59 citations), demonstrated that the robotic approach yields superior histopathological outcomes, particularly in achieving negative resection margins—a critical factor in cancer prognosis. Gogna has also been instrumental in expanding the robotic platform’s utility, as shown in his study on simultaneous robot-assisted colon and liver resection for metastatic colon cancer (16 citations), which highlights the feasibility of multi-organ procedures in a single setting. His detailed technical reports, including a step-by-step video guide for robotic duodenal GIST resection, provide invaluable educational resources for surgeons. Notably, his recent analysis of 152 robotic hepatectomies (2025) not only confirms favorable outcomes but also addresses the learning curve and cost-effectiveness, solidifying his role in shaping evidence-based practice. With a career dedicated to pushing the boundaries of robotic surgery, Gogna’s work directly impacts patient safety, surgical training, and the adoption of advanced technologies in high-stakes abdominal oncology.

Research Focus

Key Achievements

3
H-Index
4
Papers
82
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Robotic pancreaticoduodenectomy provides better histopathological outcomes as compared to its open counterpart: a meta-analysis
59 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Westchester Medical Center, New York Medical College, Georgetown University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago