Natalia Onishchenko

1.9k total citations
32 papers, 1.4k citations indexed

About

Natalia Onishchenko is a scholar working on Molecular Biology, Biomaterials and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Natalia Onishchenko has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Biomaterials and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Natalia Onishchenko's work include Nanoparticle-Based Drug Delivery (11 papers), Mercury impact and mitigation studies (8 papers) and RNA Interference and Gene Delivery (7 papers). Natalia Onishchenko is often cited by papers focused on Nanoparticle-Based Drug Delivery (11 papers), Mercury impact and mitigation studies (8 papers) and RNA Interference and Gene Delivery (7 papers). Natalia Onishchenko collaborates with scholars based in Russia, Sweden and Italy. Natalia Onishchenko's co-authors include Sandra Ceccatelli, Marie Vahter, Stefan Spulber, Raj Bose, Anna Federica Castoldi, Carolina Johansson, Luigi Manzo, Е. Л. Водовозова, Nina N. Karpova and Eero Ċastrén and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Neurochemistry.

In The Last Decade

Natalia Onishchenko

30 papers receiving 1.3k citations

Peers

Natalia Onishchenko
Natalia Onishchenko
Citations per year, relative to Natalia Onishchenko Natalia Onishchenko (= 1×) peers Megumi Yamamoto

Countries citing papers authored by Natalia Onishchenko

Since Specialization
Citations

This map shows the geographic impact of Natalia Onishchenko'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 Onishchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Onishchenko more than expected).

Fields of papers citing papers by Natalia Onishchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Onishchenko. 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 Onishchenko. The network helps show where Natalia Onishchenko may publish in the future.

Co-authorship network of co-authors of Natalia Onishchenko

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Onishchenko. A scholar is included among the top collaborators of Natalia Onishchenko 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 Onishchenko. Natalia Onishchenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shchegravina, Ekaterina S., С. В. Хайдуков, Anna Alekseeva, et al.. (2025). Plasma protein corona of liposomes loaded with a phospholipid–allocolchicinoid conjugate enhances their anti-inflammatory potential. Colloids and Surfaces B Biointerfaces. 253. 114746–114746. 1 indexed citations
2.
Alekseeva, Anna, Ivan Boldyrev, С. В. Хайдуков, et al.. (2023). Protein Corona of Anionic Fluid-Phase Liposomes Compromises Their Integrity Rather than Uptake by Cells. Membranes. 13(7). 681–681. 6 indexed citations
3.
Onishchenko, Natalia, Anna Alekseeva, Ivan Boldyrev, et al.. (2023). Protein Corona Attenuates the Targeting of Antitumor Sialyl Lewis X-Decorated Liposomes to Vascular Endothelial Cells under Flow Conditions. Pharmaceutics. 15(6). 1754–1754. 2 indexed citations
4.
Onishchenko, Natalia, N. S. Egorova, Daria V. Vasina, et al.. (2022). Proof-of-Concept Study of Liposomes with a Set of SARS-CoV-2 Viral Peptidic T-Cell Epitopes as a Vaccine. Russian Journal of Bioorganic Chemistry. 48(S1). S23–S37. 1 indexed citations
5.
6.
Onishchenko, Natalia, et al.. (2021). Spotlight on the protein corona of liposomes. Acta Biomaterialia. 134. 57–78. 62 indexed citations
7.
Хайдуков, С. В., et al.. (2020). Lipophilic prodrug of methotrexate in the membrane of liposomes promotes their uptake by human blood phagocytes. Acta Naturae. 12(1). 99–109. 10 indexed citations
8.
Onishchenko, Natalia, Ivan Boldyrev, Ilya Mikhalyov, et al.. (2018). Influence of stabilizing components on the integrity of antitumor liposomes loaded with lipophilic prodrug in the bilayer. Colloids and Surfaces B Biointerfaces. 166. 45–53. 26 indexed citations
9.
Alekseeva, Anna, Е. В. Моисеева, Natalia Onishchenko, et al.. (2017). Liposomal formulation of a methotrexate lipophilic prodrug: assessment in tumor cells and mouse T-cell leukemic lymphoma. International Journal of Nanomedicine. Volume 12. 3735–3749. 29 indexed citations
10.
Spulber, Stefan, Mirko Conti, Marilena Raciti, et al.. (2015). Alterations in circadian entrainment precede the onset of depression-like behavior that does not respond to fluoxetine. Translational Psychiatry. 5(7). e603–e603. 22 indexed citations
11.
Karpova, Nina N., Jesse Lindholm, Natalia Kulesskaya, et al.. (2014). TrkB overexpression in mice buffers against memory deficits and depression-like behavior but not all anxiety- and stress-related symptoms induced by developmental exposure to methylmercury. Frontiers in Behavioral Neuroscience. 8. 315–315. 19 indexed citations
12.
Ibrahim, Wan Norhamidah Wan, Roshan Tofighi, Natalia Onishchenko, et al.. (2013). Perfluorooctane sulfonate induces neuronal and oligodendrocytic differentiation in neural stem cells and alters the expression of PPARγ in vitro and in vivo. Toxicology and Applied Pharmacology. 269(1). 51–60. 49 indexed citations
13.
Sim, Sarah C., et al.. (2013). Decreased hippocampal volume and increased anxiety in a transgenic mouse model expressing the human CYP2C19 gene. Molecular Psychiatry. 19(6). 733–741. 46 indexed citations
14.
Bose, Raj, et al.. (2012). Inherited Effects of Low-Dose Exposure to Methylmercury in Neural Stem Cells. Toxicological Sciences. 130(2). 383–390. 88 indexed citations
15.
Onishchenko, Natalia, Celia Fischer, Wan Norhamidah Wan Ibrahim, et al.. (2010). Prenatal Exposure to PFOS or PFOA Alters Motor Function in Mice in a Sex-Related Manner. Neurotoxicity Research. 19(3). 452–461. 120 indexed citations
16.
Onishchenko, Natalia, Nina N. Karpova, Farideh Sabri, Eero Ċastrén, & Sandra Ceccatelli. (2008). Long‐lasting depression‐like behavior and epigenetic changes of BDNF gene expression induced by perinatal exposure to methylmercury. Journal of Neurochemistry. 106(3). 1378–1387. 180 indexed citations
17.
Castoldi, Anna Federica, Carolina Johansson, Natalia Onishchenko, et al.. (2008). Human developmental neurotoxicity of methylmercury: Impact of variables and risk modifiers. Regulatory Toxicology and Pharmacology. 51(2). 201–214. 97 indexed citations
18.
Castoldi, Anna Federica, Natalia Onishchenko, Carolina Johansson, et al.. (2008). Neurodevelopmental toxicity of methylmercury: Laboratory animal data and their contribution to human risk assessment. Regulatory Toxicology and Pharmacology. 51(2). 215–229. 79 indexed citations
19.
Johansson, Carolina, Anna Federica Castoldi, Natalia Onishchenko, et al.. (2007). Neurobehavioural and molecular changes induced by methylmercury exposure during development. Neurotoxicity Research. 11(3-4). 241–260. 128 indexed citations
20.
Onishchenko, Natalia, Christoffer Tamm, Marie Vahter, et al.. (2007). Developmental Exposure to Methylmercury Alters Learning and Induces Depression-like Behavior in Male Mice. Toxicological Sciences. 97(2). 428–437. 135 indexed citations

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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