Lukas Reiter
Molecular Biology · 2009–2019
A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 89 citations into it; #13,700 of 17,773 by trust here, #5,084 by citations
- Spectroscopy — 86 citations into it; #1,229 of 1,674 by trust here, #258 by citations
Whom Lukas Reiter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roger E. Moore
- Alexey I. Nesvizhskii
- Joshua E. Elias
- John D. Storey
- R. Aebersold
- Sangtae Kim
- M. K. Young
- Steven P. Gygi
- Shao-En Ong
- Terry D. Lee
Who trusts Lukas Reiter overall
- Fengchao Yu
- Ludovic C. Gillet
- Lindsay K. Pino
- Chih-Chiang Tsou
- Alexey I. Nesvizhskii
- Pedro Navarro
- B. Searle
- S. Haynes
- Eric W. Deutsch
Papers from Lukas Reiter's perspective
Ordered by how strongly the researchers Lukas Reiter trusts endorse each paper. Same corpus, a different order for every researcher.
- Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. (Analytical Chemistry)
- Large-scale analysis of the yeast proteome by multidimensional protein identification technology (Nature Biotechnology)
- Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry (Nature Methods)
- Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* (Molecular & Cellular Proteomics)
- A model for random sampling and estimation of relative protein abundance in shotgun proteomics. (Analytical Chemistry)
- A common open representation of mass spectrometry data and its application to proteomics research (Nature Biotechnology)
- Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
- Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma (Nature Biotechnology)
- Spectral Probabilities and Generating Functions of Tandem Mass Spectra: a Strike Against Decoy Databases (Journal of Proteome Research)
- Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Protein Identification False Discovery Rates for Very Large Proteomics Data Sets Generated by Tandem Mass Spectrometry* (2009) — 317 citations
- 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
- mProphet: automated data processing and statistical validation for large-scale SRM experiments (2011) — 512 citations
- Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues (2015) — 992 citations
- A multi-center study benchmarks software tools for label-free proteome quantification (2016) — 316 citations
- Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries (2019) — 355 citations