Papers

8

Total Citations

170

H-Index

7

About

Giuseppe La Rosa is a prominent researcher specializing in neurorehabilitation technology, with a particular focus on robotic-assisted therapy for neurological conditions including stroke, spinal cord injury, and multiple sclerosis. His work sits at the critical intersection of clinical rehabilitation science and emerging robotic technologies, addressing the persistent gap between research evidence and real-world clinical practice. La Rosa's most influential contribution, a 2021 systematic review of clinical guidelines for upper limb robotic rehabilitation post-stroke (56 citations), established a foundational framework for translating research into practice. He has extended this expertise across multiple neurological populations, producing comprehensive reviews on robotic rehabilitation for cervical spinal cord injury (33 citations) and multiple sclerosis (15 citations), demonstrating breadth across complex patient groups. His 2022 overview of systematic reviews on robot-assisted arm therapy (21 citations) further solidified his role as a synthesizer of high-level evidence in the field. Notably, La Rosa contributed to the prestigious CICERONE Italian Consensus Conference, shaping national rehabilitation policy through evidence-based methodology. His more recent investigations into the cognitive benefits of robotic therapy reflect an evolving and nuanced understanding of neuroplasticity. With over 170 total citations, his body of work is shaping the future of technology-driven rehabilitation worldwide.

Research Focus

Key Achievements

7
H-Index
8
Papers
170
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Systematic review of guidelines to identify recommendations for upper limb robotic rehabilitation after stroke
56 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 58
🏛 Institutions: University of Catania, Regione Siciliana, Università Campus Bio-Medico

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago