Natalia Sizochenko

935 total citations
38 papers, 712 citations indexed

About

Natalia Sizochenko is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Natalia Sizochenko has authored 38 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 16 papers in Materials Chemistry and 9 papers in Organic Chemistry. Recurrent topics in Natalia Sizochenko's work include Computational Drug Discovery Methods (20 papers), Nanoparticles: synthesis and applications (9 papers) and Machine Learning in Materials Science (6 papers). Natalia Sizochenko is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Nanoparticles: synthesis and applications (9 papers) and Machine Learning in Materials Science (6 papers). Natalia Sizochenko collaborates with scholars based in United States, Poland and Ukraine. Natalia Sizochenko's co-authors include Jerzy Leszczyński, Tomasz Puzyn, Bakhtiyor Rasulev, Agnieszka Gajewicz, Alicja Mikołajczyk, V. Е. Kuz’min, Andrey A. Toropov, Alla P. Toropova, Danuta Leszczyńska and Leonid Gorb and has published in prestigious journals such as The Journal of Physical Chemistry C, Nano Energy and Nanoscale.

In The Last Decade

Natalia Sizochenko

38 papers receiving 704 citations

Peers

Countries citing papers authored by Natalia Sizochenko

Since Specialization

Citations

This map shows the geographic impact of Natalia Sizochenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Natalia Sizochenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Sizochenko more than expected).

Fields of papers citing papers by Natalia Sizochenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Sizochenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Natalia Sizochenko. The network helps show where Natalia Sizochenko may publish in the future.

