| Reprogramming yeast metabolism from alcoholic fermentation to lipogenesis T Yu, YJ Zhou, M Huang, Q Liu, R Pereira, F David, J Nielsen Cell 174 (6), 1549-1558. e14, 2018 | 264 | 2018 |
| Complete genomic and transcriptional landscape analysis using third-generation sequencing: a case study of Saccharomyces cerevisiae CEN.PK113-7D P Jenjaroenpun, T Wongsurawat, R Pereira, P Patumcharoenpol, ... Nucleic acids research 46 (7), e38-e38, 2018 | 126 | 2018 |
| Multidimensional engineering of Saccharomyces cerevisiae for efficient synthesis of medium-chain fatty acids Z Zhu, Y Hu, PG Teixeira, R Pereira, Y Chen, V Siewers, J Nielsen Nature Catalysis 3 (1), 64-74, 2020 | 97 | 2020 |
| Production of β-ionone by combined expression of carotenogenic and plant CCD1 genes in Saccharomyces cerevisiae J López, K Essus, I Kim, R Pereira, J Herzog, V Siewers, J Nielsen, ... Microbial cell factories 14, 1-13, 2015 | 90 | 2015 |
| Adaptive laboratory evolution of tolerance to dicarboxylic acids in Saccharomyces cerevisiae R Pereira, Y Wei, E Mohamed, M Radi, C Malina, MJ Herrgård, AM Feist, ... Metabolic Engineering 56, 130-141, 2019 | 77 | 2019 |
| Nitrogen limitation reveals large reserves in metabolic and translational capacities of yeast R Yu, K Campbell, R Pereira, J Björkeroth, Q Qi, E Vorontsov, C Sihlbom, ... Nature communications 11 (1), 1881, 2020 | 64 | 2020 |
| Improving the flux distributions simulated with genome-scale metabolic models of Saccharomyces cerevisiae R Pereira, J Nielsen, I Rocha Metabolic Engineering Communications 3, 153-163, 2016 | 62 | 2016 |
| iOD907, the first genome‐scale metabolic model for the milk yeast Kluyveromyces lactis O Dias, R Pereira, AK Gombert, EC Ferreira, I Rocha Biotechnology journal 9 (6), 776-790, 2014 | 53 | 2014 |
| Elucidating aromatic acid tolerance at low pH in Saccharomyces cerevisiae using adaptive laboratory evolution R Pereira, ET Mohamed, MS Radi, MJ Herrgård, AM Feist, J Nielsen, ... Proceedings of the National Academy of Sciences 117 (45), 27954-27961, 2020 | 50 | 2020 |
| Adaptive laboratory evolution of ale and lager yeasts for improved brewing efficiency and beer quality B Gibson, M Dahabieh, K Krogerus, P Jouhten, F Magalhães, R Pereira, ... Annual review of food science and technology 11, 23-44, 2020 | 49 | 2020 |
| Stress-induced expression is enriched for evolutionarily young genes in diverse budding yeasts TW Doughty, I Domenzain, A Millan-Oropeza, N Montini, PA de Groot, ... Nature Communications 11 (1), 2144, 2020 | 28 | 2020 |
| Metabolic network remodelling enhances yeast’s fitness on xylose using aerobic glycolysis X Li, Y Wang, G Li, Q Liu, R Pereira, Y Chen, J Nielsen Nature Catalysis 4 (9), 783-796, 2021 | 24 | 2021 |
| Optimization Approaches for the In Silico Discovery of Optimal Targets for Gene Over/Underexpression E Gonçalves, R Pereira, I Rocha, M Rocha Journal of Computational Biology 19 (2), 102-114, 2012 | 22 | 2012 |
| Metabolic engineering strategies for butanol production in Escherichia coli S Ferreira, R Pereira, SA Wahl, I Rocha Biotechnology and Bioengineering 117 (8), 2571-2587, 2020 | 19 | 2020 |
| Discovery and implementation of a novel pathway for n-butanol production via 2-oxoglutarate S Ferreira, R Pereira, F Liu, P Vilaça, I Rocha Biotechnology for biofuels 12, 1-14, 2019 | 16 | 2019 |
| Circadian clock genes Bmal1 and Clock during early chick development L Gonçalves, M Vinhas, R Pereira, T Pais De Azevedo, F Bajanca, ... Developmental Dynamics 241 (8), 1365-1373, 2012 | 16 | 2012 |
| Flux regulation through glycolysis and respiration is balanced by inositol pyrophosphates in yeast N Qin, L Li, X Ji, R Pereira, Y Chen, S Yin, C Li, X Wan, D Qiu, J Jiang, ... Cell 186 (4), 748-763. e15, 2023 | 15 | 2023 |
| Semantic annotation of biological concepts interplaying microbial cellular responses R Carreira, S Carneiro, R Pereira, M Rocha, I Rocha, EC Ferreira, ... BMC bioinformatics 12, 1-10, 2011 | 10 | 2011 |
| Yeast metabolomics: Sample preparation for a GC/MS-based analysis S Carneiro, R Pereira, I Rocha Yeast Metabolic Engineering: Methods and Protocols, 197-207, 2014 | 7 | 2014 |
| TNA4OptFlux–a software tool for the analysis of strain optimization strategies JP Pinto, R Pereira, J Cardoso, I Rocha, M Rocha BMC Research Notes 6, 1-13, 2013 | 4 | 2013 |
