Na Young Kim

Yonsei University

Papers

1

Total Citations

79

H-Index

1

About

Na Young Kim is a prominent rehabilitation medicine researcher whose work sits at the intersection of neurological recovery and advanced therapeutic technologies. Her research focuses primarily on spinal cord injury rehabilitation, robotic-assisted therapy, and functional motor recovery, contributing significantly to evidence-based approaches in neurorehabilitation. Kim's most influential contribution examines the comparative effectiveness of robotic-assisted gait training (RAGT) versus conventional overground training in patients with incomplete spinal cord injury. Through a rigorous prospective randomized clinical trial involving 60 patients, this landmark 2014 study — which has garnered 79 citations — provided critical clinical evidence to guide therapeutic decision-making for SCI rehabilitation practitioners worldwide. By directly comparing emerging robotic technologies against established conventional methods, her research helped establish both the potential and the appropriate clinical context for incorporating robotic systems into standard rehabilitation protocols. Kim's scholarship addresses a patient population where functional recovery profoundly impacts quality of life, making her contributions particularly meaningful to clinicians, engineers, and patients alike. Her systematic, trial-based methodology exemplifies rigorous clinical research standards, and her work continues to inform global rehabilitation guidelines and inspire ongoing investigation into technology-assisted motor recovery following spinal cord injury.

Research Focus

Key Achievements

1
H-Index
1
Papers
79
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
Effect of Robotic-Assisted Gait Training in Patients With Incomplete Spinal Cord Injury
79 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Yonsei University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago