Khaldoun Almhanna
Papers
5
Total Citations
173
H-Index
5
About
Khaldoun Almhanna is a surgical oncologist whose research has significantly advanced the understanding and application of robotic-assisted techniques in esophageal cancer surgery. His work centers on minimally invasive surgical approaches, particularly robotic-assisted Ivor-Lewis esophagectomy, with a focus on optimizing outcomes across diverse patient populations. His most influential contribution, "Defining the Learning Curve for Robotic-assisted Esophagogastrectomy" (2013), has garnered 112 citations and remains a foundational reference for surgeons adopting robotic platforms in esophageal procedures. Almhanna has systematically investigated how patient-specific factors — including body mass index, advanced age, and prior neoadjuvant chemoradiotherapy — influence perioperative outcomes, providing clinicians with critical evidence to guide surgical decision-making. His retrospective analyses, conducted at high-volume tertiary care centers, have helped establish that robotic-assisted approaches can reduce complications and shorten hospitalization even in challenging patient subgroups such as the elderly and the obese. Through a consistent and methodical body of work, Almhanna has contributed meaningfully to the standardization and broader adoption of robotic esophageal surgery, making him a notable figure in the evolving landscape of minimally invasive oncologic surgery.
Research Focus
Key Achievements
Top Papers
- 1Defining the Learning Curve for Robotic-assisted Esophagogastrectomy112 citations · 2013
- 2
- 3Robotic assisted Ivor Lewis esophagectomy in the elderly patient.22 citations · 2015
- 4
- 5Robotic-assisted Ivor-Lewis esophagectomy in the elderly patient.5 citations · 2014