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E. Benfenati · SciRah

Researcher profile · Semantic Scholar

E. Benfenati

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E. Benfenati — researcher profile on SciRah

h-index: 61
Works: 562
Citations: 17K

Most-cited papers

Green Chemistry in the Synthesis of Pharmaceuticals.
S. Kar, H. Sanderson, K. Roy, E. Benfenati +1 more
2021Chemical Reviews410 citations
Semantic Scholar
Review and priority setting for substances that are listed without a specific migration limit in Table 1 of Annex 1 of Regulation 10/2011 on plastic materials and articles intended to come into contact with food
V. Silano, J. M. Barat Baviera, C. Bolognesi, A. Chesson +24 more
2020EFSA journal. European Food Safety Authority275 citations Open access
Semantic Scholar
CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity
K. Mansouri, N. Kleinstreuer, A. Abdelaziz, Domenico Alberga +68 more
2020Environmental Health Perspectives147 citations Open access
Semantic Scholar
Guidance Document on Scientific criteria for grouping chemicals into assessment groups for human risk assessment of combined exposure to multiple chemicals
S. More, V. Bampidis, D. Benford, C. Bragard +20 more
2021EFSA journal. European Food Safety Authority120 citations Open access
Semantic Scholar
Internationalization of Read-Across as a Validated New Approach Method (NAM) for Regulatory Toxicology
C. Rovida, T. Barton-Maclaren, E. Benfenati, F. Caloni +27 more
2020ALTEX89 citations Open access
Semantic Scholar
CATMoS: Collaborative Acute Toxicity Modeling Suite
K. Mansouri, A. Karmaus, Jeremy M. Fitzpatrick, G. Patlewicz +98 more
2021Environmental Health Perspectives88 citations Open access
Semantic Scholar
Safer chemicals using less animals: kick-off of the European ONTOX project.
M. Vinken, E. Benfenati, F. Busquet, J. Castell +19 more
2021Toxicology85 citations Open access
Semantic Scholar
Towards a systematic use of effect biomarkers in population and occupational biomonitoring.
Maryam Zare Jeddi, N. Hopf, S. Viegas, A. Price +17 more
2021Environment International84 citations Open access
Semantic Scholar
Homology Modeling of the Human P-glycoprotein (ABCB1) and Insights into Ligand Binding through Molecular Docking Studies
Liadys Mora Lagares, N. Minovski, Ana Yisel Caballero Alfonso, E. Benfenati +4 more
2020International Journal of Molecular Sciences72 citations Open access
Semantic Scholar
Structures of endocrine-disrupting chemicals determine binding to and activation of the oestrogen receptor α (ERα) and androgen receptor (AR).
Hao-Yue Tan, Xiao-Xiang Wang, H. Hong, E. Benfenati +6 more
2020Environmental Science and Technology67 citations
Semantic Scholar
Developing human biomonitoring as a 21st century toolbox within the European exposure science strategy 2020-2030.
Maryam Zare Jeddi, N. Hopf, H. Louro, S. Viegas +48 more
2022Environment International62 citations Open access
Semantic Scholar
EFSA's OpenFoodTox: An open source toxicological database on chemicals in food and feed and its future developments.
J. Dorne, J. Richardson, A. Livaniou, E. Carnesecchi +22 more
2021Environment International61 citations Open access
Semantic Scholar
The way forward for assessing the human health safety of cosmetics in the eu workshop proceedings.
V. Rogiers, E. Benfenati, U. Bernauer, L. Bodin +22 more
2020Toxicology57 citations Open access
Semantic Scholar
The VEGAHUB Platform: The Philosophy and the Tools
A. Roncaglioni, A. Lombardo, E. Benfenati
2022Alternatives to laboratory animals : ATLA52 citations
Semantic Scholar
Structures of Endocrine-Disrupting Chemicals Correlate with the Activation of 12 Classic Nuclear Receptors.
Hao-Yue Tan, Qinchang Chen, H. Hong, E. Benfenati +4 more
2021Environmental Science and Technology46 citations
Semantic Scholar
QSAR models for soil ecotoxicity: Development and validation of models to predict reproductive toxicity of organic chemicals in the collembola Folsomia candida.
G. Lavado, D. Baderna, E. Carnesecchi, A. Toropova +3 more
2022Journal of Hazardous Materials41 citations Open access
