Papers

15

Total Citations

465

H-Index

10

About

Ravi Shridhar is a surgical oncologist whose research has fundamentally shaped the understanding and adoption of robotic-assisted techniques in complex gastrointestinal surgery, particularly esophageal and pancreatic cancer resections. Working primarily from a high-volume tertiary care referral center, Shridhar has been a pioneering voice in defining the safety, feasibility, and learning curve associated with robotic-assisted Ivor Lewis esophagogastrectomy — work that has collectively garnered over 200 citations and provided essential benchmarks for surgical training programs worldwide. His early studies established critical procedural milestones for surgeons adopting robotic platforms, while subsequent research explored how patient-specific factors such as age and body mass index influence operative outcomes. Shridhar's comparative analyses of minimally invasive and robotic esophagectomy techniques have helped guide institutional decision-making across the field. His work has expanded into pancreatic surgery, examining how robotic approaches can improve outcomes in notoriously complex resections. More recently, he has investigated intraoperative innovations such as indocyanine green angiography to optimize conduit perfusion decisions during esophagectomy. Through over a decade of rigorous outcomes research, Shridhar has meaningfully advanced the evidence base for minimally invasive surgical oncology.

Research Focus

Key Achievements

10
H-Index
15
Papers
465
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Defining the Learning Curve for Robotic-assisted Esophagogastrectomy
112 citations · 2013
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Moffitt Cancer Center, Florida Hospital Cancer Institute, University of Central Florida, Sarasota Memorial Hospital

Top Papers

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    Esophagectomy from then to now
    39 citations · 2018
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago