Jack A. Kauffman

Papers

2

Total Citations

50

H-Index

2

About

Dr. Jack A. Kauffman is a pioneering figure in functional genomics and high-throughput screening (HTS), whose work has fundamentally advanced the integration of molecular biology with automated technologies. His major contributions center on developing robust, scalable methods for target validation and gene expression analysis, directly addressing the critical bottleneck between genomic discovery and therapeutic application. In his seminal 2004 paper, "High-Throughput siRNA-Based Functional Target Validation," Kauffman established a systematic framework for using RNA interference to assess gene function at an unprecedented scale, a methodology that has garnered over 33 citations and become a cornerstone of modern drug discovery pipelines. Complementing this, his work on "Gene Expression Analysis for High Throughput Screening Applications" introduced an automated TaqMan RT-PCR method using the Allegro system, enabling quantitative mRNA profiling with remarkable efficiency. This innovation, cited 17 times, allowed researchers to move beyond low-throughput techniques, facilitating rapid, reproducible analysis of thousands of samples. Kauffman’s achievements lie in bridging the gap between bench science and industrial-scale screening, empowering researchers to validate targets and profile gene expression with speed and precision. His legacy endures as a catalyst for translational genomics, inspiring a generation of scientists to embrace automation in molecular biology.

Research Focus

Key Achievements

2
H-Index
2
Papers
50
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
High-Throughput siRNA-Based Functional Target Validation
33 citations · 2004
📈 Most Prolific Year: 2004 (2 Papers)
🤝 Key Collaborators: 13

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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