Papers

5

Total Citations

135

H-Index

4

About

Ian A. Buchanan is a leading researcher in the field of robot-assisted spine surgery, focusing on the safety, accuracy, and long-term outcomes of robotic platforms. His major contributions include large-scale, multicenter studies that address critical gaps in the literature, such as the comparative effectiveness of navigated versus non-navigated robotic systems and the impact of robot-related complications on patient outcomes. For instance, his 2021 study analyzing 2,800 screws across 372 patients (49 citations) demonstrated no significant difference in screw accuracy between navigated and non-navigated cohorts, while his 2022 work tracking 5-year trends (41 citations) provided robust evidence of the safety and efficacy of robotic techniques. Buchanan has also pioneered innovative approaches like awake robotic minimally invasive transforaminal lumbar interbody fusion under spinal anesthesia, showcasing his commitment to advancing patient-centered care. With over 135 citations across his most-cited papers, his work has shaped clinical guidelines and informed surgical decision-making, making him a trusted voice in spine surgery research.

Research Focus

Key Achievements

4
H-Index
5
Papers
135
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Is there a difference between navigated and non-navigated robot cohorts in robot-assisted spine surgery? A multicenter, propensity-matched analysis of 2,800 screws and 372 patients
49 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Columbia University Irving Medical Center, Texas Health Dallas, Jacksonville College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago