Papers
6
Total Citations
137
H-Index
5
About
Arul Immanuel is a leading researcher in robotic-assisted surgery, with a particular focus on minimally invasive esophagectomy (RAMIE) and gastrectomy (RAMIG). His work has fundamentally advanced the understanding of how robotic technology can improve outcomes in upper gastrointestinal oncology. Immanuel’s major contributions include landmark studies using the Upper GI International Robotic Association (UGIRA) registry, where he has assessed global perioperative outcomes and compared surgical techniques, such as hybrid laparoscopic versus fully robotic approaches. His highly cited 2022 bibliometric analysis (58 citations) mapped two decades of robotic surgery research, establishing a foundational framework for the field. He has also addressed critical implementation challenges, including anastomotic leakage prevention and the broader systemic issues of adopting robotic surgery, as explored in his qualitative study on current issues and future considerations. With over 130 total citations across his most influential papers, Immanuel’s work directly shapes surgical best practices and informs the safe, effective integration of robotics into clinical care, making him a pivotal voice in the future of minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
- 1A Bibliometric Analysis of Robotic Surgery From 2001 to 202158 citations · 2022
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