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E. Fioravanzo · SciRah

Researcher profile · Semantic Scholar

E. Fioravanzo

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E. Fioravanzo — researcher profile on SciRah

h-index: 13
Works: 53
Citations: 542

Most-cited papers

Quantitative structure-skin permeability relationships.
I. Tsakovska, I. Pajeva, M. Al Sharif, P. Alov +7 more
2017Toxicology94 citations Open access
Semantic Scholar
Molecular Modelling Study of the PPARγ Receptor in Relation to the Mode of Action/Adverse Outcome Pathway Framework for Liver Steatosis
I. Tsakovska, M. Al Sharif, P. Alov, Antonia Diukendjieva +3 more
2014International Journal of Molecular Sciences53 citations Open access
Semantic Scholar
New anti-viral drugs for the treatment of the common cold.
Caterina Maugeri, M. Alisi, C. Apicella, L. Cellai +12 more
2008Bioorganic & Medicinal Chemistry47 citations
Semantic Scholar
Evaluation of the applicability of existing (Q)SAR models for predicting the genotoxicity of pesticides and similarity analysis related with genotoxicity of pesticides for facilitating of grouping and read across
R. Benigni, Chiara Laura Battistelli, Cecilia Bossa, A. Giuliani +6 more
2019EFSA Supporting Publications45 citations Open access
Semantic Scholar
Prediction of dose-hepatotoxic response in humans based on toxicokinetic/toxicodynamic modeling with or without in vivo data: a case study with acetaminophen.
A. Péry, C. Brochot, F. Zeman, E. Mombelli +4 more
2013Toxicology Letters34 citations
Semantic Scholar
Conformational Studies of Chiral Vinylogous Sulfonamidopeptides
C. Gennari, B. Salom, D. Potenza, C. Longari +3 more
199631 citations
Semantic Scholar
The application of molecular modelling in the safety assessment of chemicals: A case study on ligand-dependent PPARγ dysregulation.
M. Al Sharif, I. Tsakovska, I. Pajeva, P. Alov +9 more
2017Toxicology27 citations Open access
Semantic Scholar
Evaluation of the applicability of existing (Q)SAR models for predicting the genotoxicity of pesticides and similarity analysis related with genotoxicity of pesticides for facilitating of grouping and read across: An EFSA funded project.
R. Benigni, R. Serafimova, J. P. Parra Morte, C. Battistelli +10 more
2020Regulatory toxicology and pharmacology : RTP25 citations
Semantic Scholar
Applicability of physicochemical data, QSARs and read-across in Threshold of Toxicological Concern assessment
A. Bassan, E. Fioravanzo, M. Pavan, M. Stocchero
201125 citations Open access
Semantic Scholar
Role of in silico genotoxicity tools in the regulatory assessment of pharmaceutical impurities
E. Fioravanzo, A. Bassan, M. Pavan, A. Mostrag-Szlichtyng +1 more
2012SAR and QSAR in environmental research (Print)24 citations
Semantic Scholar
Final report on the update and maintenance of OpenFoodTox: EFSA's Chemical Hazards Database
L. Ceriani, A. Ciacci, R. Baldin, S. Kovarich +3 more
2018EFSA Supporting Publications21 citations Open access
Semantic Scholar
Origins of stereoselectivity in the addition of allyl- and crotylboronates to aldehydes : the development and application of a force field model of the transition state
C. Gennari, E. Fioravanzo, A. Bernardi, A. Vulpetti
199419 citations
Semantic Scholar
Assessment of the Intestinal Absorption of Higher Olefins by the Everted Gut Sac Model in Combination with In Silico New Approach Methodologies
Quan Shi, J. Carrillo, M. Penman, J. Manton +7 more
2022Chemical Research in Toxicology13 citations Open access
Semantic Scholar
Further development and update of EFSA's Chemical Hazards Database
B. Barbaro, R. Baldin, S. Kovarich, M. Pavan +2 more
201513 citations Open access
Semantic Scholar
General and independent approaches to predict HERG affinity values
BioChem Press, E. Fioravanzo, N. Cazzolla, L. Durando +4 more
200412 citations
Semantic Scholar
Integrated in silico modeling for the prediction of chronic toxicity
A. Richarz, M. Berthold, E. Fioravanzo, D. Neagu +3 more
20138 citations Open access
Semantic Scholar
