Pavel Kim

Papers

Total Citations

133

H-Index

About

Pavel Kim is a leading figure in hepatopancreatobiliary (HPB) surgery, with a focused expertise in the comparative effectiveness of minimally invasive techniques. His most cited work, a 2017 study on the learning curve for complex robot-assisted versus laparoscopic liver resections, has garnered 128 citations, establishing a critical benchmark for surgical training and adoption. This research directly addresses the practical challenges of implementing advanced robotic systems, providing essential data on the case volumes needed to achieve proficiency. Kim also contributed to a pioneering 2015 study on radical robot-assisted liver resection for alveolar echinococcosis, a rare but severe parasitic disease. This work, though with fewer citations, demonstrates his involvement in pushing the boundaries of robotic surgery for complex, high-risk pathologies. As part of a distinguished team at the Moscow Clinical Scientific Center, Kim’s research helps define the safety and feasibility of robotic approaches in HPB surgery, offering vital guidance for surgeons navigating the transition from laparoscopic to robotic platforms. His contributions are particularly valuable for trainees and institutions evaluating the adoption of robotic technology.