Author

Serena Manganelli

Nestl

Biography

Dr. Serena Manganelli is currently working at Pathology Department. Serena Manganelli is research interests includes Pathology in Mutagenicity. Serena Manganelli serving as an editorial member and reviewer of several international reputed journals. Serena Manganelli has successfully completed his Administrative responsibilities. Serena Manganelli has authored of many research articles/books related to Medicine.
Title
Cited by
Year
CoMPARA: collaborative modeling project for androgen receptor activity
K Mansouri, N Kleinstreuer, AM Abdelaziz, D Alberga, VM Alves, ...Environmental Health Perspectives 128 (2), 027002, 2020202
110
2020
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, 2015201
86
2015
QSAR modeling of ToxCast assays relevant to the molecular initiating events of AOPs leading to hepatic steatosis
D Gadaleta, S Manganelli, A Roncaglioni, C Toma, E Benfenati, ...Journal of chemical information and modeling 58 (8), 1501-1517, 2018201
57
2018
QSAR model for predicting cell viability of human embryonic kidney cells exposed to SiO2 nanoparticles
S Manganelli, C Leone, AA Toropov, AP Toropova, E BenfenatiChemosphere 144, 995-1001, 2016201
41
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 BenfenatiToxicology 370, 20-30, 2016201
34
2016
Comparing the CORAL and Random Forest Approaches for Modelling the In Vitro Cytotoxicity of Silica Nanomaterials
A Cassano, RLM Robinson, A Palczewska, T Puzyn, A Gajewicz, L Tran, ...Alternatives to Laboratory Animals 44 (6), 533-556, 2016201
31
2016
Quasi-SMILES as a tool to utilize eclectic data for predicting the behavior of nanomaterials
AP Toropova, AA Toropov, S Manganelli, C Leone, D Baderna, ...NanoImpact 1, 60-64, 2016201
29
2016
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, 2016201
29
2016
A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity$
E Benfenati, A Golbamaki, G Raitano, A Roncaglioni, S Manganelli, ...SAR and QSAR in Environmental Research 29 (8), 591-611, 2018201
25
2018
Development, validation and integration of in silico models to identify androgen active chemicals
S Manganelli, A Roncaglioni, K Mansouri, RS Judson, E Benfenati, ...Chemosphere 220, 204-215, 2019201
24
2019
(Q) SAR tools for priority setting: A case study with printed paper and board food contact material substances
M Van Bossuyt, E Van Hoeck, G Raitano, S Manganelli, E Braeken, ...Food and Chemical Toxicology 102, 109-119, 2017201
22
2017
Validation of quantitative structure–activity relationship models to predict water-solubility of organic compounds
CI Cappelli, S Manganelli, A Lombardo, A Gissi, E BenfenatiScience of the total environment 463, 781-789, 2013201
21
2013
In silico approaches in carcinogenicity hazard assessment: current status and future needs
RR Tice, A Bassan, A Amberg, LT Anger, MA Beal, P Bellion, R Benigni, ...Computational Toxicology 20, 100191, 2021202
13
2021
QSAR model for cytotoxicity of silica nanoparticles on human embryonic kidney cells
S Manganelli, C Leone, AA Toropov, AP Toropova, E BenfenatiMaterials Today: Proceedings 3 (3), 847-854, 2016201
13
2016
Identification of a pepducin acting as S1P3 receptor antagonist
B Severino, GM Incisivo, F Fiorino, A Bertolino, F Frecentese, F Barbato, ...Journal of Peptide Science 19 (11), 717-724, 202
13
2013
Nano-QSAR model for predicting cell viability of human embryonic kidney cells
S Manganelli, E BenfenatiCell Viability Assays: Methods and Protocols, 275-290, 2017201
11
2017
Use of read-across tools
S Manganelli, E BenfenatiIn Silico Methods for Predicting Drug Toxicity, 305-322, 2016201
11
2016
Hierarchical rules for read-across and in silico models of mutagenicity
E Benfenati, S Manganelli, S Giordano, G Raitano, A ManganaroJournal of Environmental Science and Health, Part C 33 (4), 385-403, 2015201
10
2015
Integrating computational methods to predict mutagenicity of aromatic azo compounds
D Gadaleta, N Porta, E Vrontaki, S Manganelli, A Manganaro, G Sello, ...Journal of Environmental Science and Health, Part C 35 (4), 23-257, 2017201
9
2017
Integrated strategy for mutagenicity prediction applied to food contact chemicals
S Manganelli, B Schilter, E Benfenati, A Manganaro, EL PiparoALTEX-Alternatives to animal experimentation 35 (2), 16-178, 2018201
9
2018

Referred From: https://scholar.google.it/citations?user=o1OaN8YAAAAJ&hl=en

Cited by
Citations 630
h-index 13
i10-index 18
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