| Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results P Van Liedekerke, MM Palm, N Jagiella, D Drasdo Computational particle mechanics 2, 401-444, 2015 | 317 | 2015 |
| Quorum regulation via nested antagonistic feedback circuits mediated by the receptors CD28 and CTLA-4 confers robustness to T cell population dynamics S Zenke, MM Palm, J Braun, A Gavrilov, P Meiser, JP Böttcher, ... Immunity 52 (2), 313-327. e7, 2020 | 67 | 2020 |
| Computational screening of angiogenesis model variants predicts that differential chemotaxis helps Tip cells move to the sprout Tip and accelerates sprouting MM Palm, MG Dallinga, E van Dijk, I Klaassen, RO Schlingemann, ... PloS one, 2016 | 47* | 2016 |
| Vascular networks due to dynamically arrested crystalline ordering of elongated cells MM Palm, RMH Merks Physical Review E 87 (1), 012725, 2013 | 44 | 2013 |
| Large-Scale Parameter Studies of Cell-Based Models of Tissue Morphogenesis Using CompuCell3D or VirtualLeaf MM Palm, RMH Merks Tissue Morphogenesis: Methods and Protocols, 301-322, 2015 | 22 | 2015 |
| Computational Modeling of Angiogenesis: Towards a Multi-Scale Understanding of Cell–Cell and Cell–Matrix Interactions SEM Boas, MM Palm, P Koolwijk, RMH Merks Mechanical and Chemical Signaling in Angiogenesis, 161-183, 2012 | 18 | 2012 |
| Heritable tumor cell division rate heterogeneity induces clonal dominance MM Palm, M Elemans, JB Beltman PLoS Computational Biology 14 (2), e1005954, 2018 | 6 | 2018 |
| Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results. Comput Part Mech 2 (4): 401–444 P Van Liedekerke, MM Palm, N Jagiella, D Drasdo | 6 | 2015 |
| Modeling molecule exchange at membranes MM Palm, MN Steijaert, HMM Ten Eikelder, PAJ Hilbers Proceedings of the Third International Conference on the Foundations of …, 2009 | 2 | 2009 |
| Scientific report: Training workshop interdisciplinary life sciences G Akudibillah, SEM Boas, BM Carreres, M Dallinga, AJ van Dijk, ... PeerJ PrePrints, 2014 | | 2014 |
| High-throughput simulation studies of angiogenesis-Reverse engineering the role of tip cells and pericytes in vascular development MMM Palm Leiden University, 2014 | | 2014 |
| A parameter study of a computational angiogenesis model suggests that limited Apelin sensitivity enables tip cells to lead sprouts M Palm, M Dallinga, E van Dijk, I Klaassen, R Schlingemann, R Merks 9th European Conference on Mathematical and Theoretical Biology, 2014 | | 2014 |
| Erratum: Vascular networks due to dynamically arrested crystalline ordering of elongated cells [Phys. Rev. E 87, 012725 (2013)] MM Palm, RMH Merks Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (6 …, 2013 | | 2013 |
| Large-scale parameter studies of cell-based models of tissue morphogenesis using CompuCell3D or VirtualLeaf F Lignet, A Emde, MM Palm, Y Yarden, E Grenier, RMH Merks, B Ribba | | |
| Computational screening of angiogenesis model variants predicts that apelin signaling helps tip cells move to the sprout tip to accelerate sprouting MM Palm, MG Dallinga, E van Dijk, I Klaassen, RO Schlingemann, ... | | |
| Diffusive signaling between endothelial cells and pericytes can cause network collapse and subsequent sprouting MM Palm, HH Versteeg, RMH Merks | | |
| High-throughput simulation studies of angiogenesis M Palm | | |
| Quorum-regulation mediated by nested antagonistic feedback circuits via CD28 and CTLA-4 confers robustness to CD8+ T cell population dynamics S Zenke, MM Palm, J Braun, A Gavrilov, P Meiser, JP Böttcher, ... | | |