Semantic Scholar
Integrating QSAR models predicting acute contact toxicity and mode of action profiling in honey bees (A. mellifera): Data curation using open source databases, performance testing and validation.
E. Carnesecchi, Cosimo Toma, A. Roncaglioni, N. Kramer +2 more
2020Science of the Total Environment41 citations Open access
Semantic Scholar
Machine learning - based q-RASAR modeling to predict acute contact toxicity of binary organic pesticide mixtures in honey bees.
M. Chatterjee, Arkaprava Banerjee, S. Tosi, E. Carnesecchi +2 more
2023Journal of Hazardous Materials40 citations
Semantic Scholar
The VEGA Tool to Check the Applicability Domain Gives Greater Confidence in the Prediction of In Silico Models
A. Danieli, Erika Colombo, G. Raitano, A. Lombardo +6 more
2023International Journal of Molecular Sciences39 citations Open access
Semantic Scholar
Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques
P. Delre, G. Lavado, G. Lamanna, M. Saviano +4 more
2022Frontiers in Pharmacology38 citations Open access
Semantic Scholar
New Models to Predict the Acute and Chronic Toxicities of Representative Species of the Main Trophic Levels of Aquatic Environments
Cosimo Toma, C. Cappelli, A. Manganaro, A. Lombardo +2 more
2021Molecules34 citations Open access
Semantic Scholar
A read-across case study on chronic toxicity of branched carboxylic acids (1): Integration of mechanistic evidence from new approach methodologies (NAMs) to explore a common mode of action.
S. Escher, Alejandro Aguayo-Orozco, E. Benfenati, A. Bitsch +30 more
2021Toxicology in Vitro32 citations Open access
Semantic Scholar
Ecotoxicological effects of atmospheric particulate produced by braking systems on aquatic and edaphic organisms.
A. Volta, S. Sforzini, Corrado Camurati, Federico Teoldi +6 more
2020Environment International31 citations Open access
Semantic Scholar
Prediction of the Neurotoxic Potential of Chemicals Based on Modelling of Molecular Initiating Events Upstream of the Adverse Outcome Pathways of (Developmental) Neurotoxicity
D. Gadaleta, N. Spînu, A. Roncaglioni, M. Cronin +1 more
2022International Journal of Molecular Sciences29 citations Open access
Semantic Scholar
QSAR models for biocides: The example of the prediction of Daphnia magna acute toxicity
M. Marzo, G. Lavado, F. Como, A. Toropova +7 more
2020SAR and QSAR in environmental research (Print)27 citations
Semantic Scholar
Patent Toxicity
Gianluca Biggi, E. Giuliani, Arianna Martinelli, E. Benfenati
2022Research Policy26 citations
Semantic Scholar
Artificial Intelligence Meets Toxicology.
I. Tetko, G. Klambauer, Djork-Arné Clevert, Imran Shah +1 more
2022Chemical Research in Toxicology24 citations Open access
Semantic Scholar
Integrated in silico models for the prediction of No-Observed-(Adverse)-Effect-Levels and Lowest-Observed-(Adverse)-Effect-Levels in rats for sub-chronic repeated dose toxicity.
D. Gadaleta, M. Marzo, A. Toropov, A. Toropova +4 more
2020Chemical Research in Toxicology24 citations
Semantic Scholar
QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors
Cosimo Toma, A. Manganaro, G. Raitano, M. Marzo +5 more
2020Molecules24 citations Open access
Semantic Scholar
New approach methodologies to facilitate and improve the hazard assessment of non-genotoxic carcinogens—a PARC project
M. Audebert, A. Assmann, A. Azqueta, P. Babica +30 more
2023Frontiers in Toxicology23 citations Open access
Semantic Scholar
Automated Integration of Structural, Biological and Metabolic Similarities to Improve Read-Across
D. Gadaleta, Azadi Golbamaki Bakhtyari, G. Lavado, A. Roncaglioni +1 more
202023 citations
Semantic Scholar
Ecotoxicological QSAR modeling of the acute toxicity of organic compounds to the freshwater crustacean Thamnocephalus platyurus.
G. Lavado, D. Baderna, D. Gadaleta, Marta Ultre +2 more
2021Chemosphere22 citations
Semantic Scholar
Chemometric modeling to predict air half-life of persistent organic pollutants (POPs).
P. M. Khan, D. Baderna, A. Lombardo, K. Roy +1 more
2020Journal of Hazardous Materials22 citations
Semantic Scholar
