Oliver M. Bernhardt - Concepedia

Author

Oliver M. Bernhardt

Also Known As

Bernhardt, Oliver, Bernhardt, Oliver M., Oliver Bernhardt, Oliver M Bernhardt, Oliver M. Bernhardt, Oliver Martin Bernhardt

Publications

3.7K

Citations

H-Index

Concepts

All Affiliations

Biognosys (Switzerland)ETH Zurich University of Michigan Northeastern University University of Washington

About

Oliver M. Bernhardt is an author at Biognosys (Switzerland) specializing in medicine, proteomics, and mass spectrometry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	6	6	916
2	Natural Sciences	5	5	772
3	Biochemistry	2	2	200
4	Biostatistics	2	2	277
5	Engineering	1	1	144

Oliver M. Bernhardt

Publications

3.6K

Citations

H-Index

Page 1

	Year	Citations
Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues Roland Bruderer, Oliver M. Bernhardt, Tejas Gandhi, Molecular & Cellular Proteomics	2015	1.2K
Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results Roland Bruderer, Oliver M. Bernhardt, Tejas Gandhi, Molecular & Cellular Proteomics	2017	532
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries Dorte B. Bekker‐Jensen, Oliver M. Bernhardt, Alexander Hogrebe, Nature Communications	2020	423
A multicenter study benchmarks software tools for label-free proteome quantification Pedro Navarro, Jörg Kuharev, Ludovic Gillet, Nature Biotechnology Functional GenomicsMedicineNatural SciencesComputational BiologyMolecular Biology	2016	375
Analysis of 1508 Plasma Samples by Capillary-Flow Data-Independent Acquisition Profiles Proteomics of Weight Loss and Maintenance Roland Bruderer, Jan Muntel, Sebastian Müller, Molecular & Cellular Proteomics	2019	190
Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry * Nathalie Selevsek, Ching-Yun Chang, Ludovic Gillet, Molecular & Cellular Proteomics	2015	184
Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy Jan Muntel, Tejas Gandhi, Lynn Verbeke, Molecular Omics Molecular BiologyPathologyHybrid LibrariesProteomic TechnologyComprehensive Proteome Quantification	2019	176
High‐precision iRT prediction in the targeted analysis of data‐independent acquisition and its impact on identification and quantitation Roland Bruderer, Oliver M. Bernhardt, Tejas Gandhi, PROTEOMICS EngineeringBiological Mass SpectrometryMolecular BiologyReal-time DataTargeted Analysis	2016	144
MassIVE.quant: a community resource of quantitative mass spectrometry–based proteomics datasets Meena Choi, Jeremy Carver, Cristina Chiva, Nature Methods Proteomic TechnologyMedicineNatural SciencesOmics DatasetsMass Spectrometry	2020	133
MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at Scale Devon Kohler, Mateusz Staniak, Tsung‐Heng Tsai, Journal of Proteome Research	2023	106

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