Isabell Bludau
Heidelberg University(DE)University Hospital Heidelberg(DE)Max Planck Institute of Neurobiology(DE)Max Planck Institute of Biochemistry(DE)
Publications by Year
Research Areas
Advanced Proteomics Techniques and Applications, Bioinformatics and Genomic Networks, Mass Spectrometry Techniques and Applications, Metabolomics and Mass Spectrometry Studies, Machine Learning in Bioinformatics
Most-Cited Works
- → diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition(2020)899 cited
- → Multi-omic measurements of heterogeneity in HeLa cells across laboratories(2019)362 cited
- → Proteomic and interactomic insights into the molecular basis of cell functional diversity(2020)300 cited
- → Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses(2017)224 cited
- → AlphaPeptDeep: a modular deep learning framework to predict peptide properties for proteomics(2022)190 cited
- → Complex‐centric proteome profiling by SEC ‐ SWATH ‐ MS(2019)147 cited