| A subcellular map of the human proteome PJ Thul, L Åkesson, M Wiking, D Mahdessian, A Geladaki, H Ait Blal, ... Science 356 (6340), eaal3321, 2017 | 2931 | 2017 |
| The human secretome M Uhlén, MJ Karlsson, A Hober, AS Svensson, J Scheffel, D Kotol, ... Science signaling 12 (609), eaaz0274, 2019 | 400 | 2019 |
| SBML Level 3: an extensible format for the exchange and reuse of biological models SM Keating, D Waltemath, M König, F Zhang, A Dräger, C Chaouiya, ... Molecular systems biology 16 (8), e9110, 2020 | 256 | 2020 |
| Deep learning is combined with massive-scale citizen science to improve large-scale image classification DP Sullivan, CF Winsnes, L Åkesson, M Hjelmare, M Wiking, R Schutten, ... Nature biotechnology 36 (9), 820-828, 2018 | 223 | 2018 |
| Spatiotemporal dissection of the cell cycle with single-cell proteogenomics D Mahdessian, AJ Cesnik, C Gnann, F Danielsson, L Stenström, M Arif, ... Nature 590 (7847), 649-654, 2021 | 165 | 2021 |
| Analysis of the human protein atlas image classification competition W Ouyang, CF Winsnes, M Hjelmare, AJ Cesnik, L Åkesson, H Xu, ... Nature methods 16 (12), 1254-1261, 2019 | 135 | 2019 |
| A subcellular map of the human proteome. Science 356, eaal3321 PJ Thul, L Åkesson, M Wiking, D Mahdessian, A Geladaki, H Ait Blal, ... | 96 | 2017 |
| Active machine learning-driven experimentation to determine compound effects on protein patterns AW Naik, JD Kangas, DP Sullivan, RF Murphy Elife 5, e10047, 2016 | 60 | 2016 |
| Unbiased rare event sampling in spatial stochastic systems biology models using a weighted ensemble of trajectories RM Donovan, JJ Tapia, DP Sullivan, JR Faeder, RF Murphy, M Dittrich, ... PLoS computational biology 12 (2), e1004611, 2016 | 45 | 2016 |
| Joint modeling of cell and nuclear shape variation GR Johnson, TE Buck, DP Sullivan, GK Rohde, RF Murphy Molecular Biology of the Cell 26 (22), 4046-4056, 2015 | 39 | 2015 |
| Vitamin D-deficient mice have more invasive urinary tract infection O Hertting, P Lüthje, D Sullivan, P Aspenström, A Brauner PLoS One 12 (7), e0180810, 2017 | 34 | 2017 |
| Seeing more: A future of augmented microscopy DP Sullivan, E Lundberg Cell 173 (3), 546-548, 2018 | 22 | 2018 |
| SBML level 3 package: spatial processes, version 1, release 1 JC Schaff, A Lakshminarayana, RF Murphy, FT Bergmann, A Funahashi, ... Journal of Integrative Bioinformatics 20 (1), 20220054, 2023 | 8 | 2023 |
| Spatial characterization of the human centrosome proteome opens up new horizons for a small but versatile organelle F Danielsson, D Mahdessian, U Axelsson, D Sullivan, M Uhlén, ... Proteomics 20 (23), 1900361, 2020 | 8 | 2020 |
| Design automation for biological models: a pipeline that incorporates spatial and molecular complexity DP Sullivan, R Arepally, RF Murphy, JJ Tapia, JR Faeder, M Dittrich, ... Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 321-323, 2015 | 6 | 2015 |
| Multi-label prediction of subcellular localization in confocal images using deep neural networks CF Winsnes, DP Sullivan, K Smith, E Lundberg Molecular Biology of the Cell 27 (25), 2016 | 5 | 2016 |
| Transcriptome profiling of the interconnection of pathways involved in malignant transformation and response to hypoxia F Danielsson, E Fasterius, D Sullivan, L Hases, K Sanli, C Zhang, ... Oncotarget 9 (28), 19730, 2018 | 3 | 2018 |
| High-throughput serotyping and antibody profiling assays E Okerberg, KL Gunderson, N Muranaka, J Kim, BJ Lim, L Shi, S Ganguly, ... US Patent 12,043,862, 2024 | 2 | 2024 |
| Spatiotemporal dissection of the cell cycle regulated human proteome D Mahdessian, DP Sullivan, F Danielsson, M Arif, C Zhang, L Åkesson, ... | 2 | 2019 |
| Image-derived generative modeling of complex cellular organization in both space and time DP Sullivan, JR Faeder, GK Rhode, I Sbalzarini PhD thesis CMU-CB-15-102, Carnegie Mellon University, Pittsburgh, PA, 2015 | 2 | 2015 |
Emma LundbergAssociate Professor of Bioengineering and Pathology, Stanford UniversityEmail verificata su scilifelab.se