Intelligent consensus predictions of bioconcentration factor of pharmaceuticals using 2D and fragment-based descriptors.
Kabiruddin Khan, Vinay Kumar, Erika Colombo, A. Lombardo +2 more
2022Environment International21 citations Open access
Semantic Scholar
The index of ideality of correlation improves the predictive potential of models of the antioxidant activity of tripeptides from frog skin (Litoria rubella)
A. Toropova, A. Toropov, A. Roncaglioni, E. Benfenati
2021Comput. Biol. Medicine19 citations
Semantic Scholar
The using of the Index of Ideality of Correlation (IIC) to improve predictive potential of models of water solubility for pesticides
A. Toropova, A. Toropov, E. Carnesecchi, E. Benfenati +1 more
2020Environmental science and pollution research international19 citations
Semantic Scholar
Development of new QSAR models for water, sediment, and soil half-life.
A. Lombardo, A. Manganaro, Jürgen Arning, E. Benfenati
2022Science of the Total Environment18 citations
Semantic Scholar
Monte Carlo Models for Sub-Chronic Repeated-Dose Toxicity: Systemic and Organ-Specific Toxicity
G. Selvestrel, G. Lavado, A. Toropova, A. Toropov +4 more
2022International Journal of Molecular Sciences18 citations Open access
Semantic Scholar
SpheraCosmolife: a new tool for the risk assessment of cosmetic products.
G. Selvestrel, F. Robino, D. Baderna, S. Manganelli +7 more
2021ALTEX18 citations Open access
Semantic Scholar
Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potential
A. Toropova, A. Toropov, A. Roncaglioni, E. Benfenati
2022SAR and QSAR in environmental research (Print)17 citations Open access
Semantic Scholar
A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians.
A. Toropov, M. D. Di Nicola, A. Toropova, A. Roncaglioni +6 more
2022Science of the Total Environment17 citations Open access
Semantic Scholar
Ecosystem ecology: Models for acute toxicity of pesticides towards Daphnia magna.
C. Cappelli, A. Toropov, A. Toropova, E. Benfenati
2020Environmental Toxicology and Pharmacology17 citations
Semantic Scholar
Erratum: CATMoS: Collaborative Acute Toxicity Modeling Suite
K. Mansouri, A. Karmaus, Jeremy M. Fitzpatrick, G. Patlewicz +98 more
2021Environmental Health Perspectives16 citations Open access
Semantic Scholar
Virtual Extensive Read-Across: A New Open-Access Software for Chemical Read-Across and Its Application to the Carcinogenicity Assessment of Botanicals
E. L. Viganò, Erika Colombo, G. Raitano, A. Manganaro +3 more
2022Molecules15 citations Open access
Semantic Scholar
Human-Based New Approach Methodologies in Developmental Toxicity Testing: A Step Ahead from the State of the Art with a Feto–Placental Organ-on-Chip Platform
M. Luconi, M. Sogorb, U. Markert, E. Benfenati +6 more
2022International Journal of Environmental Research and Public Health14 citations Open access
Semantic Scholar
Quantitative Structure-Activity Relationship Modeling of the Amplex Ultrared Assay to Predict Thyroperoxidase Inhibitory Activity
D. Gadaleta, L. D'Alessandro, M. Marzo, E. Benfenati +1 more
2021Frontiers in Pharmacology13 citations Open access
Semantic Scholar
New QSAR models to predict chromosome damaging potential based on the in vivo micronucleus test.
M. Van Bossuyt, G. Raitano, M. Honma, E. Van Hoeck +4 more
2020Toxicology Letters13 citations Open access
Semantic Scholar
21st Century Approaches for Evaluating Exposures, biological activity, and risks of complex substances: Workshop highlights.
U. Sauer, R. Barter, R. Becker, E. Benfenati +9 more
2020Regulatory toxicology and pharmacology : RTP13 citations Open access
Semantic Scholar
Modeling the migration of chemicals from food contact materials to food: The MERLIN-expo/SPHERA toolbox.
P. Ciffroy, B. Mertens, E. Van Hoeck, I. Van Overmeire +5 more
2022Food and Chemical Toxicology12 citations
Semantic Scholar
Correction to Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor.
Hao-Yue Tan, Xiao-Xiang Wang, H. Hong, E. Benfenati +6 more
2022Environmental Science and Technology11 citations
Semantic Scholar

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