Papers

9

Total Citations

272

H-Index

7

About

Stefania Dalise is a rehabilitation medicine researcher whose work sits at the intersection of neurological rehabilitation, robotic-assisted therapy, and neurotechnology. Her scholarship has profoundly shaped clinical understanding of how robotic devices can restore motor function across a range of disabling conditions, including stroke, multiple sclerosis, spinal cord injury, and Parkinson's disease. Dalise's most influential contribution — a 2021 systematic review on robotic-assisted gait rehabilitation following stroke, now cited over 125 times — helped consolidate fragmented evidence into actionable clinical guidelines, addressing a critical gap between research protocols and everyday practice. Alongside parallel reviews on multiple sclerosis (38 citations) and Parkinson's disease (30 citations), her work has helped establish evidence-based frameworks through collaborations such as the CICERONE Italian Consensus initiative. Beyond gait rehabilitation, Dalise has expanded her research into upper limb recovery and advanced prosthetics, including pioneering work on the myokinetic prosthetic hand using implanted magnets to restore grasping in amputees (23 citations). Her neurophysiological investigations into cortico-muscular connectivity during Lokomat-assisted gait further illuminate the neural mechanisms underpinning robotic rehabilitation. Collectively, her research equips clinicians worldwide with both the evidence and practical tools to optimize recovery in patients with complex neurological disabilities.

Research Focus

Key Achievements

7
H-Index
9
Papers
272
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted gait rehabilitation following stroke: a systematic review of current guidelines and practical clinical recommendations
125 citations · 2021
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 68
🏛 Institutions: University of Pisa, Azienda Ospedaliera Universitaria Pisana

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago