Papers

1

Total Citations

12

H-Index

1

About

Linzhen Xie is a rising figure in orthopedic and spinal surgery research, with a focused expertise in the precision and safety of robotic-assisted surgical techniques. Xie’s primary research area centers on the comparative effectiveness of different robotic systems in spinal procedures, particularly pedicle screw insertion—a technically demanding task where accuracy is critical. In their most cited work, a 2023 Bayesian network meta-analysis, Xie systematically evaluated the accuracies of various spinal robot types, addressing a key clinical question: whether robot design influences surgical outcomes. This study, which has garnered 12 citations in a short time, provides crucial evidence for surgeons selecting robotic platforms, highlighting Xie’s ability to synthesize complex data into actionable insights. By clarifying the nuanced performance of different robotic systems, Xie’s research directly contributes to improving patient safety and surgical efficacy in orthopedics. Their work is especially valuable for students and researchers exploring the intersection of robotics and minimally invasive surgery, offering a rigorous, evidence-based foundation for future innovations in spinal care.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Accuracies of various types of spinal robot in robot-assisted pedicle screw insertion: a Bayesian network meta-analysis
12 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chinese Academy of Medical Sciences & Peking Union Medical College

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago