Jennifer Fournier
Papers
1
Total Citations
19
H-Index
1
About
Jennifer Fournier is a leading figure in the field of glycobiology, with a particular focus on advancing the analytical methods used to study complex carbohydrates. Her research centers on the development of high-throughput, automated workflows for glycan analysis, addressing a critical bottleneck in the field. Fournier’s most notable contribution is the pioneering work on the automated preparation of MS-sensitive, fluorescently labeled N-glycans using a commercial pipetting robot, a method detailed in her highly cited 2018 paper (19 citations). This innovation dramatically reduces manual labor and variability, enabling reproducible, large-scale glycomic studies essential for biomarker discovery and biopharmaceutical quality control. By integrating robotics with sensitive mass spectrometry and fluorescent labeling, Fournier has made sophisticated glycan analysis more accessible and efficient. Her work stands as a key achievement in the push toward standardized, high-throughput glycoproteomics, directly impacting researchers in both academia and industry who seek to unravel the roles of glycosylation in health and disease.
Research Focus
Key Achievements
Top Papers
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