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George Rosenberger

Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial
2018 · Christina Ludwig, Ludovic Gillet, et al. · Molecular Systems Biology · 1,011
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OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data
2014 · Hannes L Röst, George Rosenberger, et al. · Nature Biotechnology · 769
OpenMS: a flexible open-source software platform for mass spectrometry data analysis
2016 · Hannes L Röst, Timo Sachsenberg, et al. · Nature Methods · 697
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Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry
2017 · Ben C. Collins, Christie L. Hunter, et al. · Nature Communications · 575
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dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts
2022 · Vadim Demichev, Lukasz Szyrwiel, et al. · Nature Communications · 444
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A repository of assays to quantify 10,000 human proteins by SWATH-MS
2014 · George Rosenberger, Ching Chiek Koh, et al. · Scientific Data · 413
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Rapid mass spectrometric conversion of tissue biopsy samples into permanent quantitative digital proteome maps
2015 · Tiannan Guo, Petri Kouvonen, et al. · Nature Medicine · 376
A multicenter study benchmarks software tools for label-free proteome quantification
2016 · Pedro Navarro, Jörg Kuharev, et al. · Nature Biotechnology · 346
Quantifying protein interaction dynamics by SWATH mass spectrometry: application to the 14-3-3 system
2013 · Ben C Collins, Ludovic C Gillet, et al. · Nature Methods · 314
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Building high-quality assay libraries for targeted analysis of SWATH MS data
2015 · Olga T Schubert, Ludovic C Gillet, et al. · Nature Protocols · 309
Quantitative proteomics: challenges and opportunities in basic and applied research
2017 · Olga T Schubert, Hannes L Röst, et al. · Nature Protocols · 277
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Absolute Proteome Composition and Dynamics during Dormancy and Resuscitation of Mycobacterium tuberculosis
2015 · Olga T. Schubert, Christina Ludwig, et al. · Cell Host & Microbe · 210
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Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses
2017 · George Rosenberger, Isabell Bludau, et al. · Nature Methods · 203
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TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics
2016 · Hannes L Röst, Yansheng Liu, et al. · Nature Methods · 175
The Mtb Proteome Library: A Resource of Assays to Quantify the Complete Proteome of Mycobacterium tuberculosis
2013 · Olga T. Schubert, Jeppe Mouritsen, et al. · Cell Host & Microbe · 174
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Cross-Link Guided Molecular Modeling with ROSETTA
2013 · Abdullah Kahraman, Franz Herzog, et al. · PLoS ONE · 167
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Complex‐centric proteome profiling by SEC‐SWATH‐MS
2019 · Moritz Heusel, Isabell Bludau, et al. · Molecular Systems Biology · 141
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Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS
2017 · George Rosenberger, Yansheng Liu, et al. · Nature Biotechnology · 127
Kinase Interaction Network Expands Functional and Disease Roles of Human Kinases
2020 · Marija Buljan, Rodolfo Ciuffa, et al. · Molecular Cell · 117
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xTract: software for characterizing conformational changes of protein complexes by quantitative cross-linking mass spectrometry
2015 · Thomas Walzthoeni, Lukasz A Joachimiak, et al. · Nature Methods · 106
Global and Site-Specific Effect of Phosphorylation on Protein Turnover
2020 · Chongde Wu, Qian Ba, et al. · Developmental Cell · 103
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DIANA—algorithmic improvements for analysis of data-independent acquisition MS data
2014 · Johan Teleman, Hannes L Röst, et al. · Bioinformatics · 100
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Identification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass Spectrometry
2015 · Sarah J. Parker, Hannes Rost, et al. · Molecular & Cellular Proteomics · 93
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Systematic detection of functional proteoform groups from bottom-up proteomic datasets
2021 · Isabell Bludau, Max Frank, et al. · Nature Communications · 87
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Isoform‐resolved correlation analysis between mRNA abundance regulation and protein level degradation
2020 · Barbora Salovska, Hongwen Zhu, et al. · Molecular Systems Biology · 72
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Works count: 90
Citation count: 8,040
H-index: 32
I10-index: 40
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