Christina Ludwig

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christina Ludwig trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. R. Aebersold
  2. Matthias Mann
  3. V. Lange
  4. Lukas Käll
  5. John D. Venable
  6. Jeffrey C. Silva
  7. Jüergen Cox
  8. Philipp E. Geyer
  9. Ludovic C. Gillet
  10. G. McAlister

Papers from Christina Ludwig's perspective

Ordered by how strongly the researchers Christina Ludwig trusts endorse each paper. Same corpus, a different order for every researcher.

  1. MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments (Bioinform.)
  2. Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis* (Molecular & Cellular Proteomics)
  3. Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
  4. Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ (Molecular & Cellular Proteomics)
  5. Plasma Proteome Profiling to Assess Human Health and Disease. (Cell Systems)
  6. Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra (Nature Methods)
  7. MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes (Analytical Chemistry)
  8. Mass-spectrometry-based draft of the human proteome (Nature)
  9. Selected reaction monitoring for quantitative proteomics: a tutorial (Molecular Systems Biology)
  10. Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues (Molecular & Cellular Proteomics)

Their papers