| 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 (1), 907171, 2014 | 140 | 2014 |
| 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 | 78 | 2012 |
| 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 | 74 | 2016 |
| 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 | 71 | 2011 |
| The combination of artificial intelligence and systems biology for intelligent vaccine design G Russo, P Reche, M Pennisi, F Pappalardo Expert Opinion on Drug Discovery 15 (11), 1267-1281, 2020 | 68 | 2020 |
| 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 | 66 | 2016 |
| Credibility of In Silico Trial Technologies—A Theoretical Framing M Viceconti, MA Juárez, C Curreli, M Pennisi, G Russo, F Pappalardo IEEE journal of biomedical and health informatics 24 (1), 4-13, 2019 | 64 | 2019 |
| Persistence analysis in a Kolmogorov-type model for cancer-immune system competition C Bianca, F Pappalardo, M Pennisi, MA Ragusa AIP Conference Proceedings 1558 (1), 1797-1800, 2013 | 63 | 2013 |
| 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, 1-15, 2010 | 57 | 2010 |
| Vaccine protocols optimization: in silico experiences F Pappalardo, M Pennisi, F Castiglione, S Motta Biotechnology Advances 28 (1), 82-93, 2010 | 57 | 2010 |
| In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform G Russo, M Pennisi, E Fichera, S Motta, G Raciti, M Viceconti, ... BMC bioinformatics 21, 1-16, 2020 | 55 | 2020 |
| Immune system network and cancer vaccine C Bianca, M Pennisi, S Motta, MA Ragusa Numerical Analysis and Applied Mathematics ICNAAM 2011: International …, 2011 | 53 | 2011 |
| The triplex vaccine effects in mammary carcinoma: a nonlinear model in tune with SimTriplex C Bianca, M Pennisi Nonlinear Analysis: Real World Applications 13 (4), 1913-1940, 2012 | 52 | 2012 |
| Mathematical modeling of the immune system recognition to mammary carcinoma antigen C Bianca, F Chiacchio, F Pappalardo, M Pennisi BMC bioinformatics 13 (Suppl 17), S21, 2012 | 51 | 2012 |
| Mathematical and computational models in tumor immunology F Pappalardo, A Palladini, M Pennisi, F Castiglione, S Motta Mathematical Modelling of Natural Phenomena 7 (3), 186-203, 2012 | 51 | 2012 |
| 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 | 51 | 2010 |
| Dose-adjusted EPOCH plus rituximab improves the clinical outcome of young patients affected by double expressor diffuse large B-cell lymphoma A Dodero, A Guidetti, A Tucci, F Barretta, M Novo, L Devizzi, A Re, A Passi, ... Leukemia 33 (4), 1047-1051, 2019 | 49 | 2019 |
| Computational modelling approaches to vaccinology F Pappalardo, D Flower, G Russo, M Pennisi, S Motta Pharmacological research 92, 40-45, 2015 | 49 | 2015 |
| Induction of T-cell memory by a dendritic cell vaccine: a computational model F Pappalardo, M Pennisi, A Ricupito, F Topputo, M Bellone Bioinformatics 30 (13), 1884-1891, 2014 | 49 | 2014 |
| A computational model to predict the immune system activation by citrus-derived vaccine adjuvants F Pappalardo, E Fichera, N Paparone, A Lombardo, M Pennisi, G Russo, ... Bioinformatics 32 (17), 2672-2680, 2016 | 48 | 2016 |
