| In silico clinical trials: concepts and early adoptions F Pappalardo, G Russo, FM Tshinanu, M Viceconti Briefings in bioinformatics 20 (5), 1699-1708, 2019 | 131 | 2019 |
| Modeling and simulation of cancer immunoprevention vaccine F Pappalardo, PL Lollini, F Castiglione, S Motta Bioinformatics 21 (12), 2891-2897, 2005 | 126 | 2005 |
| Mathematical modeling of biological systems S Motta, F Pappalardo Briefings in Bioinformatics 14 (4), 411-422, 2013 | 116 | 2013 |
| In silico trials: Verification, validation and uncertainty quantification of predictive models used in the regulatory evaluation of biomedical products M Viceconti, F Pappalardo, B Rodriguez, M Horner, J Bischoff, ... Methods 185, 120-127, 2021 | 111 | 2021 |
| Agent-based modeling of the immune system: NetLogo, a promising framework F Chiacchio, M Pennisi, G Russo, S Motta, F Pappalardo BioMed research international 2014, 2014 | 97 | 2014 |
| In silico modeling and in vivo efficacy of cancer-preventive vaccinations A Palladini, G Nicoletti, F Pappalardo, A Murgo, V Grosso, V Stivani, ... Cancer research 70 (20), 7755-7763, 2010 | 92 | 2010 |
| Optimization of HAART with genetic algorithms and agent-based models of HIV infection F Castiglione, F Pappalardo, M Bernaschi, S Motta Bioinformatics 23 (24), 3350-3355, 2007 | 87 | 2007 |
| Discovery of cancer vaccination protocols with a genetic algorithm driving an agent based simulator PL Lollini, S Motta, F Pappalardo BMC bioinformatics 7 (1), 1-9, 2006 | 85 | 2006 |
| Combining cellular automata and lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition D Alemani, F Pappalardo, M Pennisi, S Motta, V Brusic Journal of Immunological Methods 376 (1-2), 55-68, 2012 | 67 | 2012 |
| Modeling biology spanning different scales: an open challenge F Castiglione, F Pappalardo, C Bianca, G Russo, S Motta BioMed research international 2014, 2014 | 66 | 2014 |
| SimB16: modeling induced immune system response against B16-melanoma F Pappalardo, IM Forero, M Pennisi, A Palazon, I Melero, S Motta PloS one 6 (10), e26523, 2011 | 66 | 2011 |
| Computational modeling of PI3K/AKT and MAPK signaling pathways in melanoma cancer F Pappalardo, G Russo, S Candido, M Pennisi, S Cavalieri, S Motta, ... PLoS One 11 (3), e0152104, 2016 | 63 | 2016 |
| Modeling immune system control of atherogenesis F Pappalardo, S Musumeci, S Motta Bioinformatics 24 (15), 1715-1721, 2008 | 62 | 2008 |
| Immune-checkpoint inhibitors from cancer to COVID‑19: A promising avenue for the treatment of patients with COVID‑19 S Vivarelli, L Falzone, F Torino, G Scandurra, G Russo, R Bordonaro, ... International journal of oncology 58 (2), 145-157, 2021 | 57 | 2021 |
| Multivalent exposure of trastuzumab on iron oxide nanoparticles improves antitumor potential and reduces resistance in HER2-positive breast cancer cells M Truffi, M Colombo, L Sorrentino, L Pandolfi, S Mazzucchelli, ... Scientific reports 8 (1), 6563, 2018 | 56 | 2018 |
| SHyFTA, a Stochastic Hybrid Fault Tree Automaton for the modelling and simulation of dynamic reliability problems F Chiacchio, D D'Urso, L Compagno, M Pennisi, F Pappalardo, G Manno Expert Systems with Applications 47, 42-57, 2016 | 56 | 2016 |
| Modeling the competition between lung metastases and the immune system using agents M Pennisi, F Pappalardo, A Palladini, G Nicoletti, P Nanni, PL Lollini, ... BMC bioinformatics 11 (7), 1-15, 2010 | 54 | 2010 |
| Modelling vaccination schedules for a cancer immunoprevention vaccine S Motta, F Castiglione, P Lollini, F Pappalardo Immunome Research 1 (1), 1-18, 2005 | 52 | 2005 |
| Vaccine protocols optimization: in silico experiences F Pappalardo, M Pennisi, F Castiglione, S Motta Biotechnology Advances 28 (1), 82-93, 2010 | 51 | 2010 |
| ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale M Halling-Brown, F Pappalardo, N Rapin, P Zhang, D Alemani, ... Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2010 | 48 | 2010 |
