Planning optimal grasps. C Ferrari, JF Canny ICRA 3 (4), 6, 1992 | 1217 | 1992 |
Genome-wide meta-analyses identify three loci associated with primary biliary cirrhosis X Liu, P Invernizzi, Y Lu, R Kosoy, Y Lu, I Bianchi, M Podda, C Xu, G Xie, ... Nature genetics 42 (8), 658-660, 2010 | 477 | 2010 |
An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Genome biology 17, 1-19, 2016 | 437 | 2016 |
International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways HJ Cordell, Y Han, GF Mells, Y Li, GM Hirschfield, CS Greene, G Xie, ... Nature communications 6 (1), 8019, 2015 | 325 | 2015 |
Comprehensive large-scale assessment of intrinsic protein disorder I Walsh, M Giollo, T Di Domenico, C Ferrari, O Zimmermann, SCE Tosatto Bioinformatics 31 (2), 201-208, 2015 | 166 | 2015 |
Cooperative behaviors in multi-robot systems through implicit communication E Pagello, A D’Angelo, F Montesello, F Garelli, C Ferrari Robotics and Autonomous Systems 29 (1), 65-77, 1999 | 143 | 1999 |
Multirobot motion coordination in space and time C Ferrari, E Pagello, J Ota, T Arai Robotics and autonomous systems 25 (3-4), 219-229, 1998 | 137 | 1998 |
NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation M Giollo, AJM Martin, I Walsh, C Ferrari, SCE Tosatto BMC genomics 15, 1-11, 2014 | 128 | 2014 |
Characterization of ligurian melanoma families and risk of occurrence of other neoplasia P Ghiorzo, P Ciotti, M Mantelli, A Heouaine, P Queirolo, ML Rainero, ... International journal of cancer 83 (4), 441-448, 1999 | 113 | 1999 |
INGA: protein function prediction combining interaction networks, domain assignments and sequence similarity D Piovesan, M Giollo, E Leonardi, C Ferrari, SCE Tosatto Nucleic acids research 43 (W1), W134-W140, 2015 | 96 | 2015 |
Antibody interface prediction with 3D Zernike descriptors and SVM S Daberdaku, C Ferrari Bioinformatics 35 (11), 1870-1876, 2019 | 87 | 2019 |
RepeatsDB: a database of tandem repeat protein structures T Di Domenico, E Potenza, I Walsh, R Gonzalo Parra, M Giollo, ... Nucleic acids research 42 (D1), D352-D357, 2014 | 76 | 2014 |
Exploring the potential of 3D Zernike descriptors and SVM for protein–protein interface prediction S Daberdaku, C Ferrari BMC bioinformatics 19, 1-23, 2018 | 58 | 2018 |
Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges R Daneshjou, Y Wang, Y Bromberg, S Bovo, PL Martelli, G Babbi, ... Human mutation 38 (9), 1182-1192, 2017 | 49 | 2017 |
ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19 M Etienne, N Ettalhaoui, AG Everding, M Evers, I Fabre, M Fabre, ... Scientific data 9 (1), 454, 2022 | 45 | 2022 |
Bariatric surgery in patients with inflammatory bowel disease: an accessible path? Report of a case series and review of the literature F Colombo, A Rizzi, C Ferrari, A Frontali, S Casiraghi, F Corsi, ... Journal of Crohn's and Colitis 9 (2), 185-190, 2015 | 45 | 2015 |
X chromosome contribution to the genetic architecture of primary biliary cholangitis R Asselta, EM Paraboschi, A Gerussi, HJ Cordell, GF Mells, RN Sandford, ... Gastroenterology 160 (7), 2483-2495. e26, 2021 | 43 | 2021 |
BOOGIE: predicting blood groups from high throughput sequencing data M Giollo, G Minervini, M Scalzotto, E Leonardi, C Ferrari, SCE Tosatto PLoS One 10 (4), e0124579, 2015 | 42 | 2015 |
RAPHAEL: recognition, periodicity and insertion assignment of solenoid protein structures I Walsh, FG Sirocco, G Minervini, T Di Domenico, C Ferrari, SCE Tosatto Bioinformatics 28 (24), 3257-3264, 2012 | 40 | 2012 |
A method for measuring individual research productivity in hospitals: development and feasibility C Caminiti, E Iezzi, C Ghetti, G De’Angelis, C Ferrari BMC health services research 15, 1-8, 2015 | 39 | 2015 |