Abdullah Nasif

Papers

Total Citations

H-Index

About

Abdullah Nasif is a cardiothoracic surgeon and researcher whose work focuses on the technical optimization and safety of robotic coronary artery bypass grafting (CABG). His key research area is the learning curve associated with robotic cardiac surgery—a critical topic as minimally invasive techniques become more widespread. Nasif’s major contributions include co-authoring a landmark analysis of the Society of Thoracic Surgeons (STS) national database, which systematically evaluated how surgeon experience affects outcomes in robotic CABG. This work, published in 2021, provides essential benchmarks for training programs and helps define the volume of cases needed to achieve proficiency. Although his most-cited papers currently hold modest citation counts (3 and 2, respectively), they represent foundational, data-driven insights into a rapidly evolving surgical field. Nasif’s research is particularly notable for its use of large-scale registry data to address practical questions of skill acquisition and patient safety. His work has direct implications for surgical education, credentialing, and the broader adoption of robotic techniques in coronary revascularization. By quantifying the learning curve, Nasif helps bridge the gap between innovation and safe clinical implementation.