| Fifteen years of large scale metabolic modeling of yeast: developments and impacts T Österlund, I Nookaew, J Nielsen Biotechnology advances 30 (5), 979-988, 2012 | 147 | 2012 |
| Mapping condition-dependent regulation of metabolism in yeast through genome-scale modeling T Österlund, I Nookaew, S Bordel, J Nielsen BMC systems biology 7, 1-10, 2013 | 128 | 2013 |
| Statistical evaluation of methods for identification of differentially abundant genes in comparative metagenomics V Jonsson, T Österlund, O Nerman, E Kristiansson BMC genomics 17 (1), 1-14, 2016 | 121 | 2016 |
| Pharmacology beyond the patient–The environmental risks of human drugs L Gunnarsson, JR Snape, B Verbruggen, SF Owen, E Kristiansson, ... Environment International 129, 320-332, 2019 | 92 | 2019 |
| Genome-scale modeling of the protein secretory machinery in yeast A Feizi, T Österlund, D Petranovic, S Bordel, J Nielsen PloS one 8 (5), e63284, 2013 | 92 | 2013 |
| Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data F Berglund, NP Marathe, T Österlund, J Bengtsson-Palme, S Kotsakis, ... Microbiome 5, 1-13, 2017 | 73 | 2017 |
| Identification and reconstruction of novel antibiotic resistance genes from metagenomes F Berglund, T Österlund, F Boulund, NP Marathe, DG Larsson, ... Microbiome 7 (1), 1-14, 2019 | 70 | 2019 |
| Heat shock response improves heterologous protein secretion in Saccharomyces cerevisiae J Hou, T Österlund, Z Liu, D Petranovic, J Nielsen Applied microbiology and biotechnology 97, 3559-3568, 2013 | 54 | 2013 |
| A novel method for cross-species gene expression analysis E Kristiansson, T Österlund, L Gunnarsson, G Arne, DG Joakim Larsson, ... BMC bioinformatics 14 (1), 1-14, 2013 | 53 | 2013 |
| ECOdrug: a database connecting drugs and conservation of their targets across species B Verbruggen, L Gunnarsson, E Kristiansson, T Österlund, SF Owen, ... Nucleic Acids Research 46 (D1), D930-D936, 2018 | 49 | 2018 |
| Comparison of four DNA extraction methods for comprehensive assessment of 16S rRNA bacterial diversity in marine biofilms using high-throughput sequencing N Corcoll, T Österlund, L Sinclair, A Eiler, E Kristiansson, T Backhaus, ... FEMS Microbiology Letters 364 (14), 2017 | 41 | 2017 |
| Management of the endoplasmic reticulum stress by activation of the heat shock response in yeast J Hou, H Tang, Z Liu, T Österlund, J Nielsen, D Petranovic FEMS yeast research 14 (3), 481-494, 2014 | 40 | 2014 |
| Genome-scale analysis of the high-efficient protein secretion system of Aspergillus oryzae L Liu, A Feizi, T Österlund, C Hjort, J Nielsen BMC Systems Biology 8 (1), 1-13, 2014 | 37 | 2014 |
| Improved production of a heterologous amylase in Saccharomyces cerevisiae by inverse metabolic engineering Z Liu, L Liu, T Österlund, J Hou, M Huang, L Fagerberg, D Petranovic, ... Applied and Environmental Microbiology 80 (17), 5542-5550, 2014 | 32 | 2014 |
| Anaerobic α-amylase production and secretion with fumarate as the final electron acceptor in Saccharomyces cerevisiae Z Liu, T Österlund, J Hou, D Petranovic, J Nielsen Applied and Environmental Microbiology 79 (9), 2962-2967, 2013 | 31 | 2013 |
| Controllability analysis of transcriptional regulatory networks reveals circular control patterns among transcription factors T Österlund, S Bordel, J Nielsen Integrative biology 7 (5), 560-568, 2015 | 26 | 2015 |
| Sewage from airplanes exhibits high abundance and diversity of antibiotic resistance genes S Heß, D Kneis, T Osterlund, B Li, E Kristiansson, TU Berendonk Environmental Science & Technology 53 (23), 13898-13905, 2019 | 25 | 2019 |
| A comprehensive survey of integron-associated genes present in metagenomes M Buongermino Pereira, T Österlund, KM Eriksson, T Backhaus, ... BMC genomics 21, 1-14, 2020 | 18 | 2020 |
| Comprehensive screening of genomic and metagenomic data reveals a large diversity of tetracycline resistance genes F Berglund, ME Böhm, A Martinsson, S Ebmeyer, T Österlund, A Johnning, ... Microbial genomics 6 (11), 2020 | 18 | 2020 |
| Variability in metagenomic count data and its influence on the identification of differentially abundant genes V Jonsson, T Österlund, O Nerman, E Kristiansson Journal of Computational Biology 24 (4), 311-326, 2017 | 16 | 2017 |
Jens NielsenProfessor in Systems Biology, Chalmers University of Technology, SwedenVerified email at chalmers.se
