Joseph Garrett

Moffitt Cancer Center

Papers

4

Total Citations

50

H-Index

3

About

Joseph Garrett is a pioneering thoracic surgeon whose work has fundamentally shaped the practice of robotic lobectomy for lung cancer. His research centers on defining and shortening the learning curve for this complex minimally invasive procedure, a critical step for patient safety and surgical training. In his landmark 2018 study analyzing 272 consecutive cases, Garrett established the credentialing standards for robotic lobectomy, demonstrating that proficiency requires approximately 50 cases—a finding that has guided institutional protocols worldwide (30 citations). His earlier 2011 work on "flattening the learning curve" provided the foundational framework for structured training programs. Beyond technique, Garrett has contributed vital case reports on rare but life-threatening complications, including the first documented case of intrathoracic gastric volvulus following robotic lobectomy, and a novel combined approach for concurrent hiatal hernia repair and lung cancer resection. With over 50 total citations, his work bridges surgical innovation and patient safety, making him a leading voice in the adoption of robotic thoracic surgery.

Research Focus

Key Achievements

3
H-Index
4
Papers
50
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Credentialing for robotic lobectomy: what is the learning curve? A retrospective analysis of 272 consecutive cases by a single surgeon
30 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Moffitt Cancer Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago