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A. Sosnowska · SciRah

Researcher profile · Semantic Scholar

A. Sosnowska

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A. Sosnowska — researcher profile on SciRah

h-index: 18
Works: 58
Citations: 886

Most-cited papers

Exploring BPA alternatives - Environmental levels and toxicity review.
O. Adamovsky, Ksenia J. Groh, A. Białk-Bielińska, B. Escher +39 more
2024Environment International83 citations Open access
Semantic Scholar
Towards designing environmentally safe ionic liquids: the influence of the cation structure
A. Sosnowska, Maciej Barycki, M. Zaborowska, A. Rybińska +1 more
201453 citations
Semantic Scholar
How the Structure of Per- and Polyfluoroalkyl Substances (PFAS) Influences Their Binding Potency to the Peroxisome Proliferator-Activated and Thyroid Hormone Receptors—An In Silico Screening Study
D. Kowalska, A. Sosnowska, N. Bulawska, M. Stępnik +3 more
2023Molecules50 citations Open access
Semantic Scholar
How the structure of ionic liquid affects its toxicity to Vibrio fischeri?
Monika Grzonkowska, A. Sosnowska, Maciej Barycki, A. Rybińska +1 more
2016Chemosphere49 citations
Semantic Scholar
Prediction of dielectric constant of ionic liquids
A. Rybińska-Fryca, A. Sosnowska, T. Puzyn
2018Journal of Molecular Liquids47 citations
Semantic Scholar
Temperature-dependent structure-property modeling of viscosity for ionic liquids
Maciej Barycki, A. Sosnowska, A. Gajewicz, Maciej Bobrowski +10 more
201642 citations
Semantic Scholar
Filling environmental data gaps with QSPR for ionic liquids: Modeling n-octanol/water coefficient.
A. Rybińska, A. Sosnowska, Monika Grzonkowska, Maciej Barycki +1 more
2016Journal of Hazardous Materials40 citations
Semantic Scholar
Geometry optimization method versus predictive ability in QSPR modeling for ionic liquids
A. Rybińska, A. Sosnowska, Maciej Barycki, T. Puzyn
2016Journal of Computer-Aided Molecular Design39 citations
Semantic Scholar
Environmental impact of PFAS: Filling data gaps using theoretical quantum chemistry and QSPR modeling.
M. Mudlaff, A. Sosnowska, L. Gorb, N. Bulawska +2 more
2024Environment International34 citations Open access
Semantic Scholar
Global versus local QSAR models for predicting ionic liquids toxicity against IPC-81 leukemia rat cell line: The predictive ability
A. Sosnowska, Monika Grzonkowska, T. Puzyn
201733 citations
Semantic Scholar
Predicting enthalpy of vaporization for Persistent Organic Pollutants with Quantitative Structure–Property Relationship (QSPR) incorporating the influence of temperature on volatility
A. Sosnowska, Maciej Barycki, Karolina Jagiello, M. Haranczyk +4 more
201430 citations
Semantic Scholar
Predicting bioconcentration factors (BCFs) for Per- and Polyfluoroalkyl Substances (PFAS).
D. Kowalska, A. Sosnowska, Szymon Zdybel, M. Stepnik +1 more
2024Chemosphere27 citations Open access
Semantic Scholar
Towards higher scientific validity and regulatory acceptance of predictive models for PFAS
A. Sosnowska, N. Bulawska, D. Kowalska, T. Puzyn
2023Green Chemistry26 citations Open access
Semantic Scholar
Direct QSPR: the most efficient way of predicting organic carbon/water partition coefficient (log KOC) for polyhalogenated POPs
Karolina Jagiello, A. Sosnowska, S. Walker, M. Haranczyk +5 more
2014Structural Chemistry25 citations Open access
Semantic Scholar
Relatively high-Seebeck thermoelectric cells containing ionic liquids supplemented by cobalt redox couple
A. Sosnowska, E. Laux, H. Keppner, T. Puzyn +1 more
202021 citations
Semantic Scholar
A 2024 inventory of test methods relevant to thyroid hormone system disruption for human health and environmental regulatory hazard assessment
L. Vergauwen, Lola Bajard, S. Tait, I. Langezaal +17 more
2024Open Research Europe20 citations Open access
Semantic Scholar
Expanding the applicability domain of QSPRs for predicting water solubility and vapor pressure of PFAS.
A. Sosnowska, M. Mudlaff, L. Gorb, N. Bulawska +4 more
2023Chemosphere19 citations Open access
