Papers

4

Total Citations

17

H-Index

3

About

Marc Boada is a pioneering thoracic surgeon whose work is reshaping the landscape of minimally invasive lung cancer surgery. His research centers on the learning curve, clinical outcomes, and technical innovations of robotic-assisted thoracoscopic surgery (RATS) compared to traditional video-assisted thoracoscopic surgery (VATS). Boada’s major contribution lies in demonstrating that the robotic lobectomy learning curve yields better clinical outcomes than VATS, a finding with significant implications for surgical training and patient care. His 2024 study on this topic has already garnered 7 citations, reflecting its impact on the field. He has also advanced surgical technique through innovations like the tunnel technique for robotic-assisted left upper lobectomy, which addresses the challenge of incomplete or fused fissures, and has shown that a robotic thoracic surgery program can rapidly progress from wedge resection to sleeve lobectomy in just six months. Notably, Boada’s work challenges the utility of peripheral blood-derived inflammatory indices as predictors of complications in robotic lung cancer surgery, contributing to a more nuanced understanding of patient risk assessment. His publications, including studies on program implementation and technical refinements, mark him as a leading voice in the evolution of robotic thoracic surgery.

Research Focus

Key Achievements

3
H-Index
4
Papers
17
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Lobectomy Learning Curve Has Better Clinical Outcomes than Videothoracoscopic Lobectomy
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Universitat de Barcelona, Hospital Clínic de Barcelona

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago