Hyun Jung Kim

Papers

Total Citations

306

H-Index

About

Hyun Jung Kim is a rehabilitation science researcher whose work sits at the intersection of neurological recovery, assistive technology, and evidence-based clinical practice. Kim has made significant contributions to understanding how robotic and technology-assisted interventions can restore motor function in individuals with neurological injuries, particularly spinal cord injury. Her most influential work, a 2017 systematic review on robot-assisted gait training using the Lokomat system, has garnered over 300 citations, underscoring its widespread impact on rehabilitation medicine and clinical decision-making worldwide. This landmark study synthesized evidence around the neurophysiological mechanisms driving walking recovery after spinal cord injury — including central pattern generator activation and task-specific practice — helping to clarify both the promise and the limitations of emerging robotic rehabilitation technologies. By rigorously evaluating existing literature, Kim has helped bridge the gap between laboratory innovation and real-world clinical application, providing clinicians and policymakers with the evidence needed to make informed treatment decisions. Her scholarship continues to shape rehabilitation protocols globally, making her a respected voice in the growing field of neurorehabilitation and advancing the standard of care for individuals living with mobility-limiting neurological conditions.