Olga Fedorenko

1.3k total citations
64 papers, 877 citations indexed

About

Olga Fedorenko is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Olga Fedorenko has authored 64 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 16 papers in Psychiatry and Mental health. Recurrent topics in Olga Fedorenko's work include Schizophrenia research and treatment (14 papers), Ion channel regulation and function (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). Olga Fedorenko is often cited by papers focused on Schizophrenia research and treatment (14 papers), Ion channel regulation and function (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). Olga Fedorenko collaborates with scholars based in Russia, Netherlands and United Kingdom. Olga Fedorenko's co-authors include Svetlana А. Ivanova, A. Semke, A.J.M. Loonen, Н. А. Бохан, Bob Wilffert, Florian Läng, Elena G. Kornetova, Ivan V. Pozhidaev, Maxim B. Freidin and J. R. B. J. Brouwers and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Kidney International.

In The Last Decade

Olga Fedorenko

59 papers receiving 854 citations

Peers

Olga Fedorenko
A. Semke Russia
Elena Isaeva United States
Luisa P. Cacheaux United States
José Marques-Lopes United States
Kelly A. Aromolaran United States
A. Semke Russia
Olga Fedorenko
Citations per year, relative to Olga Fedorenko Olga Fedorenko (= 1×) peers A. Semke

Countries citing papers authored by Olga Fedorenko

Since Specialization
Citations

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

Fields of papers citing papers by Olga Fedorenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Fedorenko

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Fedorenko. A scholar is included among the top collaborators of Olga Fedorenko 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 Olga Fedorenko. Olga Fedorenko 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.
Mednova, Irina A., Ivan V. Pozhidaev, А. В. Бочарова, et al.. (2024). NOS1AP Gene Variants and Their Role in Metabolic Syndrome: A Study of Patients with Schizophrenia. Biomedicines. 12(3). 627–627. 2 indexed citations
2.
Fedorenko, Olga, et al.. (2023). Development of the composition of matte glaze with usage of pharmaceutical glass waste for the production of porcelain stoneware. Voprosy Khimii i Khimicheskoi Tekhnologii. 123–134.
3.
Kornetova, Elena G., Maxim B. Freidin, Ivan V. Pozhidaev, et al.. (2023). The Role of Glutamatergic Gene Polymorphisms in the Clinical Phenotypes of Schizophrenia. Genes. 14(3). 575–575. 4 indexed citations
4.
Levchenko, Аnastasia, et al.. (2023). Pilot Study to Detect the Repertoires of T-Cell Receptor Gamma Chains in Patients with Juvenile Schizophrenia. Russian Journal of Genetics. 59(7). 739–743. 1 indexed citations
5.
Boiko, Anastasiia S., Ivan V. Pozhidaev, Irina A. Mednova, et al.. (2022). Gene Polymorphisms of Hormonal Regulators of Metabolism in Patients with Schizophrenia with Metabolic Syndrome. Genes. 13(5). 844–844. 5 indexed citations
6.
Boiko, Anastasiia S., Ivan V. Pozhidaev, Irina A. Mednova, et al.. (2022). The Gender-Specific Association of DRD2 Polymorphism with Metabolic Syndrome in Patients with Schizophrenia. Genes. 13(8). 1312–1312. 7 indexed citations
7.
Fedorenko, Olga, Elena G. Kornetova, Ivan V. Pozhidaev, et al.. (2022). Genes of the Glutamatergic System and Tardive Dyskinesia in Patients with Schizophrenia. Diagnostics. 12(7). 1521–1521. 4 indexed citations
8.
Fedorenko, Olga, et al.. (2021). Study of Early Onset Schizophrenia: Associations of GRIN2A and GRIN2B Polymorphisms. Life. 11(10). 997–997. 20 indexed citations
9.
Boiko, Anastasiia S., Ivan V. Pozhidaev, А. В. Бочарова, et al.. (2021). Search for Possible Associations of FTO Gene Polymorphic Variants with Metabolic Syndrome, Obesity and Body Mass Index in Schizophrenia Patients. Pharmacogenomics and Personalized Medicine. Volume 14. 1123–1131. 11 indexed citations
10.
Fedorenko, Olga, et al.. (2021). Association of PIP4K2A Polymorphisms with Alcohol Use Disorder. Genes. 12(10). 1642–1642. 2 indexed citations
11.
Boiko, Anastasiia S., Ivan V. Pozhidaev, А. В. Бочарова, et al.. (2021). Genetic Polymorphisms of 5-HT Receptors and Antipsychotic-Induced Metabolic Dysfunction in Patients with Schizophrenia. Journal of Personalized Medicine. 11(3). 181–181. 12 indexed citations
12.
Fedorenko, Olga, A.J.M. Loonen, Ivan V. Pozhidaev, et al.. (2020). Association of ANKK1 polymorphism with antipsychotic‐induced hyperprolactinemia. Human Psychopharmacology Clinical and Experimental. 35(4). e2737–e2737. 3 indexed citations
13.
Pozhidaev, Ivan V., Anastasiia S. Boiko, A.J.M. Loonen, et al.. (2020). <p>Association of Cholinergic Muscarinic M4 Receptor Gene Polymorphism with Schizophrenia</p>. The Application of Clinical Genetics. Volume 13. 97–105. 11 indexed citations
14.
Fedorenko, Olga, et al.. (2019). Low-melting glass-ceramic bonds based on oxide compositions for diamond-abrasive tools. Voprosy Khimii i Khimicheskoi Tekhnologii. 158–165. 1 indexed citations
15.
Fedorenko, Olga, et al.. (2019). Stress hormones in men whose professional activities are either office-based or of an extreme emergency nature. Yakut Medical Journal. 20–22. 1 indexed citations
16.
Ivanova, Svetlana А., В. М. Алифирова, Ivan V. Pozhidaev, et al.. (2018). Polymorphisms of Catechol-O-Methyl Transferase (COMT) Gene in Vulnerability to Levodopa-Induced Dyskinesia. Journal of Pharmacy & Pharmaceutical Sciences. 21(1). 340–346. 10 indexed citations
17.
Fedorenko, Olga, A.J.M. Loonen, Anastasiia S. Boiko, et al.. (2017). Hyperprolactinemia and CYP2D6, DRD2 and HTR2C genes polymorphism in patients with schizophrenia. Research Portal (King's College London). 21(1). 25–33. 8 indexed citations
18.
Ivanova, Svetlana А., A.F.Y. Al Hadithy, Petros Pechlivanoglou, et al.. (2014). Dehydroepiandrosterone sulphate as a putative protective factor against tardive dyskinesia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 50. 172–177. 7 indexed citations
19.
Fedorenko, Olga, A.J.M. Loonen, A. Semke, et al.. (2014). Association Study Indicates a Protective Role of Phosphatidylinositol-4-Phosphate-5-Kinase against Tardive Dyskinesia. The International Journal of Neuropsychopharmacology. 18(6). pyu098–pyu098. 26 indexed citations
20.
Hadithy, A.F.Y. Al, Svetlana А. Ivanova, Petros Pechlivanoglou, et al.. (2009). Missense polymorphisms in three oxidative‐stress enzymes (GSTP1, SOD2, and GPX1) and dyskinesias in Russian psychiatric inpatients from Siberia. Human Psychopharmacology Clinical and Experimental. 25(1). 84–91. 33 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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