Shao-En Ong

Molecular Biology · 2001–2008

A researcher in the Science corpus: 10 papers; trusts 16 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Shao-En Ong trusts overall

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

  1. Matthias Mann
  2. I. Kratchmarova
  3. R. Aebersold
  4. Jesper V. Olsen
  5. Andrej Shevchenko
  6. Blagoy Spasov Blagoev
  7. A. Gruhler
  8. Juri Rappsilber
  9. Alexey I. Nesvizhskii
  10. Steven A. Carr

Who trusts Shao-En Ong overall

  1. Matthias Mann
  2. Jesper V. Olsen
  3. Jüergen Cox
  4. John R. Yates III
  5. M. Krüger
  6. V. Lange
  7. Andrej Shevchenko
  8. Chunaram Choudhary
  9. A. Gruhler
  10. M. Vermeulen

Papers from Shao-En Ong's perspective

Ordered by how strongly the researchers Shao-En Ong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mass spectrometry-based proteomics (Nature)
  2. Proteomics to study genes and genomes (Nature)
  3. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* (Molecular & Cellular Proteomics)
  4. Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. (Analytical Chemistry)
  5. Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae (Nature Biotechnology)
  6. A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling (Nature Biotechnology)
  7. Oncogenic kinase signalling (Nature)
  8. The Need for Guidelines in Publication of Peptide and Protein Identification Data (Molecular & Cellular Proteomics)
  9. Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (Nature)
  10. A statistical model for identifying proteins by tandem mass spectrometry.

Their papers