Hannes L. Röst
Molecular Biology · 2012–2020
A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 88 citations into it
- Spectroscopy — 79 citations into it
Whom Hannes L. Röst trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hannes L. Röst overall
Papers from Hannes L. Röst's perspective
Ordered by how strongly the researchers Hannes L. Röst trusts endorse each paper. Same corpus, a different order for every researcher.
- More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS. (Journal of Proteome Research)
- Global analysis of protein expression in yeast (Nature)
- Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast (Nature)
- Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma (Nature Biotechnology)
- TANDEM: matching proteins with tandem mass spectra. (Bioinformatics)
- Options and considerations when selecting a quantitative proteomics strategy (Nature Biotechnology)
- Mass Spectrometry and Protein Analysis (Science)
- Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics (Cell)
- KEGG for representation and analysis of molecular networks involving diseases and drugs (Nucleic Acids Res.)
- mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
Their papers
- Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* (2012) — 2,509 citations
- OpenMS: a flexible open-source software platform for mass spectrometry data analysis (2016) — 599 citations
- A repository of assays to quantify 10,000 human proteins by SWATH-MS (2014) — 400 citations
- BioContainers: an open-source and community-driven framework for software standardization (2017) — 759 citations
- A multi-center study benchmarks software tools for label-free proteome quantification (2016) — 316 citations
- diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition (2020) — 734 citations
- From hype to reality: data science enabling personalized medicine (2018) — 359 citations