| 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 | 824 | 2011 |
| Toward the development of “nano‐QSARs”: advances and challenges T Puzyn, D Leszczynska, J Leszczynski Small 5 (22), 2494-2509, 2009 | 284 | 2009 |
| 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 | 283 | 2012 |
| Recent advances in QSAR studies: methods and applications T Puzyn, J Leszczynski, MT Cronin Springer Science & Business Media, 2010 | 245 | 2010 |
| Zeta potential for metal oxide nanoparticles: a predictive model developed by a nano-quantitative structure–property relationship approach A Mikolajczyk, A Gajewicz, B Rasulev, N Schaeublin, E Maurer-Gardner, ... Chemistry of Materials 27 (7), 2400-2407, 2015 | 215 | 2015 |
| 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 | 201 | 2015 |
| “NanoBRIDGES” software: open access tools to perform QSAR and nano-QSAR modeling P Ambure, RB Aher, A Gajewicz, T Puzyn, K Roy Chemometrics and Intelligent Laboratory Systems 147, 1-13, 2015 | 184 | 2015 |
| 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 | 162 | 2013 |
| Organic pollutants ten years after the Stockholm convention: environmental and analytical update T Puzyn, A Mostrag BoD–Books on Demand, 2012 | 144 | 2012 |
| Calculation of quantum-mechanical descriptors for QSPR at the DFT level: is it necessary? T Puzyn, N Suzuki, M Haranczyk, J Rak Journal of chemical information and modeling 48 (6), 1174-1180, 2008 | 140 | 2008 |
| Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: A mechanistic QSTR approach S Kar, A Gajewicz, T Puzyn, K Roy, J Leszczynski Ecotoxicology and environmental safety 107, 162-169, 2014 | 128 | 2014 |
| 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 | 123 | 2012 |
| Investigating the influence of data splitting on the predictive ability of QSAR/QSPR models T Puzyn, A Mostrag-Szlichtyng, A Gajewicz, M Skrzyński, AP Worth Structural Chemistry 22, 795-804, 2011 | 115 | 2011 |
| From basic physics to mechanisms of toxicity: The “liquid drop” approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles N Sizochenko, B Rasulev, A Gajewicz, V Kuz'min, T Puzyn, J Leszczynski Nanoscale 6 (22), 13986-13993, 2014 | 114 | 2014 |
| How should the completeness and quality of curated nanomaterial data be evaluated? RLM Robinson, I Lynch, W Peijnenburg, J Rumble, F Klaessig, ... Nanoscale 8 (19), 9919-9943, 2016 | 112 | 2016 |
| Enhanced photocatalytic properties of lanthanide-TiO2 nanotubes: An experimental and theoretical study P Mazierski, W Lisowski, T Grzyb, MJ Winiarski, T Klimczuk, A Mikołajczyk, ... Applied Catalysis B: Environmental 205, 376-385, 2017 | 108 | 2017 |
| NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment A Afantitis, G Melagraki, P Isigonis, A Tsoumanis, DD Varsou, ... Computational and Structural Biotechnology Journal 18, 583-602, 2020 | 107 | 2020 |
| Towards FAIR nanosafety data N Jeliazkova, MD Apostolova, C Andreoli, F Barone, A Barrick, ... Nature Nanotechnology 16 (6), 644-654, 2021 | 101 | 2021 |
| Mercury content and its bioconcentration factors in wild mushrooms at Łukta and Morag, northeastern Poland J Falandysz, K Lipka, M Kawano, A Brzostowski, M Dadej, A Jedrusiak, ... Journal of agricultural and food chemistry 51 (9), 2832-2836, 2003 | 97 | 2003 |
| Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in … S Kar, A Gajewicz, T Puzyn, K Roy Toxicology in Vitro 28 (4), 600-606, 2014 | 95 | 2014 |
