| Recon3D enables a three-dimensional view of gene variation in human metabolism E Brunk, S Sahoo, DC Zielinski, A Altunkaya, A Dräger, N Mih, F Gatto, ... Nature biotechnology 36 (3), 272, 2018 | 113 | 2018 |
| Chromosome 3p loss of heterozygosity is associated with a unique metabolic network in clear cell renal carcinoma F Gatto, I Nookaew, J Nielsen Proceedings of the National Academy of Sciences 111 (9), E866-E875, 2014 | 99 | 2014 |
| Genome‐scale modeling of human metabolism–a systems biology approach A Mardinoglu, F Gatto, J Nielsen Biotechnology journal 8 (9), 985-996, 2013 | 82 | 2013 |
| Flux balance analysis predicts essential genes in clear cell renal cell carcinoma metabolism F Gatto, H Miess, A Schulze, J Nielsen Scientific reports 5, 10738, 2015 | 54 | 2015 |
| Absolute quantification of protein and mRNA abundances demonstrate variability in gene-specific translation efficiency in yeast PJ Lahtvee, BJ Sánchez, A Smialowska, S Kasvandik, IE Elsemman, ... Cell systems 4 (5), 495-504. e5, 2017 | 50 | 2017 |
| Glycosaminoglycan profiling in patients’ plasma and urine predicts the occurrence of metastatic clear cell renal cell carcinoma F Gatto, N Volpi, H Nilsson, I Nookaew, M Maruzzo, A Roma, ... Cell reports 15 (8), 1822-1836, 2016 | 27 | 2016 |
| Systematic analysis reveals that cancer mutations converge on deregulated metabolism of arachidonate and xenobiotics F Gatto, A Schulze, J Nielsen Cell reports 16 (3), 878-895, 2016 | 16 | 2016 |
| Prognostic value of plasma and urine glycosaminoglycan scores in clear cell renal cell carcinoma F Gatto, M Maruzzo, C Magro, U Basso, J Nielsen Frontiers in oncology 6, 253, 2016 | 13 | 2016 |
| Kiwi: a tool for integration and visualization of network topology and gene-set analysis L Väremo, F Gatto, J Nielsen BMC bioinformatics 15 (1), 408, 2014 | 10 | 2014 |
| Human protein secretory pathway genes are expressed in a tissue-specific pattern to match processing demands of the secretome A Feizi, F Gatto, M Uhlen, J Nielsen NPJ systems biology and applications 3 (1), 1-9, 2017 | 5 | 2017 |
| Systematic analysis of overall survival and interactions between tumor mutations and drug treatment F Gatto, J Nielsen Journal of hematology & oncology 9 (1), 15, 2016 | 5 | 2016 |
| Exploiting off‐targeting in guide‐RNA s for CRISPR systems for simultaneous editing of multiple genes R Ferreira, F Gatto, J Nielsen FEBS letters 591 (20), 3288-3295, 2017 | 4 | 2017 |
| In search for symmetries in the metabolism of cancer F Gatto, J Nielsen Wiley Interdisciplinary Reviews: Systems Biology and Medicine 8 (1), 23-35, 2016 | 4 | 2016 |
| Plasma glycosaminoglycans as diagnostic and prognostic biomarkers in surgically treated renal cell carcinoma F Gatto, KA Blum, SS Hosseini, M Ghanaat, M Kashan, F Maccari, ... European urology oncology 1 (5), 364-377, 2018 | 3 | 2018 |
| Microbial inactivation of paprika using oregano essential oil combined with high-pressure CO2 J Casas, J Tello, F Gatto, L Calvo The Journal of Supercritical Fluids 116, 57-61, 2016 | 3 | 2016 |
| Breast cyst fluid heparan sulphate is distinctively N‐sulphated depending on apocrine or flattened type F Mannello, F Maccari, D Ligi, M Santi, F Gatto, RJ Linhardt, F Galeotti, ... Cell biochemistry and function 33 (3), 128-133, 2015 | 2 | 2015 |
| Pan-cancer analysis of the metabolic reaction network F Gatto, R Ferreira, J Nielsen Metabolic engineering 57, 51-62, 2020 | 1 | 2020 |
| Cancer biomarkers F Gatto, J Nielsen US Patent App. 16/489,960, 2019 | | 2019 |
| The Translational Status of Cancer Liquid Biopsies S Bratulic, F Gatto, J Nielsen Regenerative Engineering and Translational Medicine, 1-41, 2019 | | 2019 |
| Towards systems biomarkers for cancer diagnosis J Nielsen, F Gatto Drug Target Review 4 (1), 52-55, 2017 | | 2017 |
Jens NielsenProfessor in Systems Biology, Chalmers University of TechnologyEmail verificata su chalmers.se
