| High-resolution DNA-binding specificity analysis of yeast transcription factors C Zhu, KJRP Byers, RP McCord, Z Shi, MF Berger, DE Newburger, ... Genome research 19 (4), 556-566, 2009 | 489 | 2009 |
| Systematic discovery of new recognition peptides mediating protein interaction networks V Neduva, R Linding, I Su-Angrand, A Stark, F Masi, TJ Gibson, J Lewis, ... PLoS biology 3 (12), e405, 2005 | 371 | 2005 |
| Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals L Folkersen, S Gustafsson, Q Wang, DH Hansen, ĹK Hedman, A Schork, ... Nature metabolism 2 (10), 1135-1148, 2020 | 352 | 2020 |
| A multiparameter network reveals extensive divergence between C. elegans bHLH transcription factors CA Grove, F De Masi, MI Barrasa, DE Newburger, MJ Alkema, ML Bulyk, ... Cell 138 (2), 314-327, 2009 | 303 | 2009 |
| ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana MK Jensen, S Lindemose, F De Masi, JJ Reimer, M Nielsen, V Perera, ... FEBS open bio 3, 321-327, 2013 | 202 | 2013 |
| Ibuprofen alters human testicular physiology to produce a state of compensated hypogonadism DM Kristensen, C Desdoits-Lethimonier, AL Mackey, MD Dalgaard, ... Proceedings of the National Academy of Sciences 115 (4), E715-E724, 2018 | 144 | 2018 |
| High-throughput sequencing enhanced phage display enables the identification of patient-specific epitope motifs in serum A Christiansen, JV Kringelum, CS Hansen, KL Břgh, E Sullivan, J Patel, ... Scientific reports 5 (1), 12913, 2015 | 95 | 2015 |
| A DNA-binding-site landscape and regulatory network analysis for NAC transcription factors in Arabidopsis thaliana S Lindemose, MK Jensen, JV de Velde, C O'Shea, KS Heyndrickx, ... Nucleic acids research 42 (12), 7681-7693, 2014 | 95 | 2014 |
| High throughput production of mouse monoclonal antibodies using antigen microarrays F De Masi, P Chiarella, H Wilhelm, M Massimi, B Bullard, W Ansorge, ... Proteomics 5 (16), 4070-4081, 2005 | 91 | 2005 |
| Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants F De Masi, CA Grove, A Vedenko, A Alibes, SS Gisselbrecht, L Serrano, ... Nucleic acids research 39 (11), 4553-4563, 2011 | 86 | 2011 |
| miRandola 2017: a curated knowledge base of non-invasive biomarkers F Russo, S Di Bella, F Vannini, G Berti, F Scoyni, HV Cook, A Santos, ... Nucleic acids research 46 (D1), D354-D359, 2018 | 70 | 2018 |
| Using protein design algorithms to understand the molecular basis of disease caused by protein–DNA interactions: the Pax6 example A Alibés, AD Nadra, F De Masi, ML Bulyk, L Serrano, F Stricher Nucleic acids research 38 (21), 7422-7431, 2010 | 62 | 2010 |
| Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts N Atabaki-Pasdar, M Ohlsson, A Vińuela, F Frau, H Pomares-Millan, ... PLoS medicine 17 (6), e1003149, 2020 | 57 | 2020 |
| Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study A Wesolowska-Andersen, CA Brorsson, R Bizzotto, A Mari, A Tura, ... Cell Reports Medicine 3 (1), 2022 | 52 | 2022 |
| Control of lysosomal biogenesis and Notch-dependent tissue patterning by components of the TFEB-V-ATPase axis in Drosophila melanogaster E Tognon, F Kobia, I Busi, A Fumagalli, F De Masi, T Vaccari Autophagy 12 (3), 499-514, 2016 | 49 | 2016 |
| High-throughput immuno-profiling of mamba (Dendroaspis) venom toxin epitopes using high-density peptide microarrays M Engmark, MR Andersen, AH Laustsen, J Patel, E Sullivan, F De Masi, ... Scientific reports 6 (1), 36629, 2016 | 41 | 2016 |
| Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials AY Dawed, A Mari, A Brown, TJ McDonald, L Li, S Wang, MG Hong, ... The Lancet Diabetes & Endocrinology 11 (1), 33-41, 2023 | 37 | 2023 |
| Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI … RW Koivula, IM Forgie, A Kurbasic, A Vińuela, A Heggie, GN Giordano, ... Diabetologia 62, 1601-1615, 2019 | 35 | 2019 |
| Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration HR Wilman, CA Parisinos, N Atabaki-Pasdar, M Kelly, EL Thomas, ... Journal of Hepatology 71 (3), 594-602, 2019 | 27 | 2019 |
| Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models RL Allesře, AT Lundgaard, R Hernández Medina, A Aguayo-Orozco, ... Nature Biotechnology 41 (3), 399-408, 2023 | 25 | 2023 |
