Papers

1

Total Citations

4

H-Index

1

About

Qian Mei is a biomedical researcher whose work centers on advancing molecular diagnostics, with a particular focus on nucleic acid extraction technologies and their application in clinical pathology. Her most notable contribution is the development of an automated system that leverages high-intensity focused ultrasound (HIFU) technology for nucleic acid extraction from formalin-fixed paraffin-embedded (FFPE) samples, a notoriously challenging substrate due to crosslinking and degradation. This innovation, detailed in her 2022 paper, streamlines a critical bottleneck in genomic analysis, enabling more reliable and efficient retrieval of DNA and RNA from archived tissue specimens. While her work has garnered early recognition with 4 citations, its practical significance lies in its potential to enhance downstream applications such as cancer genomics and personalized medicine. Mei’s research bridges engineering and biology, offering a non-invasive, automated solution that reduces manual labor and contamination risks. Her achievements underscore a commitment to translating technical advances into tangible improvements for laboratory workflows and diagnostic accuracy, positioning her as an emerging voice in the field of molecular pathology and sample preparation technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
An automated system for nucleic acid extraction from formalin-fixed paraffin-embedded samples using high intensity focused ultrasound technology
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Science and Technology of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago