Papers
11
Total Citations
419
H-Index
10
About
Renjie Zhang is a spine surgery researcher whose work sits at the intersection of surgical robotics, spinal instrumentation, and evidence-based clinical outcomes. Specializing in robot-assisted techniques for pedicle screw placement, Zhang has made substantial contributions to evaluating the safety, accuracy, and comparative efficacy of emerging navigation technologies in spinal surgery. Zhang's most influential work — a 2019 meta-analysis now cited 192 times — rigorously synthesized nine randomized controlled trials to demonstrate the advantages of robot-assisted techniques over conventional freehand approaches in spine surgery. This foundational study established a benchmark for the field and catalyzed subsequent investigations. Zhang went on to extend this comparative framework to computer-assisted navigation systems and, notably, to the technically demanding domain of cervical spine surgery, where the complex vertebral anatomy raises the stakes for precision considerably. Across more than ten publications, Zhang has examined critical clinical variables including facet joint violation rates, screw accuracy, and procedural safety in thoracolumbar and cervical contexts. Work on the TINAVI robotic platform and cortical bone trajectory screws further reflects a commitment to translating technical innovation into real-world clinical guidance. With a growing citation record exceeding 400 references, Zhang's research is shaping how spine surgeons evaluate and adopt robotic technology — making it essential reading for clinicians and researchers navigating this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10