| Human common carotid wall shear stress as a function of age and gender: a 12-year follow-up study C Irace, C Carallo, MS De Franceschi, F Scicchitano, M Milano, ... Age 34, 1553-1562, 2012 | 64 | 2012 |
| Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ... EClinicalMedicine 55, 2023 | 57 | 2023 |
| Extracting cross-ontology weighted association rules from gene ontology annotations G Agapito, M Milano, PH Guzzi, M Cannataro IEEE/ACM transactions on computational biology and bioinformatics 13 (2 …, 2015 | 46 | 2015 |
| An extensive assessment of network alignment algorithms for comparison of brain connectomes M Milano, PH Guzzi, O Tymofieva, D Xu, C Hess, P Veltri, M Cannataro BMC bioinformatics 18, 31-45, 2017 | 44 | 2017 |
| International analysis of electronic health records of children and youth hospitalized with COVID-19 infection in 6 countries FT Bourgeois, A Gutiérrez-Sacristán, MS Keller, M Liu, C Hong, ... JAMA network open 4 (6), e2112596-e2112596, 2021 | 36 | 2021 |
| Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges. PH Guzzi, M Milano, M Cannataro Procedia Computer Science 29, 1970-1980, 2014 | 30 | 2014 |
| HetNetAligner: a novel algorithm for local alignment of heterogeneous biological networks M Milano, PH Guzzi, M Cannataro Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018 | 25 | 2018 |
| Glalign: A novel algorithm for local network alignment M Milano, PH Guzzi, M Cannataro IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018 | 24 | 2018 |
| Methodologies and experimental platforms for generating and analysing microarray and mass spectrometry-based omics data to support P4 medicine PH Guzzi, G Agapito, M Milano, M Cannataro Briefings in bioinformatics 17 (4), 553-561, 2016 | 24 | 2016 |
| Hospitalizations associated with mental health conditions among adolescents in the US and France during the COVID-19 pandemic A Gutiérrez-Sacristán, A Serret-Larmande, MR Hutch, C Sáez, BJ Aronow, ... JAMA Network Open 5 (12), e2246548-e2246548, 2022 | 22 | 2022 |
| Statistical and network-based analysis of Italian COVID-19 data: communities detection and temporal evolution M Milano, M Cannataro International journal of environmental research and public health 17 (12), 4182, 2020 | 22 | 2020 |
| Using GO-WAR for mining cross-ontology weighted association rules G Agapito, M Cannataro, PH Guzzi, M Milano Computer methods and programs in biomedicine 120 (2), 113-122, 2015 | 21 | 2015 |
| Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium F Sperotto, A Gutiérrez-Sacristán, S Makwana, X Li, VN Rofeberg, T Cai, ... EClinicalMedicine 64, 2023 | 20 | 2023 |
| Challenges and limitations of biological network analysis M Milano, G Agapito, M Cannataro BioTech 11 (3), 24, 2022 | 20 | 2022 |
| Profiling basic health information of tourists: towards a recommendation system for the adaptive delivery of medical certified nutrition contents G Agapito, B Calabrese, I Care, D Falcone, PH Guzzi, N Ielpo, ... 2014 International Conference on High Performance Computing & Simulation …, 2014 | 19 | 2014 |
| International comparisons of harmonized laboratory value trajectories to predict severe covid-19: Leveraging the 4ce collaborative across 342 hospitals and 6 countries: A … GM Weber, C Hong, NP Palmer, P Avillach, SN Murphy, ... medRxiv, 2021 | 17 | 2021 |
| GoD: An R-package based on ontologies for prioritization of genes with respect to diseases M Cannataro, PH Guzzi, M Milano Journal of Computational Science 9, 7-13, 2015 | 16 | 2015 |
| A python clustering analysis protocol of genes expression data sets G Agapito, M Milano, M Cannataro Genes 13 (10), 1839, 2022 | 14 | 2022 |
| Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study A Dagliati, ZH Strasser, ZSH Abad, JG Klann, KB Wagholikar, R Mesa, ... Eclinicalmedicine 64, 2023 | 12 | 2023 |
| Artificial intelligence in bioinformatics: from omics analysis to deep learning and network mining M Cannataro, PH Guzzi, G Agapito, C Zucco, M Milano Elsevier, 2022 | 12 | 2022 |
