Lukas N. Mueller
Molecular Biology · 2007–2009
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 32 citations into it; #9,344 of 17,773 by trust here, #7,574 by citations
- Spectroscopy — 31 citations into it; #773 of 1,674 by trust here, #494 by citations
Whom Lukas N. Mueller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Lukas N. Mueller overall
- Wenhong Zhu
- Chunaram Choudhary
- Fengchao Yu
- Karlie A. Neilson
- Jeffrey W. Smith
- Matthias Mann
- Tobias Maier
- Marc Sturm
Papers from Lukas N. Mueller's perspective
Ordered by how strongly the researchers Lukas N. Mueller trusts endorse each paper. Same corpus, a different order for every researcher.
- Mass spectrometry-based proteomics (Nature)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Global analysis of protein expression in yeast (Nature)
- PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows (EMBO Reports)
- Genomic expression programs in the response of yeast cells to environmental changes. (Molecular Biology of the Cell)
- Some methods for classification and analysis of multivariate observations
- Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
- Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast (Nature)
- Quantitative Mass Spectrometric Multiple Reaction Monitoring Assays for Major Plasma Proteins* (Molecular & Cellular Proteomics)
- Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. (Analytical Chemistry)
Their papers
- Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics (2009) — 795 citations
- An assessment of software solutions for the analysis of mass spectrometry based quantitative proteomics data. (2008) — 451 citations
- SuperHirn – a novel tool for high resolution LC‐MS‐based peptide/protein profiling (2007) — 349 citations
- Corrigendum: Identification of cross-linked peptides from large sequence databases (2008) — 156 citations