Gerald Busuttil

University College Hospital, University College London

Papers

2

Total Citations

90

H-Index

2

About

Gerald Busuttil is a surgical researcher whose work centers on the adoption and outcomes of robotic surgery, particularly in urological oncology. His most cited paper, "Learning Curves for Robotic Surgery: a Review of the Recent Literature" (2017, 71 citations), provides a critical synthesis of how surgeons acquire proficiency with robotic platforms, a foundational issue for training and patient safety. This review has become a key reference for institutions implementing robotic programs. Busuttil also made significant contributions to understanding perioperative risk in complex cancer surgery. His study on "Blood Transfusion Requirement and Not Preoperative Anemia Are Associated with Perioperative Complications Following Intracorporeal Robot-Assisted Radical Cystectomy" (2016, 19 citations) challenged conventional wisdom by demonstrating that the need for transfusion—rather than preoperative anemia itself—was the stronger predictor of complications after robot-assisted bladder removal. This finding has direct implications for surgical planning and blood management protocols. Through these works, Busuttil has helped shape evidence-based practice in robotic surgery, offering insights that bridge technical learning curves with tangible patient outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
90
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Learning Curves for Robotic Surgery: a Review of the Recent Literature
71 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University College Hospital, University College London

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago