Wen-Wen Liu

Zhejiang University, Hefei University of Technology

Papers

4

Total Citations

221

H-Index

4

About

Wen-Wen Liu is a bioanalytical chemist and microfluidics researcher whose work has significantly advanced the field of droplet-based miniaturized assay systems. Liu's primary contributions center on developing innovative microfluidic platforms that enable precise, high-throughput biological and chemical analyses at the nanoliter scale. Most notably, Liu pioneered a microfluidic robot capable of printing two-dimensional droplet arrays for single-cell reverse transcription quantitative PCR, enabling accurate gene expression profiling in individual cells — a breakthrough that has garnered over 110 citations and represents a landmark contribution to single-cell genomics technology. Building on this foundation, Liu developed the surface-assisted multifactor fluid segmentation approach, allowing flexible multivolume digital PCR with broad applications in nucleic acid quantification, earning nearly 80 citations. Liu further extended droplet microfluidics into protein science, creating a femtomole-scale droplet thermal shift assay system for high-throughput protein-ligand screening, demonstrating versatility across biological disciplines. Additionally, Liu has explored precision measurement engineering, contributing to articulated arm coordinate measuring machine design. Across these diverse domains, Liu's research is unified by a commitment to miniaturization, automation, and sensitivity — making complex molecular analyses faster, cheaper, and more accessible for researchers worldwide.

Research Focus

Key Achievements

4
H-Index
4
Papers
221
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Printing 2-Dimentional Droplet Array for Single-Cell Reverse Transcription Quantitative PCR Assay with a Microfluidic Robot
111 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Zhejiang University, Hefei University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago