Chanchal Kumar

Molecular Biology · 2006–2021

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Chanchal Kumar trusts overall

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

  1. Matthias Mann
  2. Jesper V. Olsen
  3. Shao-En Ong
  4. Joshua E. Elias
  5. R. Aebersold
  6. A. Makarov
  7. J. Kyte
  8. Juri Rappsilber
  9. Steven Maere
  10. I. Kratchmarova

Who trusts Chanchal Kumar overall

  1. Florian Gnad
  2. Matthias Mann
  3. Chunaram Choudhary

Papers from Chanchal Kumar's perspective

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

  1. Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* (Molecular & Cellular Proteomics)
  2. Mechanism of Divergent Growth Factor Effects in Mesenchymal Stem Cell Differentiation (Science)
  3. Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. (Analytical Chemistry)
  4. Large-scale characterization of HeLa cell nuclear phosphoproteins. (Proceedings of the National Academy of Sciences of the United States of America)
  5. Unbiased quantitative proteomics of lipid rafts reveals high specificity for signaling factors (Proceedings of the National Academy of Sciences of the United States of America)
  6. Trypsin Cleaves Exclusively C-terminal to Arginine and Lysine Residues*S (Molecular & Cellular Proteomics)
  7. Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations (Nature Methods)
  8. A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling (Nature Biotechnology)
  9. Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae (Nature Biotechnology)
  10. GoMiner: a resource for biological interpretation of genomic and proteomic data (Genome Biology)

Their papers