Semantic Scholar
Towards the Application of Structure-Property Relationship Modeling in Materials Science: Predicting the Seebeck Coefficient for Ionic Liquid/Redox Couple Systems.
A. Sosnowska, Maciej Barycki, A. Gajewicz, Maciej Bobrowski +8 more
2016ChemPhysChem19 citations
Semantic Scholar
Multi-Objective Genetic Algorithm (MOGA) As a Feature Selecting Strategy in the Development of Ionic Liquids' Quantitative Toxicity-Toxicity Relationship Models
Maciej Barycki, A. Sosnowska, Karolina Jagiello, T. Puzyn
2018Journal of Chemical Information and Modeling18 citations
Semantic Scholar
CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials
Dimitrios Zouraris, Angelos Mavrogiorgis, A. Tsoumanis, L. A. Saarimäki +45 more
2024Computational and Structural Biotechnology Journal17 citations Open access
Semantic Scholar
HBM4EU Chromates Study: Urinary Metabolomics Study of Workers Exposed to Hexavalent Chromium
L. Kozłowska, T. Santonen, R. Duca, L. Godderis +12 more
2022Metabolites17 citations Open access
Semantic Scholar
Which structural features stand behind micelization of ionic liquids? Quantitative Structure-Property Relationship studies.
Maciej Barycki, A. Sosnowska, T. Puzyn
2017Journal of Colloid and Interface Science17 citations
Semantic Scholar
A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials
N. Jeliazkova, Eleonora Longhin, N. el Yamani, E. Rundén-Pran +34 more
2024Nature Protocols16 citations Open access
Semantic Scholar
A strategy towards the generation of testable adverse outcome pathways for nanomaterials.
S. Murugadoss, Ivana Vinković Vrček, B. Pem, Karolina Jagiello +9 more
2021ALTEX16 citations Open access
Semantic Scholar
PFAS (per- and polyfluorinated alkyl substances) as EDCs (endocrine-disrupting chemicals) - Identification of compounds with high potential to bind to selected terpenoids NHRs (nuclear hormone receptors).
N. Bulawska, A. Sosnowska, D. Kowalska, M. Stepnik +1 more
2024Chemosphere15 citations Open access
Semantic Scholar
Application of Two‐Way Hierarchical Cluster Analysis for the Identification of Similarities between the Individual Lipid Fractions of Lucilia sericata
M. Gołębiowski, A. Sosnowska, T. Puzyn, M. Boguś +3 more
2014Chemistry and Biodiversity15 citations
Semantic Scholar
Virtual screening in the design of ionic liquids as environmentally safe bactericides
E. Wyrzykowska, A. Rybińska-Fryca, A. Sosnowska, T. Puzyn
2019Green Chemistry13 citations
Semantic Scholar
Representation of the Structure—A Key Point of Building QSAR/QSPR Models for Ionic Liquids
A. Rybińska-Fryca, A. Sosnowska, T. Puzyn
2020Materials12 citations Open access
Semantic Scholar
Geometry optimization of steroid sulfatase inhibitors - the influence on the free binding energy with STS
Karolina Jagiello, A. Sosnowska, S. Kar, Sebastian Demkowicz +4 more
2017Structural Chemistry12 citations Open access
Semantic Scholar
ILPC: simple chemometric tool supporting the design of ionic liquids
Maciej Barycki, A. Sosnowska, M. Piotrowska, P. Urbaszek +3 more
2016Journal of Cheminformatics10 citations Open access
Semantic Scholar
AquaBoxIL – a computational tool for determining the environmental distribution profile of ionic liquids
Maciej Barycki, A. Sosnowska, T. Puzyn
20189 citations
Semantic Scholar
The Effects of Two Kinds of Dietary Interventions on Serum Metabolic Profiles in Haemodialysis Patients
L. Kozłowska, Karolina Jagiello, Krzesimir Ciura, A. Sosnowska +4 more
2023Biomolecules7 citations Open access
Semantic Scholar
Hybrid Machine Learning and Experimental Studies of Antiviral Potential of Ionic Liquids against P100, MS2, and Phi6
Szymon Zdybel, A. Sosnowska, D. Kowalska, Julia Sommer +4 more
2024Journal of Chemical Information and Modeling6 citations
Semantic Scholar
A new metric for long-range transport potential of chemicals.
T. Kawai, Karolina Jagiello, A. Sosnowska, Katarzyna Odziomek +4 more
2014Environmental Science and Technology6 citations
Semantic Scholar
Using AOP-Wiki to support the ecotoxicological risk assessment of nanomaterials: first steps in the development of novel Adverse Outcome Pathways
