Eric W. Deutsch

Molecular Biology · 2002–2022

A researcher in the Science corpus: 19 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Eric W. Deutsch trusts overall

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

  1. Alexey I. Nesvizhskii
  2. R. Craig
  3. R. Aebersold
  4. Ronald C. Beavis
  5. Alejandro Wolf-Yadlin
  6. Lennart Martens
  7. Henry H. N. Lam
  8. B. Domon
  9. Jimmy K. Eng
  10. Matthew Chambers

Who trusts Eric W. Deutsch overall

  1. Alexey I. Nesvizhskii
  2. David D. Shteynberg
  3. Luis Mendoza
  4. UniProt Consortium
  5. Paola Picotti
  6. Juan Antonio Vizcaíno
  7. Chih-Chiang Tsou
  8. Zhi Sun
  9. R. Aebersold
  10. Dmitry Avtonomov

Papers from Eric W. Deutsch's perspective

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

  1. A common open representation of mass spectrometry data and its application to proteomics research (Nature Biotechnology)
  2. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. (Analytical Chemistry)
  3. Open mass spectrometry search algorithm. (Journal of Proteome Research)
  4. Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS. (Analytical Chemistry)
  5. The Need for Guidelines in Publication of Peptide and Protein Identification Data (Molecular & Cellular Proteomics)
  6. Quantitative mass spectrometry in proteomics: a critical review (Analytical and Bioanalytical Chemistry)
  7. A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics (Journal of Proteomics)
  8. A Guided Tour of the Trans-Proteomic Pipeline (Proteomics)
  9. Analysis and validation of proteomic data generated by tandem mass spectrometry (Nature Methods)
  10. Interpretation of Shotgun Proteomic Data (Molecular & Cellular Proteomics)

Their papers