Bailin Song

Changchun University of Chinese Medicine

Papers

1

Total Citations

7

H-Index

1

About

Bailin Song is a rehabilitation researcher whose work focuses on evidence-based approaches to post-stroke recovery, particularly through traditional Chinese therapeutic techniques. Her primary research areas include stroke rehabilitation, spasticity management, and the clinical evaluation of tuina—a form of Chinese therapeutic massage—as a complementary intervention for neurological deficits. Song’s major contribution lies in systematically assessing the efficacy and safety of tuina for post-stroke spasticity, a common and debilitating complication that often lacks robust supportive evidence. Her 2020 protocol for a systematic review and meta-analysis on this topic, which has garnered 7 citations, establishes a rigorous methodological framework for evaluating non-pharmacological rehabilitation strategies. This work addresses a critical gap in integrative stroke care, bridging traditional practice with modern evidence standards. By designing protocols that prioritize transparency and reproducibility, Song helps lay the groundwork for future clinical trials and meta-analyses that could validate tuina’s role in reducing muscle hypertonia and improving motor function. Her research is particularly valuable for clinicians and rehabilitation scientists seeking to integrate culturally rooted therapies into mainstream post-stroke care, offering a pathway toward more holistic, patient-centered recovery models.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Tuina for spasticity of poststroke: protocol of a systematic review and meta-analysis
7 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Changchun University of Chinese Medicine

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago