| A screen for morphological complexity identifies regulators of switch-like transitions between discrete cell shapes Z Yin, A Sadok, H Sailem, A McCarthy, X Xia, F Li, MA Garcia, L Evans, ... Nature cell biology 15 (7), 860-871, 2013 | 206 | 2013 |
| Cell shape and the microenvironment regulate nuclear translocation of NF‐κB in breast epithelial and tumor cells JE Sero, HZ Sailem, RC Ardy, H Almuttaqi, T Zhang, C Bakal Molecular systems biology 11 (3), 790, 2015 | 149 | 2015 |
| Microenvironmental heterogeneity parallels breast cancer progression: a histology–genomic integration analysis R Natrajan, H Sailem, FK Mardakheh, M Arias Garcia, CJ Tape, ... PLoS medicine 13 (2), e1001961, 2016 | 137 | 2016 |
| Analysis of live cell images: Methods, tools and opportunities TA Nketia, H Sailem, G Rohde, R Machiraju, J Rittscher Methods 115, 65-79, 2017 | 83 | 2017 |
| Cross-talk between Rho and Rac GTPases drives deterministic exploration of cellular shape space and morphological heterogeneity H Sailem, V Bousgouni, S Cooper, C Bakal Open biology 4 (1), 130132, 2014 | 74 | 2014 |
| Visualizing cellular imaging data using PhenoPlot HZ Sailem, JE Sero, C Bakal Nature communications 6 (1), 5825, 2015 | 48 | 2015 |
| Identification of clinically predictive metagenes that encode components of a network coupling cell shape to transcription by image-omics HZ Sailem, C Bakal Genome research 27 (2), 196-207, 2017 | 40 | 2017 |
| Identification of molecular targets for the targeted treatment of gastric cancer using dasatinib RC Montenegro, A Howarth, A Ceroni, V Fedele, B Farran, FP Mesquita, ... Oncotarget 11 (5), 535, 2020 | 36 | 2020 |
| How cells explore shape space: a quantitative statistical perspective of cellular morphogenesis Z Yin, H Sailem, J Sero, R Ardy, STC Wong, C Bakal Bioessays 36 (12), 1195-1203, 2014 | 31 | 2014 |
| Visualizing quantitative microscopy data: History and challenges HZ Sailem, S Cooper, C Bakal Critical reviews in biochemistry and molecular biology 51 (2), 96-101, 2016 | 22 | 2016 |
| Evolution and impact of high content imaging GP Way, H Sailem, S Shave, R Kasprowicz, NO Carragher Slas Discovery 28 (7), 292-305, 2023 | 19 | 2023 |
| Proteomics profiling of interactome dynamics by colocalisation analysis (COLA) FK Mardakheh, HZ Sailem, S Kümper, CJ Tape, RR McCully, A Paul, ... Molecular BioSystems 13 (1), 92-105, 2017 | 17 | 2017 |
| Morphological landscape of endothelial cell networks reveals a functional role of glutamate receptors in angiogenesis HZ Sailem, A Al Haj Zen Scientific reports 10 (1), 13829, 2020 | 16 | 2020 |
| HighVia - A Flexible Live-cell High Content Screening Pipeline to Assess Cellular Toxicity D Howarth, A., Schröder, M., Montenegro, R., Drewry, D., Sailem, H., Millar ... SLAS Discovery, 1-11, 2020 | 14* | 2020 |
| KCML: a machine‐learning framework for inference of multi‐scale gene functions from genetic perturbation screens HZ Sailem, J Rittscher, L Pelkmans Molecular systems biology 16 (3), e9083, 2020 | 11 | 2020 |
| DeepScratch: Single-cell based topological metrics of scratch wound assays A Javer, J Rittscher, HZ Sailem Computational and Structural Biotechnology Journal 18, 2501-2509, 2020 | 11 | 2020 |
| MesoGraph: Automatic profiling of mesothelioma subtypes from histological images M Eastwood, H Sailem, ST Marc, X Gao, J Offman, E Karteris, ... Cell Reports Medicine 4 (10), 2023 | 9 | 2023 |
| Inferring signalling networks from images L Evans, H Sailem, PP Vargas, C Bakal Journal of Microscopy 252 (1), 1-7, 2013 | 9 | 2013 |
| Efficient Bayesian inference for mechanistic modelling with high-throughput data S Martina Perez, H Sailem, RE Baker PLOS Computational Biology 18 (6), e1010191, 2022 | 8 | 2022 |
| Discovery of rare phenotypes in cellular images using weakly supervised deep learning H Sailem, M Arias-Garcia, C Bakal, A Zisserman, J Rittscher Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 8 | 2017 |