Cox, Jürgen

MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification

Cox, J., & Mann, M. (2008) · Nature Biotechnology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 14,855

Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ

Cox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 5,180

Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast

de Godoy, L. M. F., Olsen, J. V., Cox, J., Nielsen, M. L., Hubner, N. C., Fröhlich, F., Walther, T. C., & Mann, M. (2008) · Nature

Advanced Proteomics Techniques and ApplicationsFungal and yeast genetics research

Cited by 873

Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry

Bassani-Sternberg, M., Bräunlein, E., Klar, R., Engleitner, T., Sinitcyn, P., Audehm, S., Straub, M., Weber, J., Slotta-Huspenina, J., Specht, K., et al. (2016) · Nature Communications

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 693

A “Proteomic Ruler” for Protein Copy Number and Concentration Estimation without Spike-in Standards

Wiśniewski, J. R., Hein, M. Y., Cox, J., & Mann, M. (2014) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 690

Quantitative proteomics reveals subset-specific viral recognition in dendritic cells

Luber, C. A., Cox, J., Lauterbach, H., Fancke, B., Selbach, M., Tschopp, J., Akira, S., Wiegand, M., Hochrein, H., O'Keeffe, M., et al. (2010) · Immunity

Immunotherapy and Immune ResponsesAdvanced Proteomics Techniques and Applications

Cited by 576

In-Vivo Quantitative Proteomics Reveals a Key Contribution of Post-Transcriptional Mechanisms to the Circadian Regulation of Liver Metabolism

Robles, M. S., Cox, J., & Mann, M. (2014) · PLoS Genetics

Circadian rhythm and melatoninAdvanced Proteomics Techniques and Applications

Cited by 383

The Coming Age of Complete, Accurate, and Ubiquitous Proteomes

Mann, M., Kulak, N. A., Nagaraj, N., & Cox, J. (2013) · Molecular Cell

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 350

Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) and Proteome Quantitation of Mouse Embryonic Stem Cells to a Depth of 5,111 Proteins

Graumann, J., Hubner, N. C., Kim, J. B., Ko, K., Moser, M., Kumar, C., Cox, J., Schöler, H., & Mann, M. (2008) · Molecular & Cellular Proteomics

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 275

Organellar proteomics and phospho-proteomics reveal subcellular reorganization in diet-induced hepatic steatosis

Krahmer, N., Najafi, B., Schueder, F., Quagliarini, F., Steger, M., Seitz, S., Kasper, R., Salinas, F., Cox, J., Uhlenhaut, N. H., et al. (2018) · Developmental Cell

Liver Disease Diagnosis and TreatmentLipid metabolism and biosynthesis

Cited by 188

Defining the Adult Neural Stem Cell Niche Proteome Identifies Key Regulators of Adult Neurogenesis

Kjell, J., Fischer-Sternjak, J., Thompson, A. J., Friess, C., Sticco, M. J., Salinas, F., Cox, J., Martinelli, D. C., Ninkovic, J., Franze, K., et al. (2020) · Cell Stem Cell

Neurogenesis and neuroplasticity mechanismsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 163

Ancient Biomolecules and Evolutionary Inference

Cappellini, E., Prohaska, A., Racimo, F., Welker, F., Pedersen, M. W., Allentoft, M. E., de Barros Damgaard, P., Gutenbrunner, P., Dunne, J., Hammann, S., et al. (2018) · Annual Review of Biochemistry

Forensic and Genetic ResearchGenomics and Phylogenetic Studies

Cited by 118

The Proteome of Prostate Cancer Bone Metastasis Reveals Heterogeneity with Prognostic Implications

Iglesias-Gato, D., Thysell, E., Tyanova, S., Crnalic, S., Santos, A., Lima, T. S., Geiger, T., Cox, J., Widmark, A., Bergh, A., et al. (2018) · Clinical Cancer Research

Prostate Cancer Treatment and ResearchAdvanced Proteomics Techniques and Applications

Cited by 106

IKAP: A heuristic framework for inference of kinase activities from Phosphoproteomics data

Mischnik, M., Sacco, F., Cox, J., Schneider, H.-C., Schäfer, M., Hendlich, M., Crowther, D., Mann, M., & Klabunde, T. (2016) · Bioinformatics

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 75