Jesper V. Olsen

Molecular Biology · 2003–2011

A researcher in the Science corpus: 16 papers; trusts 19 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Molecular Biology — 223 citations into it; #1,235 of 17,773 by trust here, #979 by citations
Spectroscopy — 121 citations into it; #93 of 1,674 by trust here, #30 by citations
Cell Biology — 20 citations into it; #1,806 of 2,073 by trust here, #784 by citations
Cancer Research — 19 citations into it
Biomedical Engineering — 7 citations into it
Computational Mechanics — 7 citations into it

Whom Jesper V. Olsen trusts overall

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

Who trusts Jesper V. Olsen overall

Papers from Jesper V. Olsen's perspective

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

Mass spectrometry-based proteomics (Nature)
Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* (Molecular & Cellular Proteomics)
A probability-based approach for high-throughput protein phosphorylation analysis and site localization (Nature Biotechnology)
Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. (Analytical Chemistry)
Oncogenic kinase signalling (Nature)
Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations (Nature Methods)
Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae (Nature Biotechnology)
Large-scale characterization of HeLa cell nuclear phosphoproteins. (Proceedings of the National Academy of Sciences of the United States of America)
Mechanism of Divergent Growth Factor Effects in Mesenchymal Stem Cell Differentiation (Science)
A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling (Nature Biotechnology)

Their papers

Lysine Acetylation Targets Protein Complexes and Co-Regulates Major Cellular Functions (2009) — 4,055 citations
Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast (2008) — 926 citations
Parts per Million Mass Accuracy on an Orbitrap Mass Spectrometer via Lock Mass Injection into a C-trap*S (2005) — 1,514 citations
Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. (2006) — 3,603 citations
Trypsin Cleaves Exclusively C-terminal to Arginine and Lysine Residues*S (2004) — 1,167 citations
Andromeda: a peptide search engine integrated into the MaxQuant environment. (2011) — 5,450 citations
Quantitative Phosphoproteomics Applied to the Yeast Pheromone Signaling Pathway*S (2005) — 794 citations
Higher-energy C-trap dissociation for peptide modification analysis (2007) — 993 citations
PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites (2007) — 479 citations
Integrated analysis of protein composition, tissue diversity, and gene regulation in mouse mitochondria. (2003) — 908 citations
In-gel digestion for mass spectrometric characterization of proteins and proteomes (2006) — 4,972 citations
Quantitative interaction proteomics and genome-wide profiling of epigenetic histone marks and their readers. (2010) — 834 citations
Kinase-selective enrichment enables quantitative phosphoproteomics of the kinome across the cell cycle. (2008) — 618 citations
Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis (2010) — 1,529 citations
A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics (2009) — 802 citations
The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins (2006) — 650 citations