Leandro Grando

Universitat de Barcelona, Hospital Clínic de Barcelona

Papers

4

Total Citations

17

H-Index

3

About

Leandro Grando is a pioneering thoracic surgeon whose research is reshaping the landscape of minimally invasive lung cancer surgery. His primary focus lies in advancing robotic-assisted thoracoscopic surgery (RATS), with a particular emphasis on optimizing learning curves and expanding the technical boundaries of the field. Grando’s most impactful work, a 2024 study with 7 citations, provides critical evidence that the robotic lobectomy learning curve yields better clinical outcomes than the traditional videothoracoscopic (VATS) approach, offering a compelling argument for the adoption of robotic platforms. He has also introduced innovative techniques, such as the "tunnel technique" for robotic-assisted left upper lobectomy, which addresses the challenge of incomplete or fused fissures—a common hurdle in lung resection. Demonstrating remarkable programmatic efficiency, Grando documented the rapid transition from basic wedge resections to complex sleeve lobectomies within just six months, a feat that underscores his technical mastery and leadership. While his 2025 investigation into peripheral blood-derived inflammatory indices found them to be poor predictors of complications, this work highlights his commitment to refining patient selection. With a growing body of work that directly impacts surgical practice, Grando is a rising authority in 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

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago