John-Peter Bonello
Papers
1
Total Citations
5
H-Index
1
About
John-Peter Bonello is a rising figure in the field of spine surgery, with a focused expertise in the comparative effectiveness of robotic surgical platforms. His most-cited work, a 2025 network meta-analysis of 14,462 screws, provides a rigorous, data-driven comparison of key performance metrics across major robotic systems. This landmark study offers surgeons and hospitals critical evidence for selecting the optimal technology to improve screw placement accuracy and patient outcomes. By synthesizing a vast dataset, Bonello’s research directly addresses the pressing need for standardization and evidence-based decision-making in robotic spine surgery. His contributions are already shaping clinical practice, with this influential paper garnering 5 citations shortly after publication—a strong indicator of its immediate impact and relevance in a rapidly evolving field. Bonello’s work stands out for its methodological precision and practical implications, positioning him as a key voice in the ongoing evaluation of surgical robotics and their role in enhancing procedural safety and efficiency.
Research Focus
Key Achievements
Top Papers
- 1