Richard M. Nelson
Boehringer Ingelheim (Germany), Boehringer Ingelheim (United States)
Papers
2
Total Citations
67
H-Index
2
About
Richard M. Nelson is a leading figure in the application of statistical design of experiments (DOE) to high-throughput screening (HTS) and assay optimization. His seminal work, "Assay Optimization: A Statistical Design of Experiments Approach," published in 2006 and 2007, has garnered over 67 combined citations, establishing a foundational methodology for the field. Nelson’s key contribution lies in demonstrating how recent advances in robotic liquid handling make it feasible to dramatically reduce assay optimization timelines through rigorous DOE. By addressing the critical bottleneck created by the transition from manual to robotic HTS, his research provides a practical, data-driven framework for improving assay robustness and efficiency. His work is essential reading for researchers in drug discovery and bioanalytical chemistry, offering a clear path from complex experimental design to actionable insights. Through his publications, Nelson has shaped how laboratories approach assay development, ensuring that statistical rigor keeps pace with automation.
Research Focus
Key Achievements
Top Papers
- 1Assay Optimization: A Statistical Design of Experiments Approach46 citations · 2007
- 2Assay Optimization: A Statistical Design of Experiments Approach21 citations · 2006