Report on “Data collection and data entry for EFSA's chemical hazards database NP/EFSA/EMRISK/2011/01”
R. Baldin, E. Fioravanzo, M. Pavan, A. Bassan
20137 citations Open access
Semantic Scholar
Development of new COSMOS oRepeatDose and non-cancer Threshold of Toxicological Concern (TTC) databases to support alternative testing methods for cosmetics related chemicals
Chihae Yang, M. Ambrosio, K. Arvidson, S. Barlow +17 more
20137 citations
Semantic Scholar
The Consultancy Activity on In Silico Models for Genotoxic Prediction of Pharmaceutical Impurities.
M. Pavan, S. Kovarich, A. Bassan, Lorenza Broccardo +2 more
2016Methods in molecular biology5 citations
Semantic Scholar
COSMOS DB as an international share point for exchanging regulatory and toxicity data of cosmetics ingredients and related substances
Chihae Yang, D. Hristozov, A. Tarkhov, Thomas Kleinöder +11 more
20155 citations Open access
Semantic Scholar
Development of Computational Models for the Risk Assessment of Cosmetic Ingredients
S. Anzali, M. Berthold, E. Fioravanzo, D. Neagu +5 more
20125 citations
Semantic Scholar
Ranking strategies to support toxicity prediction: A case study on potential LXR binders
Anna Palczewska, S. Kovarich, A. Ciacci, E. Fioravanzo +2 more
2019Computational Toxicology4 citations Open access
Semantic Scholar
Third report on the update and maintenance of EFSA's Chemical Hazards Database
L. Ceriani, R. Baldin, S. Kovarich, M. Pavan +2 more
2017EFSA Supporting Publications4 citations Open access
Semantic Scholar
Molecular modelling of LXR binding to evaluate the potential for liver steatosis
E. Fioravanzo, A. Bassan, M. Cronin, S. Kovarich +4 more
20134 citations
Semantic Scholar
In silico approaches to support liver toxicity screening of chemicals: Case study on molecular modelling of ligands–nuclear receptors interactions to predict potential steatogenic effects
I. Tsakovska, M. Al Sharif, E. Fioravanzo, A. Bassan +6 more
20152 citations
Semantic Scholar
Toward better understanding of liver steatosis MoA: Molecular modelling study of PPAR gamma receptor
M. Al Sharif, P. Alov, M. Cronin, E. Fioravanzo +5 more
20132 citations
Semantic Scholar
Induced fit and pharmacophore generation approach applied to A2A adenosine receptor antagonists
M. Parenti, E. Fioravanzo, M. Mabilia, G. Gallo +1 more
20062 citations Open access
Semantic Scholar
ToxGPS, a solution guiding read-across workflow based on chemoinformatics and safety assessment
Chihae Yang, B. Bienfait, M. Cronin, E. Fioravanzo +12 more
2018Toxicology Letters1 citations
Semantic Scholar
Supporting data-mining, read-across and chemical space analysis for toxicity data gap filling using the COSMOS database
C. Schwab, Chihae Yang, J. Rathman, A. Mostrag-Szlichtyng +6 more
20171 citations
Semantic Scholar
Chemical and mechanistic similarity based assessment of the cosmetics space supporting the evaluation of cosmetics-related substances
A. Richarz, S. Enoch, E. Fioravanzo, S. Kovarich +9 more
20151 citations
Semantic Scholar
Chemoinformatica
M. Mabilia, M. Bacilieri, A. Bassan, Lorenza Broccardo +4 more
2012Springer Milan1 citations
Semantic Scholar
P18-67 A Multi-Tiered Computational Workflow for Large-Scale Endocrine-disrupting chemicals Screening: Impact of Multi-Model Ensembles on Predictive Sensitivity and Prioritization
E. Fioravanzo, P. Russell, M. Bhowmik, M. Heringa +3 more
2026Toxicology Letters0 citations
Semantic Scholar
P18-65 A High-Throughput Computational Framework for the Prioritization of PBT/vPvB and PMT Substances
P. Russell, E. Fioravanzo, S. Saulzet, J. Rowland +3 more
2026Toxicology Letters0 citations
Semantic Scholar
P27-12 An Industry Approach to Prioritise Endocrine Disruption Evaluation of UVCB substances
C. Haines, L. Higgins, E. E. Maloney, M. Rooseboom +8 more
2026Toxicology Letters0 citations
Semantic Scholar
P04-14 Identify chemicals potentially able to interfere with the endocrine system using a suite of complementary in silico models employing semi-automation
E. Fioravanzo, P. Russell
2022Toxicology Letters0 citations
Semantic Scholar