Co-authorship network of co-authors of Natalia Sizochenko

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Sizochenko. A scholar is included among the top collaborators of Natalia Sizochenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalia Sizochenko. Natalia Sizochenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants 2022 ·Molecules ·(unknown), (unknown), Natalia Sizochenko, (unknown), Wojciech Kołodziejczyk, Glake Hill, Julia Saloni	7
2	Using quasi-SMILES for the predictive modeling of the safety of 574 metal oxide nanoparticles measured in different experimental conditions 2021 ·Environmental Toxicology and Pharmacology ·Alla P. Toropova, Andrey A. Toropov, Jerzy Leszczyński, Natalia Sizochenko	20
3	Zeta potentials (ζ) of metal oxide nanoparticles: A meta-analysis of experimental data and a predictive neural networks modeling 2021 ·NanoImpact ·Natalia Sizochenko, Alicja Mikołajczyk, (unknown), Tomasz Puzyn, Jerzy Leszczyński	63
4	Predictive Modeling of Critical Temperatures in Superconducting Materials 2020 ·Molecules ·Natalia Sizochenko, Markus Hofmann	8
5	Advancement of predictive modeling of zeta potentials (ζ) in metal oxide nanoparticles with correlation intensity index (CII) 2020 ·Journal of Molecular Liquids ·Andrey A. Toropov, Natalia Sizochenko, Alla P. Toropova, Danuta Leszczyńska, Jerzy Leszczyński	15
6	Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniques 2019 ·Ecotoxicology and Environmental Safety ·Natalia Sizochenko, (unknown), Natalja Fjodorova, Bakhtiyor Rasulev, Jerzy Leszczyński	45
7	Rutin as promising drug for the treatment of Parkinson’s disease: an assessment of MAO-B inhibitory potential by docking, molecular dynamics and DFT studies 2019 ·Molecular Simulation ·Faizul Azam, (unknown), (unknown), (unknown), Danish Mahmood, Md Jamir Anwar, Shamshir Khan, Natalia Sizochenko, Giulio Poli, Tiziano Tuccinardi, Hamed I. Ali	38
8	Reply to the comment on “Causation or only correlation? Application of causal inference graphs for evaluating causality in nano-QSAR models” by D. A. Tasi, J. Csontos, B. Nagy, Z. Kónya and G. Tasi, Nanoscale, 2018, 10, C8NR02377H 2018 ·Nanoscale ·Natalia Sizochenko, Agnieszka Gajewicz, Jerzy Leszczyński, Tomasz Puzyn	3
9	QSPR modeling of optical rotation of amino acids using specific quantum chemical descriptors 2018 ·Journal of Molecular Modeling ·(unknown), Natalia Sizochenko, (unknown), Sergiy I. Okovytyy, (unknown), Jerzy Leszczyński	9
10	Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties 2018 ·Nanotoxicology ·(unknown), (unknown), Natalia Sizochenko, Bakhtiyor Rasulev, Jerzy Leszczyński, Emilio Benfenati	21
11	Chlorophenol sorption on multi-walled carbon nanotubes: DFT modeling and structure–property relationship analysis 2017 ·Journal of Molecular Modeling ·(unknown), Natalia Sizochenko, (unknown), Marek Gołębiowski, Danuta Leszczyńska, Jerzy Leszczyński	5
12	A quantum chemical based toxicity study of estimated reduction potential and hydrophobicity in series of nitroaromatic compounds 2017 ·SAR and QSAR in environmental research ·(unknown), Natalia Sizochenko, Liudmyla K. Sviatenko, Leonid Gorb, Jerzy Leszczyński	15
13	Evaluating the toxicity of TiO₂-based nanoparticles to Chinese hamster ovary cells and Escherichia coli: a complementary experimental and computational approach 2017 ·Beilstein Journal of Nanotechnology ·Alicja Mikołajczyk, Natalia Sizochenko, Ewa Mulkiewicz, Anna Malankowska, Michał Nischk, (unknown), Seishiro Hirano, Grzegorz Nowaczyk, Adriana Zaleska‐Medynska, Jerzy Leszczyński, Agnieszka Gajewicz, Tomasz Puzyn	29
14	Binding of Alkali Metal Ions with 1,3,5-Tri(phenyl)benzene and 1,3,5-Tri(naphthyl)benzene: The Effect of Phenyl and Naphthyl Ring Substitution on Cation−π Interactions Revealed by DFT Study 2017 ·The Journal of Physical Chemistry A ·Ali Mirchi, Natalia Sizochenko, T. C. Dinadayalane, Jerzy Leszczyński	4
15	A DFT-based QSAR study on inhibition of human dihydrofolate reductase 2016 ·Journal of Molecular Graphics and Modelling ·(unknown), Natalia Sizochenko, (unknown), Jerzy Leszczyński	20
16	Estimation of melting points of large set of persistent organic pollutants utilizing QSPR approach 2016 ·Journal of Molecular Modeling ·(unknown), Natalia Sizochenko, Bakhtiyor Rasulev, Jerzy Leszczyński	12
17	Efficacy of topological informational potentials for analysis of nonequivalent atoms in molecular graphs: the case of chiral fullerenes 2016 ·Journal of Mathematical Chemistry ·V. Е. Kuz’min, (unknown), (unknown), A. G. Artemenko, (unknown), (unknown), Natalia Sizochenko, Jerzy Leszczyński	1
18	Amino substituted nitrogen heterocycle ureas as kinase insert domain containing receptor (KDR) inhibitors: Performance of structure–activity relationship approaches 2015 ·Journal of Food and Drug Analysis ·(unknown), Natalia Sizochenko, Bakhtiyor Rasulev, Andrey A. Toropov, (unknown), (unknown), Danuta Leszczyńska, Jerzy Leszczyński	5
19	How the “Liquid Drop” Approach Could Be Efficiently Applied for Quantitative Structure–Property Relationship Modeling of Nanofluids 2015 ·The Journal of Physical Chemistry C ·Natalia Sizochenko, Karolina Jagiełło, Jerzy Leszczyński, Tomasz Puzyn	15
20	From basic physics to mechanisms of toxicity: the “liquid drop” approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles 2014 ·Nanoscale ·Natalia Sizochenko, Bakhtiyor Rasulev, Agnieszka Gajewicz, V. Е. Kuz’min, Tomasz Puzyn, Jerzy Leszczyński	84

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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