Meiling Teng

Papers

1

Total Citations

55

H-Index

1

About

Meiling Teng has established herself as a leading voice in neurorehabilitation, with a focused expertise in evaluating the efficacy of robotic and technology-assisted interventions for stroke survivors. Her most impactful work, a systematic review and meta-analysis published in 2021, rigorously examined the effects of robot-assisted training on balance function in post-stroke patients. By synthesizing data from major databases including PubMed, Cochrane Library, and Embase, Teng provided critical evidence that robot-assisted therapy can significantly improve balance outcomes, offering a data-driven foundation for clinical practice. This landmark study has garnered 55 citations, underscoring its influence on rehabilitation protocols. Teng's research bridges the gap between emerging robotic technologies and tangible patient recovery, addressing a key challenge in stroke rehabilitation: restoring postural control and preventing falls. Her contributions are particularly valuable for clinicians and researchers seeking to integrate evidence-based, high-tech solutions into traditional therapy. Through her meticulous meta-analytical approach, Teng has not only advanced the scientific understanding of motor recovery but also paved the way for more personalized, effective rehabilitation strategies that enhance quality of life for stroke survivors worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
55
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robot-assisted training on balance function in patients with stroke: A systematic review and meta-analysis
55 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago