| CAESAR models for developmental toxicity A Cassano, A Manganaro, T Martin, D Young, N Piclin, M Pintore, ... Chemistry Central Journal 4 (1), 1-11, 2010 | 560 | 2010 |
| Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction T Ferrari, D Cattaneo, G Gini, N Golbamaki Bakhtyari, A Manganaro, ... SAR and QSAR in Environmental Research 24 (5), 365-383, 2013 | 80 | 2013 |
| VEGA-QSAR: AI Inside a Platform for Predictive Toxicology. E Benfenati, A Manganaro, GC Gini PAI@ AI* IA, 21-28, 2013 | 71 | 2013 |
| A generalizable definition of chemical similarity for read-across M Floris, A Manganaro, O Nicolotti, R Medda, GF Mangiatordi, E Benfenati Journal of cheminformatics 6 (1), 1-7, 2014 | 59 | 2014 |
| ToxRead: a tool to assist in read across and its use to assess mutagenicity of chemicals G Gini, AM Franchi, A Manganaro, A Golbamaki, E Benfenati SAR and QSAR in Environmental Research 25 (12), 999-1011, 2014 | 41 | 2014 |
| In silico models for predicting ready biodegradability under REACH: a comparative study F Pizzo, A Lombardo, A Manganaro, E Benfenati Science of the total environment 463, 161-168, 2013 | 38 | 2013 |
| coral Software: QSAR for Anticancer Agents E Benfenati, AA Toropov, AP Toropova, A Manganaro, R Gonella Diaza Chemical biology & drug design 77 (6), 471-476, 2011 | 38 | 2011 |
| The CAESAR project for in silico models for the REACH legislation E Benfenati Chemistry Central Journal 4 (1), 1-3, 2010 | 37 | 2010 |
| Comparison of in silico tools for evaluating rat oral acute toxicity R Gonella Diaza, S Manganelli, A Esposito, A Roncaglioni, A Manganaro, ... SAR and QSAR in Environmental Research 26 (1), 1-27, 2015 | 33 | 2015 |
| Predicting persistence in the sediment compartment with a new automatic software based on the k-Nearest Neighbor (k-NN) algorithm A Manganaro, F Pizzo, A Lombardo, A Pogliaghi, E Benfenati Chemosphere 144, 1624-1630, 2016 | 30 | 2016 |
| Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Part 1. Theory and simple chemometric applications R Todeschini, D Ballabio, V Consonni, A Manganaro, A Mauri Analytica chimica acta 648 (1), 45-51, 2009 | 28 | 2009 |
| QSAR modelling of carcinogenicity by balance of correlations AA Toropov, AP Toropova, E Benfenati, A Manganaro Molecular diversity 13 (3), 367-373, 2009 | 28 | 2009 |
| A new in silico classification model for ready biodegradability, based on molecular fragments A Lombardo, F Pizzo, E Benfenati, A Manganaro, T Ferrari, G Gini Chemosphere 108, 10-16, 2014 | 27 | 2014 |
| Using toxicological evidence from QSAR models in practice E Benfenati, S Pardoe, T Martin, RG Diaza, A Lombardo, A Manganaro, ... ALTEX-Alternatives to animal experimentation 30 (1), 19-40, 2013 | 26 | 2013 |
| Introduction to MOLE DB-on-line molecular descriptors database D Ballabio, A Manganaro, V Consonni, A Mauri, R Todeschini MATCH Commun Math Comput Chem 62, 199-207, 2009 | 24 | 2009 |
| New quantitative structure–activity relationship models improve predictability of Ames mutagenicity for aromatic azo compounds S Manganelli, E Benfenati, A Manganaro, S Kulkarni, TS Barton-Maclaren, ... Toxicological Sciences 153 (2), 316-326, 2016 | 23 | 2016 |
| Results of a round-robin exercise on read-across E Benfenati, M Belli, T Borges, E Casimiro, J Cester, A Fernandez, G Gini, ... SAR and QSAR in Environmental Research 27 (5), 371-384, 2016 | 23 | 2016 |
| A knowledge-based expert rule system for predicting mutagenicity (Ames test) of aromatic amines and azo compounds D Gadaleta, S Manganelli, A Manganaro, N Porta, E Benfenati Toxicology 370, 20-30, 2016 | 22 | 2016 |
| QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations AA Toropov, AP Toropova, E Benfenati, A Manganaro Molecular diversity 14 (4), 821-827, 2010 | 20 | 2010 |
| Integrating in silico models to enhance predictivity for developmental toxicity M Marzo, S Kulkarni, A Manganaro, A Roncaglioni, S Wu, ... Toxicology 370, 127-137, 2016 | 19 | 2016 |
