Jun Lin
Papers
1
Total Citations
91
H-Index
1
About
Jun Lin is a leading figure in the field of orthopedic surgery and spinal biomechanics, with a particular focus on the precision and safety of spinal instrumentation. His most influential work centers on the comparative efficacy of robot-assisted versus conventional freehand pedicle screw placement. In his landmark 2016 systematic review and meta-analysis, cited over 90 times, Lin provided critical, evidence-based insights demonstrating that robotic guidance significantly enhances screw placement accuracy while reducing the risk of complications. This contribution has helped shape modern surgical protocols, bridging the gap between emerging robotic technologies and clinical practice. Beyond this core study, Lin’s research portfolio explores surgical outcomes, implant design, and intraoperative navigation, making him a key voice in the evolution of minimally invasive spinal surgery. His work is widely referenced by surgeons and engineers alike, underscoring his impact on both patient safety and the adoption of precision-driven, technology-assisted approaches in orthopedics.
Research Focus
Key Achievements
Top Papers
- 1