Shun Sasaki

Keio University

Papers

2

Total Citations

40

H-Index

2

About

Shun Sasaki is a leading researcher at the intersection of rehabilitation robotics and neurorehabilitation, whose work focuses on restoring lower limb function in patients with stroke and spinal cord injury (SCI). His primary contributions lie in evaluating the efficacy of cutting-edge interventions that combine robotic assistance with neuromodulation. In a landmark 2022 systematic review and meta-analysis (21 citations), Sasaki demonstrated that robot-assisted gait training (RAGT) synergized with non-invasive brain stimulation (NIBS) significantly enhances lower limb recovery, providing a critical evidence base for combined therapeutic protocols. Complementing this, his scoping review on exoskeleton-assisted Body Weight-Supported Treadmill Training (BWSTT, 19 citations) systematically mapped the potential of this technology to deliver task-specific, high-repetition gait training with precise kinematic control for chronic stroke survivors. By synthesizing complex clinical data, Sasaki has clarified optimal rehabilitation strategies, bridging the gap between advanced neurotechnology and practical patient outcomes. His work is essential reading for clinicians and researchers seeking to integrate robotics and brain stimulation into evidence-based neurorehabilitation.

Research Focus

Key Achievements

2
H-Index
2
Papers
40
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
The effects of robot-assisted gait training combined with non-invasive brain stimulation on lower limb function in patients with stroke and spinal cord injury: A systematic review and meta-analysis
21 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Keio University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago