Shibao Lu

Capital Medical University

Papers

2

Total Citations

10

H-Index

2

About

Shibao Lu is an orthopedic spine researcher whose work centers on lumbar biomechanics, surgical fusion techniques, and spinopelvic morphology. His research addresses some of the most pressing challenges in spinal surgery, particularly the prevention of adjacent segment degeneration disease (ASD) — a common and debilitating complication following lumbar fusion procedures. Among his notable contributions is a 2022 cadaveric biomechanical study comparing dynamic and rigid fusion techniques across different sagittal spinal parameters, providing surgeons with valuable in vitro evidence to guide operative decision-making and reduce postoperative complications. This work has garnered 6 citations, reflecting its relevance to the spinal surgery community. Complementing this, his investigation into the relationship between sagittal lumbopelvic morphotypes and lumbar range of motion offers clinicians a deeper understanding of how individual spinal geometry influences everyday mobility — work that has attracted 4 citations since publication. Lu's research is distinguished by its methodological rigor, relying on cadaveric models to generate reliable biomechanical data that bridges basic science and clinical practice. His focus on patient-specific spinal parameters positions his work at the forefront of personalized spine care, making his findings particularly valuable for surgeons, biomedical engineers, and researchers seeking to optimize lumbar surgical outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Biomechanical comparative analysis of effects of dynamic and rigid fusion on lumbar motion with different sagittal parameters: An in vitro study
6 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Capital Medical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago