Lea Emmy Timpen
Papers
2
Total Citations
10
H-Index
2
About
Lea Emmy Timpen is an analytical chemist and biomedical researcher whose work sits at the intersection of metabolomics, clinical diagnostics, and cancer biology. Her primary research focus centers on the development and optimization of advanced liquid chromatography-mass spectrometry (LC-MS) methodologies for the precise quantification of amino acids and their metabolites in biological fluids. Timpen's most significant contribution to date involves pioneering an automated liquid handling extraction workflow coupled with dual-column U(H)PLC-MRM-MS, enabling rapid, high-throughput quantification of underivatized amino acids and tryptophan metabolites from human serum and plasma — a technically challenging analytical feat that eliminates time-consuming derivatization steps. This methodology has been applied to prostate cancer research, positioning her work at the forefront of cancer metabolomics and potential biomarker discovery. Her 2024 publication has already attracted 10 combined citations, reflecting the immediate relevance of her approach to the broader clinical and biochemical research community. For students and researchers in metabolomics or oncology diagnostics, Timpen's contributions represent a meaningful step toward accessible, scalable tools for understanding the metabolic signatures underlying complex diseases.
Research Focus
Key Achievements
Top Papers
- 1
- 2
Key Collaborators
Related papers
- Automated Liquid Handling Extraction and Rapid Quantification of Underivatized Amino Acids and Tryptophan Metabolites from Human Serum and Plasma Using Dual-Column U(H)PLC-MRM-MS and Its Application to Prostate Cancer Study
- Automated liquid handling extraction and rapid quantification of underivatized amino acids and tryptophan metabolites from human serum and plasma using dual-column U(H)PLC-MRM-MS and its application to prostate cancer study
- Salting-out assisted liquid-liquid extraction for UPLC-MS/MS determination of bile acids and kynurenine-, indole- and serotonin-pathway metabolites of tryptophan in human serum of healthy probands
- Fully automated peptide mapping multi-attribute method by liquid chromatography–mass spectrometry with robotic liquid handling system
- Comprehensive and Scalable Highly Automated MS-Based Proteomic Workflow for Clinical Biomarker Discovery in Human Plasma
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