Ting Song

Columbia University

Papers

1

Total Citations

9

H-Index

1

About

Ting Song is a researcher whose work bridges the precision of microengineering with the practical demands of structural biology. Best known for the 2006 paper "Automated streak-seeding with micromachined silicon tools," Song introduced a novel method for protein crystallization using custom-designed silicon microtools. This innovation offered a rigid, accurately calibrated alternative to traditional boar bristles, enabling more reproducible and automated seeding processes—a critical step in determining protein structures. Although the paper has garnered 9 citations, its impact lies in its methodological contribution to the field, providing a foundation for high-throughput crystallization techniques. Song’s work reflects a commitment to refining laboratory tools, where even small improvements in precision can accelerate discoveries in biochemistry and drug design. By merging materials science with biological research, Song has helped streamline the path from protein to structure, a key achievement for researchers seeking reliable, scalable methods in structural genomics.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Automated streak-seeding with micromachined silicon tools
9 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Columbia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago