Nielsen, Jens
BioInnovation Institute · Chalmers University of Technology
57 papers on CoChatORCID 0000-0002-9955-6003
Most cited papers
- Verified
Tissue-based map of the human proteome
Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science
Bioinformatics and Genomic NetworksAdvanced Proteomics Techniques and Applications
Cited by 15,286
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Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics
Fagerberg, L., Hallström, B. M., Oksvold, P., Kampf, C., Djureinovic, D., Odeberg, J., Habuka, M., Tahmasebpoor, S., Danielsson, A., Edlund, K., et al. (2014) · Molecular & Cellular Proteomics
Bioinformatics and Genomic NetworksGene expression and cancer classification
Cited by 3,665
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Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature
Gut microbiota and healthOral microbiology and periodontitis research
Cited by 3,115
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Symptomatic atherosclerosis is associated with an altered gut metagenome
Karlsson, F. H., Fåk, F., Nookaew, I., Tremaroli, V., Fagerberg, B., Petranovic, D., Bäckhed, F., & Nielsen, J. (2012) · Nature Communications
Gut microbiota and healthOral microbiology and periodontitis research
Cited by 1,371
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Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network
Förster, J., Famili, I., Fu, P., Palsson, B. Ø., & Nielsen, J. (2003) · Genome Research
Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis
Cited by 1,069
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A community-driven global reconstruction of human metabolism
Thiele, I., Swainston, N., Fleming, R. M. T., Hoppe, A., Sahoo, S., Aurich, M. K., Haraldsdottir, H., Mo, M. L., Rolfsson, O., Stobbe, M. D., et al. (2013) · Nature Biotechnology
Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks
Cited by 1,019
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Voluntary running suppresses tumor growth through epinephrine- and IL-6-dependent NK cell mobilization and redistribution
Pedersen, L., Idorn, M., Olofsson, G. H., Lauenborg, B., Nookaew, I., Hansen, R. H., Johannesen, H. H., Becker, J. C., Pedersen, K. S., Dethlefsen, C., et al. (2016) · Cell Metabolism
Cancer, Stress, Anesthesia, and Immune ResponseImmune Cell Function and Interaction
Cited by 888
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Roux-en-Y Gastric Bypass and Vertical Banded Gastroplasty Induce Long-Term Changes on the Human Gut Microbiome Contributing to Fat Mass Regulation
Tremaroli, V., Karlsson, F., Werling, M., Ståhlman, M., Kovatcheva-Datchary, P., Olbers, T., Fändriks, L., le Roux, C. W., Nielsen, J., & Bäckhed, F. (2015) · Cell Metabolism
Gut microbiota and healthBariatric Surgery and Outcomes
Cited by 757
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An interlaboratory comparison of physiological and genetic properties of four Saccharomyces cerevisiae strains
van Dijken, J. P., Bauer, J., Brambilla, L., Duboc, P., Francois, J. M., Gancedo, C., Giuseppin, M. L. F., Heijnen, J. J., Hoare, M., Lange, H. C., et al. (2000) · Enzyme and Microbial Technology
Fungal and yeast genetics researchMicrobial Metabolic Engineering and Bioproduction
Cited by 598
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A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology
Herrgård, M. J., Swainston, N., Dobson, P., Dunn, W. B., Arga, K. Y., Arvas, M., Blüthgen, N., Borger, S., Costenoble, R., Heinemann, M., et al. (2008) · Nature Biotechnology
Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks
Cited by 588
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MEMOTE for standardized genome-scale metabolic model testing
Lieven, C., Beber, M. E., Olivier, B. G., Bergmann, F. T., Ataman, M., Babaei, P., Bartell, J. A., Blank, L. M., Chauhan, S., Correia, K., et al. (2020) · Nature Biotechnology
Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis
Cited by 509
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The human secretome
Uhlén, M., Karlsson, M. J., Hober, A., Svensson, A.-S., Scheffel, J., Kotol, D., Zhong, W., Tebani, A., Strandberg, L., Edfors, F., et al. (2019) · Science Signaling
Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks
Cited by 495
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Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
Li, F., Yuan, L., Lu, H., Li, G., Chen, Y., Engqvist, M. K. M., Kerkhoven, E. J., & Nielsen, J. (2022) · Nature Catalysis
Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks
Cited by 466
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Improving the phenotype predictions of a yeast genome‐scale metabolic model by incorporating enzymatic constraints
Sánchez, B. J., Zhang, C., Nilsson, A., Lahtvee, P., Kerkhoven, E. J., & Nielsen, J. (2017) · Molecular Systems Biology
Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis
Cited by 466
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An atlas of human metabolism
Robinson, J. L., Kocabaş, P., Wang, H., Cholley, P.-E., Cook, D., Nilsson, A., Anton, M., Ferreira, R., Domenzain, I., Billa, V., et al. (2020) · Science Signaling
Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks
Cited by 442
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The gut microbiota modulates host amino acid and glutathione metabolism in mice
Mardinoglu, A., Shoaie, S., Bergentall, M., Ghaffari, P., Zhang, C., Larsson, E., Bäckhed, F., & Nielsen, J. (2015) · Molecular Systems Biology
Gut microbiota and healthMicrobial Metabolic Engineering and Bioproduction
Cited by 383
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RAVEN 2.0: A versatile toolbox for metabolic network reconstruction and a case study on Streptomyces coelicolor
Wang, H., Marcišauskas, S., Sánchez, B. J., Domenzain, I., Hermansson, D., Agren, R., Nielsen, J., & Kerkhoven, E. J. (2018) · PLOS Computational Biology
Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis
Cited by 381
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Flux Distributions in Anaerobic, Glucose-Limited Continuous Cultures of Saccharomyces Cerevisiae
Nissen, T. L., Schulze, U., Nielsen, J., & Villadsen, J. (1997) · Microbiology
Microbial Metabolic Engineering and BioproductionFungal and yeast genetics research
Cited by 376
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Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network
Famili, I., Förster, J., Nielsen, J., & Palsson, B. O. (2003) · Proceedings of the National Academy of Sciences
Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis
Cited by 353
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Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community
Blasche, S., Kim, Y., Mars, R. A. T., Machado, D., Maansson, M., Kafkia, E., Milanese, A., Zeller, G., Teusink, B., Nielsen, J., et al. (2021) · Nature Microbiology
Probiotics and Fermented FoodsGut microbiota and health
Cited by 328
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A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae
Nookaew, I., Papini, M., Pornputtapong, N., Scalcinati, G., Fagerberg, L., Uhlén, M., & Nielsen, J. (2012) · Nucleic Acids Research
Genomics and Phylogenetic StudiesGene expression and cancer classification
Cited by 309
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Systems Biology of Metabolism
Nielsen, J. (2017) · Annual Review of Biochemistry
Microbial Metabolic Engineering and BioproductionGene Regulatory Network Analysis
Cited by 252
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It Is All about MetabolicFluxes
Nielsen, J. (2003) · Journal of Bacteriology
Microbial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks
Cited by 236
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Microbiome-derived ethanol in nonalcoholic fatty liver disease
Meijnikman, A. S., Davids, M., Herrema, H., Aydin, O., Tremaroli, V., Rios-Morales, M., Levels, H., Bruin, S., de Brauw, M., Verheij, J., et al. (2022) · Nature Medicine
Gut microbiota and healthLiver Disease Diagnosis and Treatment
Cited by 215
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