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Danuta Leszczynska
Danuta Leszczynska
Professor of Environmental Engineering, Jackson State University
Verified email at jsums.edu
Title
Cited by
Cited by
Year
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
T Puzyn, B Rasulev, A Gajewicz, X Hu, TP Dasari, A Michalkova, ...
Nature nanotechnology 6 (3), 175-178, 2011
7952011
Toward the development of “nano‐QSARs”: advances and challenges
T Puzyn, D Leszczynska, J Leszczynski
Small 5 (22), 2494-2509, 2009
2802009
Advancing risk assessment of engineered nanomaterials: application of computational approaches
A Gajewicz, B Rasulev, TC Dinadayalane, P Urbaszek, T Puzyn, ...
Advanced drug delivery reviews 64 (15), 1663-1693, 2012
2752012
Heterogeneous Fenton type processes for the degradation of organic dye pollutant in water—The application of zeolite assisted AOPs
M Aleksić, H Kušić, N Koprivanac, D Leszczynska, AL Božić
Desalination 257 (1-3), 22-29, 2010
2192010
Chemical activation of biochar for energy and environmental applications: a comprehensive review
B Sajjadi, T Zubatiuk, D Leszczynska, J Leszczynski, WY Chen
Reviews in Chemical Engineering 35 (7), 777-815, 2019
2002019
Superparamagnetic gel as a novel material for electromagnetically induced hyperthermia
M Babincová, D Leszczynska, P Sourivong, P Čičmanec, P Babinec
Journal of magnetism and magnetic materials 225 (1-2), 109-112, 2001
1962001
Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: Hints from nano-QSAR studies
A Gajewicz, N Schaeublin, B Rasulev, S Hussain, D Leszczynska, ...
Nanotoxicology 9 (3), 313-325, 2015
1942015
QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells
AA Toropov, AP Toropova, T Puzyn, E Benfenati, G Gini, D Leszczynska, ...
Chemosphere 92 (1), 31-37, 2013
1592013
Prediction of rate constants for radical degradation of aromatic pollutants in water matrix: A QSAR study
H Kušić, B Rasulev, D Leszczynska, J Leszczynski, N Koprivanac
Chemosphere 75 (8), 1128-1134, 2009
1512009
CORAL: quantitative structure–activity relationship models for estimating toxicity of organic compounds in rats
AP Toropova, AA Toropov, E Benfenati, G Gini, D Leszczynska, ...
Journal of computational chemistry 32 (12), 2727-2733, 2011
1192011
Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli
AA Toropov, AP Toropova, E Benfenati, G Gini, T Puzyn, D Leszczynska, ...
Chemosphere 89 (9), 1098-1102, 2012
1172012
Immunotoxicity of nanoparticles: A computational study suggests that CNTs and C 60 fullerenes might be recognized as pathogens by Toll-like receptors
M Turabekova, B Rasulev, M Theodore, J Jackman, D Leszczynska, ...
Nanoscale 6 (7), 3488-3495, 2014
1152014
Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions
AP Toropova, AA Toropov, R Rallo, D Leszczynska, J Leszczynski
Ecotoxicology and environmental safety 112, 39-45, 2015
1082015
Ultrasound cavitation intensified amine functionalization: a feasible strategy for enhancing CO2 capture capacity of biochar
R Chatterjee, B Sajjadi, DL Mattern, WY Chen, T Zubatiuk, D Leszczynska, ...
Fuel 225, 287-298, 2018
1062018
Blood-specific whole-body electromagnetic hyperthermia
M Babincova, P Sourivong, D Leszczynska, P Babinec
Medical hypotheses 55 (6), 459-460, 2000
922000
Comprehension of drug toxicity: software and databases
AA Toropov, AP Toropova, I Raska Jr, D Leszczynska, J Leszczynski
Computers in biology and medicine 45, 20-25, 2014
862014
Selective treatment of neoplastic cells using ferritin-mediated electromagnetic hyperthermia
M Babincova, D Leszczynska, P Sourivong, P Babinec
Medical hypotheses 54 (2), 177-179, 2000
822000
Receptor-and ligand-based study of fullerene analogues: comprehensive computational approach including quantum-chemical, QSAR and molecular docking simulations
L Ahmed, B Rasulev, M Turabekova, D Leszczynska, J Leszczynski
Organic & biomolecular chemistry 11 (35), 5798-5808, 2013
732013
Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector
AA Toropov, D Leszczynska, J Leszczynski
Computational Biology and Chemistry 31 (2), 127-128, 2007
692007
Comparison of SMILES and molecular graphs as the representation of the molecular structure for QSAR analysis for mutagenic potential of polyaromatic amines
AA Toropov, AP Toropova, SE Martyanov, E Benfenati, G Gini, ...
Chemometrics and Intelligent Laboratory Systems 109 (1), 94-100, 2011
682011
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Articles 1–20