Papers
4
Total Citations
62
H-Index
4
About
Shun Gong is a neurosurgeon and clinical researcher whose work centers on the advancement of deep brain stimulation (DBS) and robot-assisted neurosurgical techniques, with a particular focus on Parkinson's disease and intracranial hemorrhage management. His most influential contribution, a 2020 comparative study of asleep versus awake robot-assisted DBS surgery involving 153 Parkinson's patients, has garnered 32 citations and provided critical clinical guidance on optimizing surgical approaches for improved patient outcomes. This work positioned Gong at the forefront of a rapidly evolving debate in functional neurosurgery. His 2019 investigation into robot-assisted minimally invasive surgery for spontaneous thalamic hemorrhage, cited 21 times, further demonstrated his commitment to refining precision techniques that reduce surgical risk in vulnerable populations. More recently, Gong has tackled the underexplored question of DBS safety and efficacy in elderly patients aged 75 and older — a demographic historically excluded from such interventions — helping to expand access to life-changing therapies. His 2021 work on modified post-DBS programming methods reflects an additional dedication to optimizing patient care beyond the operating room. Collectively, Gong's research meaningfully shapes both surgical practice and clinical decision-making in movement disorder treatment.
Research Focus
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