Karolina Jagiello, Beata Judzińska, A. Sosnowska, I. Lynch +2 more
2022Environmental Science: Nano5 citations
Semantic Scholar
Modification of biochar by iron containing adsorption centers as a method to enhance the remediation of perfluorooctanoic (PFOA) and (PFOS) acids from water and soil: a density functional theory study
L. Gorb, A. Sosnowska, N. Bulawska, D. Leszczyńska +2 more
2025Journal of Molecular Modeling4 citations Open access
Semantic Scholar
Linking nanomaterial-induced mitochondrial dysfunction to existing adverse outcome pathways for chemicals.
S. Murugadoss, Ivana Vinković Vrček, A. Schaffert, M. Paparella +12 more
2023ALTEX4 citations Open access
Semantic Scholar
Assessment of the application of selected metal-organic frameworks as advanced sorbents in passive extraction used in the monitoring of contaminants of emerging concern in surface waters.
K. Godlewska, A. Białk-Bielińska, P. Mazierski, Szymon Zdybel +6 more
2024Science of the Total Environment3 citations
Semantic Scholar
The Acid Strength of the Lewis‐Brønsted Superacids – A QSPR Study
A. Sosnowska, J. Brzeski, P. Skurski, T. Puzyn
2019Molecular Informatics3 citations
Semantic Scholar
Sex and Gender Dimensions in Hazard and Risk Assessment of Engineered Nanomaterials
Lucija Božičević, Karolina Jagiello, A. Sosnowska, M. Stepnik +10 more
2025Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology2 citations Open access
Semantic Scholar
Chemoinformatic Approach to Assess Toxicity of Ionic Liquids.
A. Sosnowska, A. Rybińska-Fryca, Maciej Barycki, Karolina Jagiello +1 more
2018Methods in molecular biology2 citations
Semantic Scholar
Toward In Silico NAMs Analysis of Thyroid Disruption Leading to Developmental NeurotoxicityA Collection of AOP-Anchored Computational Models
Beata Judzińska, W. Nisterenko, N. Bulawska, D. Kowalska +3 more
2026Chemical Research in Toxicology1 citations Open access
Semantic Scholar
The effect of different molecular descriptors on PFAS transport and sorption behaviour in saturated porous media
A. Obeid, T. Oudega, E. Saracevic, N. Devau +6 more
2026Journal of Hazardous Materials Advances1 citations Open access
Semantic Scholar
Implementation of the Grouping and Read-Across Approach for the Prediction of Nanomaterials Ecotoxicity
M. Gromelski, A. Rybińska-Fryca, M. Vijver, W. Peijnenburg +11 more
2022Social Science Research Network1 citations
Semantic Scholar
Comment on "Filling environmental data gaps with QSPR for ionic liquids: Modeling n-octanol/water coefficient".
A. Rybińska, A. Sosnowska, Monika Grzonkowska, Maciej Barycki +1 more
2017Journal of Hazardous Materials1 citations
Semantic Scholar
MOESM1 of ILPC: simple chemometric tool supporting the design of ionic liquids
Maciej Barycki, A. Sosnowska, M. Piotrowska, P. Urbaszek +3 more
20161 citations
Semantic Scholar
Computationally predicted persistence of micro- and nanoplastics: Decay of polyethylene terephthalate in neutral, acidic and alkaline media.
Szymon Zdybel, L. Gorb, M. Kalapus, A. Sosnowska +1 more
2026Journal of Hazardous Materials0 citations
Semantic Scholar
Adverse outcome pathway network-based approach for the evaluation of thyroid hormone system disruption for human health and environmental regulatory hazard assessment.
L. Vergauwen, S. Tait, Lola Bajard, N. Bulawska +14 more
2026Environment International0 citations Open access
Semantic Scholar
Can we integrate plasma protein binding data into IATA using new approach methodologies? A case study on bisphenol analogs.
Y. R. Singh, K. Greber, Szymon Zdybel, K. Bogusz +8 more
2026Chemico-Biological Interactions0 citations
Semantic Scholar
A practical decision-making approach for tiered in silico chemical hazard assessment based on the safe and sustainable by design framework.
Karolina Jagiello, Szymon Zdybel, A. Sosnowska, K. Kunikowska +7 more
2026Environment International0 citations Open access
Semantic Scholar

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