| Addressing a bottle neck for regulation of nanomaterials: quantitative read-across (Nano-QRA) algorithm for cases when only limited data is available A Gajewicz, K Jagiello, MTD Cronin, J Leszczynski, T Puzyn Environmental Science: Nano 4 (2), 346-358, 2017 | 63 | 2017 |
| Advantages and limitations of classic and 3D QSAR approaches in nano-QSAR studies based on biological activity of fullerene derivatives K Jagiello, M Grzonkowska, M Swirog, L Ahmed, B Rasulev, ... Journal of Nanoparticle Research 18, 1-16, 2016 | 55 | 2016 |
| How the toxicity of nanomaterials towards different species could be simultaneously evaluated: a novel multi-nano-read-across approach N Sizochenko, A Mikolajczyk, K Jagiello, T Puzyn, J Leszczynski, ... Nanoscale 10 (2), 582-591, 2018 | 54 | 2018 |
| Transcriptomics in toxicogenomics, part I: experimental design, technologies, publicly available data, and regulatory aspects PAS Kinaret, A Serra, A Federico, P Kohonen, P Nymark, I Liampa, MK Ha, ... Nanomaterials 10 (4), 750, 2020 | 50 | 2020 |
| Size-dependent electronic properties of nanomaterials: How this novel class of nanodescriptors supposed to be calculated? K Jagiello, B Chomicz, A Avramopoulos, A Gajewicz, A Mikolajczyk, ... Structural Chemistry 28, 635-643, 2017 | 50 | 2017 |
| Transcriptomics in toxicogenomics, part III: data modelling for risk assessment A Serra, M Fratello, L Cattelani, I Liampa, G Melagraki, P Kohonen, ... Nanomaterials 10 (4), 708, 2020 | 46 | 2020 |
| Transcriptomics in toxicogenomics, part II: preprocessing and differential expression analysis for high quality data A Federico, A Serra, MK Ha, P Kohonen, JS Choi, I Liampa, P Nymark, ... Nanomaterials 10 (5), 903, 2020 | 40 | 2020 |
| The possibility to use multi-walled carbon nanotubes as a sorbent for dispersive solid phase extraction of selected pharmaceuticals and their metabolites: effect of extraction … A Jakubus, K Godlewska, M Gromelski, K Jagiello, T Puzyn, P Stepnowski, ... Microchemical Journal 146, 1113-1125, 2019 | 35 | 2019 |
| Transcriptomics‐Based and AOP‐Informed Structure–Activity Relationships to Predict Pulmonary Pathology Induced by Multiwalled Carbon Nanotubes K Jagiello, S Halappanavar, A Rybińska‐Fryca, A Willliams, U Vogel, ... Small 17 (15), 2003465, 2021 | 34 | 2021 |
| Predicting enthalpy of vaporization for Persistent Organic Pollutants with Quantitative Structure–Property Relationship (QSPR) incorporating the influence of temperature on … A Sosnowska, M Barycki, K Jagiello, M Haranczyk, A Gajewicz, T Kawai, ... Atmospheric Environment 87, 10-18, 2014 | 33 | 2014 |
| Representing and describing nanomaterials in predictive nanoinformatics E Wyrzykowska, A Mikolajczyk, I Lynch, N Jeliazkova, N Kochev, ... Nature Nanotechnology 17 (9), 924-932, 2022 | 31 | 2022 |
| Direct QSPR: the most efficient way of predicting organic carbon/water partition coefficient (log K OC) for polyhalogenated POPs K Jagiello, A Sosnowska, S Walker, M Haranczyk, A Gajewicz, T Kawai, ... Structural Chemistry 25, 997-1004, 2014 | 24 | 2014 |
| Multi-objective genetic algorithm (MOGA) as a feature selecting strategy in the development of ionic liquids’ quantitative toxicity–toxicity relationship models M Barycki, A Sosnowska, K Jagiello, T Puzyn Journal of chemical information and modeling 58 (12), 2467-2476, 2018 | 23 | 2018 |
| How the “liquid drop” approach could be efficiently applied for quantitative structure–property relationship modeling of nanofluids N Sizochenko, K Jagiello, J Leszczynski, T Puzyn The Journal of Physical Chemistry C 119 (45), 25542-25547, 2015 | 21 | 2015 |
| Dispersive solid-phase extraction using multi-walled carbon nanotubes combined with liquid chromatography–mass spectrometry for the analysis of β-blockers: Experimental and … A Jakubus, M Gromelski, K Jagiello, T Puzyn, P Stepnowski, ... Microchemical Journal 146, 258-269, 2019 | 20 | 2019 |
| Towards modelling of the environmental fate of pharmaceuticals using the QSPR-MM scheme K Jagiello, A Mostrag-Szlichtyng, A Gajewicz, T Kawai, Y Imaizumi, ... Environmental Modelling & Software 72, 147-154, 2015 | 18 | 2015 |
| A strategy towards the generation of testable adverse outcome pathways for nanomaterials S Murugadoss, IV Vrcek, B Pem, K Jagiello, B Judzinska, A Sosnowska, ... ALTEX-Alternatives to animal experimentation 38 (4), 580-594, 2021 | 16 | 2021 |
| Geometry optimization of steroid sulfatase inhibitors-the influence on the free binding energy with STS K Jagiello, A Sosnowska, S Kar, S Demkowicz, M Daśko, J Leszczynski, ... Structural Chemistry 28, 1017-1032, 2017 | 14 | 2017 |
| An ancestral molecular response to nanomaterial particulates G Del Giudice, A Serra, LA Saarimäki, K Kotsis, I Rouse, SA Colibaba, ... Nature Nanotechnology 18 (8), 957-966, 2023 | 12 | 2023 |
| In vitro to in vivo extrapolation to support the development of the next generation risk assessment (NGRA) strategy for nanomaterials K Jagiello, K Ciura Nanoscale 14 (18), 6735-6742, 2022 | 11 | 2022 |
