About

Grace Kim is a leading researcher in neurorehabilitation, specializing in robotic therapy for upper limb recovery after stroke. Her work bridges engineering and clinical practice, focusing on how technology can restore motor function in chronic stroke survivors. She pioneered the combined clinic-home approach for robotic therapy, demonstrating in her 2015 pilot study (45 citations) that patients can effectively continue rehabilitation outside clinical settings. Kim’s major contributions include rigorous psychometric evaluations, such as her validation of the Arm Motor Ability Test (AMAT-9), which has become a standard tool for assessing arm function in stroke research. Her 2017 randomized trial (27 citations) revealed how attentional focus—whether patients concentrate on movement outcomes versus body mechanics—significantly impacts motor learning during robotic training. She also advanced accessible technology with her electromyography-triggered hand robot (2019, 17 citations), showing feasibility for home-based hand therapy. Kim’s work on the compact Neuro-X® system addresses the critical barrier of cost and portability in robotic rehabilitation. With over 140 cumulative citations, her research has shaped how clinicians integrate robotics into stroke recovery, emphasizing patient adherence and personalized instruction to maximize outcomes.

Research Focus

Key Achievements

6
H-Index
8
Papers
144
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Combined Clinic-Home Approach for Upper Limb Robotic Therapy After Stroke: A Pilot Study
45 citations · 2015
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Cornell University, NewYork–Presbyterian Hospital, New York Hospital Queens, Jeonbuk National University Hospital, Kessler Foundation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago