Papers
17
Total Citations
535
H-Index
9
About
Ruslan Alikhanov is a leading figure in the field of minimally invasive hepatobiliary surgery, whose work has fundamentally shaped our understanding of how robotic and laparoscopic techniques compare in complex liver resections. His research focuses on the critical evaluation of surgical approaches for major hepatectomies, including right and extended right hepatectomies, left lateral sectionectomies, and posterior sectionectomies. Alikhanov’s major contributions lie in his use of large-scale, international multicenter propensity score-matched analyses to provide robust, evidence-based comparisons between robotic and laparoscopic methods. His landmark 2017 study on learning curves in complex liver surgery has garnered 128 citations, while his 2022 analysis of robotic versus laparoscopic right hepatectomy has been cited 120 times, underscoring their influence. Notably, his work has also explored the impact of liver cirrhosis and portal hypertension on surgical difficulty and outcomes, and he has led investigations into the risk factors for open conversion during minimally invasive procedures, analyzing data from thousands of patients. Through these rigorous studies, Alikhanov has provided surgeons with crucial data to guide operative decision-making, directly advancing the safety and efficacy of minimally invasive liver surgery worldwide.
Research Focus
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