| MaxQuant enables high peptide identification rates, individualized ppb-range mass accuracies and proteome-wide protein quantification J Cox, M Mann Nature biotechnology 26 (12), 1367-1372, 2008 | 8316 | 2008 |
| Andromeda: a peptide search engine integrated into the MaxQuant environment J Cox, N Neuhauser, A Michalski, RA Scheltema, JV Olsen, M Mann Journal of proteome research 10 (4), 1794-1805, 2011 | 3229 | 2011 |
| Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ J Cox, MY Hein, CA Luber, I Paron, N Nagaraj, M Mann Molecular & cellular proteomics 13 (9), 2513-2526, 2014 | 2086 | 2014 |
| The Perseus computational platform for comprehensive analysis of (prote) omics data S Tyanova, T Temu, P Sinitcyn, A Carlson, MY Hein, T Geiger, M Mann, ... Nature methods 13 (9), 731-740, 2016 | 2000 | 2016 |
| Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis JV Olsen, M Vermeulen, A Santamaria, C Kumar, ML Miller, LJ Jensen, ... Science signaling 3 (104), ra3-ra3, 2010 | 1301 | 2010 |
| The PRIDE database and related tools and resources in 2019: improving support for quantification data Y Perez-Riverol, A Csordas, J Bai, M Bernal-Llinares, S Hewapathirana, ... Nucleic acids research 47 (D1), D442-D450, 2019 | 1131 | 2019 |
| Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast LMF De Godoy, JV Olsen, J Cox, ML Nielsen, NC Hubner, F Fröhlich, ... Nature 455 (7217), 1251-1254, 2008 | 946 | 2008 |
| Deep proteome and transcriptome mapping of a human cancer cell line N Nagaraj, JR Wisniewski, T Geiger, J Cox, M Kircher, J Kelso, S Pääbo, ... Molecular systems biology 7 (1), 548, 2011 | 889 | 2011 |
| The MaxQuant computational platform for mass spectrometry-based shotgun proteomics S Tyanova, T Temu, J Cox Nature protocols 11 (12), 2301, 2016 | 876 | 2016 |
| Mass spectrometry-based proteomics using Q Exactive, a high-performance benchtop quadrupole Orbitrap mass spectrometer A Michalski, E Damoc, JP Hauschild, O Lange, A Wieghaus, A Makarov, ... Molecular & Cellular Proteomics 10 (9), 2011 | 767 | 2011 |
| A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics J Cox, I Matic, M Hilger, N Nagaraj, M Selbach, JV Olsen, M Mann Nature protocols 4 (5), 698-705, 2009 | 730 | 2009 |
| A proteome-wide, quantitative survey of in vivo ubiquitylation sites reveals widespread regulatory roles SA Wagner, P Beli, BT Weinert, ML Nielsen, J Cox, M Mann, C Choudhary Molecular & Cellular Proteomics 10 (10), 2011 | 729 | 2011 |
| A human interactome in three quantitative dimensions organized by stoichiometries and abundances MY Hein, NC Hubner, I Poser, J Cox, N Nagaraj, Y Toyoda, IA Gak, ... Cell 163 (3), 712-723, 2015 | 657 | 2015 |
| Quantitative, high-resolution proteomics for data-driven systems biology J Cox, M Mann Annual review of biochemistry 80, 273-299, 2011 | 652 | 2011 |
| Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins T Geiger, A Wehner, C Schaab, J Cox, M Mann Molecular & Cellular Proteomics 11 (3), 2012 | 627 | 2012 |
| Ultradeep human phosphoproteome reveals a distinct regulatory nature of Tyr and Ser/Thr-based signaling K Sharma, RCJ D’Souza, S Tyanova, C Schaab, JR Wiśniewski, J Cox, ... Cell reports 8 (5), 1583-1594, 2014 | 558 | 2014 |
| More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC− MS/MS A Michalski, J Cox, M Mann Journal of proteome research 10 (4), 1785-1793, 2011 | 548 | 2011 |
| Super-SILAC mix for quantitative proteomics of human tumor tissue T Geiger, J Cox, P Ostasiewicz, JR Wisniewski, M Mann Nature methods 7 (5), 383-385, 2010 | 536 | 2010 |
| Quantitative proteomics reveals subset-specific viral recognition in dendritic cells CA Luber, J Cox, H Lauterbach, B Fancke, M Selbach, J Tschopp, S Akira, ... Immunity 32 (2), 279-289, 2010 | 495 | 2010 |
| PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites F Gnad, S Ren, J Cox, JV Olsen, B Macek, M Oroshi, M Mann Genome biology 8 (11), 1-13, 2007 | 481 | 2007 |
