Xin‐Jin Su

Papers

Total Citations

H-Index

About

Xin‐Jin Su is a leading figure in the field of spinal neurosurgery, with a focused expertise in the precision and safety of cervical spine instrumentation. His key research centers on the comparative effectiveness of advanced surgical navigation technologies, specifically contrasting robot-assisted (RA) and fluoroscopy-guided (FG) techniques for pedicle screw placement. Su’s most impactful contribution is a landmark prospective controlled study (53 citations) that systematically evaluated accuracy and clinical outcomes in posterior cervical surgery. By demonstrating the superior precision of robotic assistance over traditional fluoroscopy, his work provides critical, evidence-based guidance for surgeons seeking to minimize complications and improve patient recovery. This research has set a new benchmark for surgical decision-making in complex cervical procedures. Su’s rigorous methodology and focus on quantifiable outcomes have established him as an authority on integrating robotics into spinal practice, directly influencing the adoption of these technologies in operating rooms worldwide. His ongoing work continues to shape the future of minimally invasive, high-accuracy spinal surgery.