A. Gruhler

Molecular Biology · 2002–2005

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

Subfields

Whom A. Gruhler trusts overall

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

  1. Shao-En Ong
  2. Matthias Mann
  3. I. Kratchmarova
  4. Jesper V. Olsen
  5. Juri Rappsilber
  6. Blagoy Spasov Blagoev
  7. Ole Nørregaard Jensen
  8. Jens S. Andersen
  9. S. Beausoleil
  10. T. Hunter

Who trusts A. Gruhler overall

  1. Shao-En Ong
  2. Matthias Mann
  3. J. Villén
  4. John R. Yates III
  5. Jesper V. Olsen
  6. Steven P. Gygi
  7. Eran Segal
  8. G. MacBeath
  9. C. Ruse

Papers from A. Gruhler's perspective

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

  1. Mass spectrometry-based proteomics (Nature)
  2. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* (Molecular & Cellular Proteomics)
  3. Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae (Nature Biotechnology)
  4. Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. (Analytical Chemistry)
  5. A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling (Nature Biotechnology)
  6. Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry. (Proceedings of the National Academy of Sciences of the United States of America)
  7. Signaling and circuitry of multiple MAPK pathways revealed by a matrix of global gene expression profiles. (Science)
  8. Large-scale characterization of HeLa cell nuclear phosphoproteins. (Proceedings of the National Academy of Sciences of the United States of America)
  9. Protein kinases — the major drug targets of the twenty-first century? (Nature reviews. Drug discovery)
  10. Protein-protein interactions define specificity in signal transduction. (Genes & Development)

Their papers