P17-17 Assessment of the intestinal absorption of higher olefins by the everted gut sac model in combination with in silicon newapproach methodologies
Q. Shi, J. Carrillo, M. Penman, J. Manton +7 more
2022Toxicology Letters0 citations
Semantic Scholar
Predicting nuclear receptor activity of chemicals using a suite of complementary in silico methods for endocrine disruption hazard identification
E. Fioravanzo, P. Russell
2021Toxicology Letters0 citations
Semantic Scholar
Toward establishing a standardized process and tool within the read-across workflow: A case study of agrochemicals for reproductive toxicity
S. Kovarich, B. Bienfait, L. Ceriani, E. Fioravanzo +9 more
20170 citations
Semantic Scholar
Development of an ECHA structured database on repeated dose toxicity
L. Ceriani, A. Bassan, A. Gissi, A. Ciacci +5 more
20170 citations
Semantic Scholar
In silico screening for early hazard assessment: A case study on organic aerosol compounds
S. Kovarich, A. Ciacci, S. Decesari, E. Fioravanzo +3 more
20160 citations
Semantic Scholar
Risk assessment and control of potentially genotoxic impurities: Implementation of a fully integrated approach
C. Devastato, E. Fioravanzo, S. Kovarich, M. Pavan +5 more
20160 citations
Semantic Scholar
Increasing the availability of high quality regulatory and toxicity data through the COSMOS DB DataShare Point
M. Cronin, Chihae Yang, K. Arvidson, I. Boyer +8 more
20160 citations
Semantic Scholar
Computational chemistry solutions supporting chemical safety assessment: Lessons learned for using in silico approaches
M. Cronin, F. Bois, E. Fioravanzo, T. Meinl +4 more
20150 citations
Semantic Scholar
In silico assessment of genotoxic impurities: Case-studies using ChemTunes Studio
E. Fioravanzo, Chihae Yang, J. Rathman, C. Schwab +3 more
20150 citations
Semantic Scholar
Characterization and quantification of genotoxic impurities complying with ICH M7: A pharma perspective
C. Landolfi, C. Devastato, M. Corradin, L. Durando +5 more
20150 citations
Semantic Scholar
The EFSA's Chemical Hazards Database, structure and content
E. Fioravanzo, A. Bassan, J. Dorne, Jane M. Richardson +3 more
20150 citations
Semantic Scholar
Characterisation of the Chemical Space of the COSMOS Cosmetics Inventory and the COSMOS Non-Cancer TTC Dataset
M. Pavan, M. Cronin, S. Enoch, M. Fuart-Gatnik +9 more
20130 citations
Semantic Scholar
P05-07Development of integrated in silico models for toxicity prediction focussing on cosmetic ingredients
A. Richarz, D. Neagu, Chihae Yang, E. Fioravanzo +4 more
20130 citations
Semantic Scholar
Reports on toxicokinetics, toxicity and allergenicity data on substances to be evaluated as acceptable previous cargoes for edible fats and oils (NP/EFSA/CONTAM/2011/01) – Batches n. 1, 2 and 3
A. Bassan, E. Fioravanzo, M. Pavan, A. Conto
20120 citations
Semantic Scholar
COSMOS : An International Cooperative Project Developing Computational Models for Repeated Dose Toxicity
A. Richarz, D. Neagu, Chihae Yang, E. Fioravanzo +3 more
20120 citations
Semantic Scholar

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Chihae Yang×23
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Chihae Yang — researcher profile on SciRah
A. Bassan×17
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A. Bassan — researcher profile on SciRah
S. Kovarich×16
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S. Kovarich — researcher profile on SciRah
M. Pavan×16
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M. Pavan — researcher profile on SciRah

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M. Cronin — researcher profile on SciRah

Andrew Paul Worth×12

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A. Richarz — researcher profile on SciRah

I. Tsakovska×9

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J. Rathman — researcher profile on SciRah

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C. Schwab — researcher profile on SciRah

A. Mostrag-Szlichtyng×7

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D. Neagu — researcher profile on SciRah