About

Miguel A. Cuesta is a pioneering surgical researcher whose career spans minimally invasive surgery, robotic-assisted procedures, and esophageal oncology. He is perhaps best recognized as an early champion of robot-assisted laparoscopic vascular surgery, having published foundational case reports and comparative studies on aortobifemoral bypass for aortoiliac occlusive disease beginning in 2002—work that collectively garnered over 220 citations and helped establish the clinical and technical feasibility of robotic aortic surgery. His 2004 comparative pig-model study and subsequent clinical series through 2011 provided the field with rigorous evidence supporting the adoption of these complex minimally invasive approaches. Cuesta has also made substantial contributions to esophageal surgery, offering new anatomical insights into connective tissue layers and autonomic nerve relationships that have informed modern esophagectomy techniques. His 2014 and 2017 publications reflect deep engagement with multidisciplinary esophageal cancer care. More recently, he has turned his attention to surgical education, co-authoring structured frameworks for robotic thoracic surgery training across Europe, and exploring innovative combinations of minimally invasive surgery with intraoperative electron radiation therapy. Across his career, Cuesta exemplifies the surgeon-scientist committed to advancing both technical innovation and patient outcomes.

Research Focus

Key Achievements

8
H-Index
11
Papers
337
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted laparoscopic aortobifemoral bypass for aortoiliac occlusive disease: A report of two cases
83 citations · 2002
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 55
🏛 Institutions: University of California, Los Angeles, Amsterdam UMC Location VUmc, Vrije Universiteit Amsterdam, University Medical Center, Amsterdam University Medical Centers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago