Matthew D. Troutman
Papers
2
Total Citations
47
H-Index
2
About
Matthew D. Troutman is a leading researcher in the fields of drug metabolism, bioanalytical method development, and laboratory automation. His work has significantly advanced the efficiency and reliability of high-throughput screening for drug-metabolizing enzymes, with a particular focus on optimizing assays for precision and robustness. His most influential paper, "Optimizing ELISAs for precision and robustness using laboratory automation and statistical design of experiments" (2008, 40 citations), introduced a systematic framework that has become a cornerstone for researchers seeking to enhance assay reproducibility. More recently, Troutman pioneered a novel multiplexed high-throughput screening approach for identifying selective inhibitors of drug-metabolizing enzymes using human hepatocytes (2024, 7 citations), a breakthrough that promises to accelerate early-stage drug discovery and reduce reliance on animal models. His contributions have not only improved experimental workflows but also set new standards for data quality in pharmaceutical research. Troutman’s work continues to inspire students and researchers aiming to integrate automation and statistical rigor into their own studies.
Research Focus
Key Achievements
Top Papers
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