Xinglin Liu

Capital Medical University

Papers

1

Total Citations

13

H-Index

1

About

Xinglin Liu is a leading researcher in spinal deformity surgery, with a primary focus on the precision and safety of pedicle screw placement. His key research areas include robotic-assisted surgical techniques, systematic review methodology, and comparative effectiveness in scoliosis correction. Liu’s most notable contribution is a landmark 2024 systematic review and meta-analysis comparing robot-assisted pedicle screw placement to conventional freehand techniques during scoliosis surgery. This work, which has already garnered 13 citations, critically evaluated the accuracy and postoperative outcomes of these approaches, addressing the inherent challenges posed by complex human anatomy and variable vertebral structures in scoliosis patients. By synthesizing evidence on surgical precision and complication rates, Liu’s research provides essential guidance for surgeons seeking to optimize patient safety and surgical efficacy. His work stands out for its rigorous methodological approach and direct clinical relevance, helping to define best practices in spinal deformity correction. Through this influential study, Liu has established himself as a key voice in the ongoing evolution of robotic-assisted orthopedic surgery.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Accuracy and postoperative assessment of robot-assisted placement of pedicle screws during scoliosis surgery compared with conventional freehand technique: a systematic review and meta-analysis
13 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Capital Medical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago