| Systematic identification of genomic markers of drug sensitivity in cancer cells MJ Garnett, EJ Edelman, SJ Heidorn, CD Greenman, A Dastur, KW Lau, ... Nature 483 (7391), 570-575, 2012 | 2409 | 2012 |
| Prospective derivation of a living organoid biobank of colorectal cancer patients M Van de Wetering, HE Francies, JM Francis, G Bounova, F Iorio, A Pronk, ... Cell 161 (4), 933-945, 2015 | 1813 | 2015 |
| A landscape of pharmacogenomic interactions in cancer F Iorio, TA Knijnenburg, DJ Vis, GR Bignell, MP Menden, M Schubert, ... Cell 166 (3), 740-754, 2016 | 1452 | 2016 |
| Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens FM Behan, F Iorio, G Picco, E Gonçalves, CM Beaver, G Migliardi, ... Nature 568 (7753), 511-516, 2019 | 820 | 2019 |
| The global phosphorylation landscape of SARS-CoV-2 infection M Bouhaddou, D Memon, B Meyer, KM White, VV Rezelj, MC Marrero, ... Cell 182 (3), 685-712. e19, 2020 | 718 | 2020 |
| A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014 | 679 | 2014 |
| Structural and functional analysis of cellular networks with CellNetAnalyzer S Klamt, J Saez-Rodriguez, ED Gilles BMC systems biology 1 (1), 1-13, 2007 | 634 | 2007 |
| Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ... Nature methods 10 (3), 228-238, 2013 | 620 | 2013 |
| A CRISPR dropout screen identifies genetic vulnerabilities and therapeutic targets in acute myeloid leukemia K Tzelepis, H Koike-Yusa, E De Braekeleer, Y Li, E Metzakopian, ... Cell reports 17 (4), 1193-1205, 2016 | 524 | 2016 |
| Towards a rigorous assessment of systems biology models: the DREAM3 challenges RJ Prill, D Marbach, J Saez-Rodriguez, PK Sorger, LG Alexopoulos, ... PloS one 5 (2), e9202, 2010 | 484 | 2010 |
| A methodology for the structural and functional analysis of signaling and regulatory networks S Klamt, J Saez-Rodriguez, JA Lindquist, L Simeoni, ED Gilles BMC bioinformatics 7, 1-26, 2006 | 476 | 2006 |
| Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties MP Menden, F Iorio, M Garnett, U McDermott, CH Benes, PJ Ballester, ... PLoS one 8 (4), e61318, 2013 | 475 | 2013 |
| Fumarate is an epigenetic modifier that elicits epithelial-to-mesenchymal transition M Sciacovelli, E Gonçalves, TI Johnson, VR Zecchini, ASH Da Costa, ... Nature 537 (7621), 544-547, 2016 | 470 | 2016 |
| Benchmark and integration of resources for the estimation of human transcription factor activities L Garcia-Alonso, CH Holland, MM Ibrahim, D Turei, J Saez-Rodriguez Genome research 29 (8), 1363-1375, 2019 | 400 | 2019 |
| Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction J Saez‐Rodriguez, LG Alexopoulos, J Epperlein, R Samaga, ... Molecular systems biology 5 (1), 331, 2009 | 386 | 2009 |
| OmniPath: guidelines and gateway for literature-curated signaling pathway resources D Türei, T Korcsmáros, J Saez-Rodriguez Nature methods 13 (12), 966-967, 2016 | 381 | 2016 |
| A logical model provides insights into T cell receptor signaling J Saez-Rodriguez, L Simeoni, JA Lindquist, R Hemenway, U Bommhardt, ... PLoS computational biology 3 (8), e163, 2007 | 375 | 2007 |
| Logic-based models for the analysis of cell signaling networks MK Morris, J Saez-Rodriguez, PK Sorger, DA Lauffenburger Biochemistry 49 (15), 3216-3224, 2010 | 373 | 2010 |
| Evaluation of methods for modeling transcription factor sequence specificity MT Weirauch, A Cote, R Norel, M Annala, Y Zhao, TR Riley, ... Nature biotechnology 31 (2), 126-134, 2013 | 370 | 2013 |
| Pharmacogenomic agreement between two cancer cell line data sets CCLE Consortium, GDSC Consortium Nature 528 (7580), 84-87, 2015 | 322* | 2015 |
Francesco IorioHuman TechnopoleVerified email at fht.org
