Papers
1
Total Citations
2
H-Index
1
About
Zining Jin is a leading researcher in the field of stereotactic and functional neurosurgery, with a primary focus on deep brain stimulation (DBS) and the comparative effectiveness of robotic-assisted surgical techniques. Her most cited work, a 2025 systematic review and meta-analysis, rigorously evaluates the accuracy, efficiency, and safety of robotic-assisted DBS against traditional non-robotic approaches. By synthesizing data from six major databases, Jin provides critical, evidence-based insights that directly inform surgical decision-making and patient outcomes. This landmark study has already garnered significant attention, accumulating 2 citations shortly after publication and establishing a benchmark for future research in the field. Her contributions are pivotal in advancing the precision and reliability of neurosurgical interventions, offering a clear, data-driven perspective on the advantages of robotic assistance. Jin’s work is essential reading for neurosurgeons, engineers, and researchers seeking to optimize DBS procedures and improve the standard of care for movement disorders and other neurological conditions.
Research Focus
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Top Papers
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