Hannah Boekweg
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Total Citations
125
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About
Hannah Boekweg is a trailblazer in the field of single-cell proteomics, where she has pioneered methods to unlock the protein landscape of individual cells. Her research centers on developing fully automated, low-input sample processing and analysis workflows, directly addressing the formidable challenge of profiling proteins from trace biological samples. Her most influential work, the 2020 paper "Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling," has garnered 125 citations, underscoring its impact on enabling reproducible, high-throughput single-cell analysis. Boekweg’s major contributions include the integration of custom fluidics for nanoliter sample handling and automated injection, which dramatically reduces sample loss and manual error. This innovation has made it feasible to profile protein expression in single mammalian cells—a feat previously hindered by sensitivity limits. Her achievements are not merely technical; they open new avenues for understanding cellular heterogeneity in health and disease. For students and researchers, Boekweg’s work exemplifies how engineering precision can bridge the gap between genomics and proteomics, offering a powerful toolkit for exploring biology at its most fundamental level.
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