Olena Oliyarnyk

1.6k total citations
48 papers, 1.0k citations indexed

About

Olena Oliyarnyk is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Olena Oliyarnyk has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 18 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Olena Oliyarnyk's work include Diet and metabolism studies (11 papers), Adipose Tissue and Metabolism (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). Olena Oliyarnyk is often cited by papers focused on Diet and metabolism studies (11 papers), Adipose Tissue and Metabolism (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). Olena Oliyarnyk collaborates with scholars based in Czechia, United States and Italy. Olena Oliyarnyk's co-authors include Ludmila Kazdová, Hana Malínská, Michal Pravenec, Václav Zı́dek, Petr Mlejnek, Theodore W. Kurtz, Martina Hüttl, Jan Šilhavý, W. Waldhäusl and Mark S. Pasternack and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Olena Oliyarnyk

48 papers receiving 981 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Olena Oliyarnyk Czechia 18 367 253 177 146 144 48 1.0k
Remise Gelışgen Türkiye 19 296 0.8× 248 1.0× 141 0.8× 119 0.8× 134 0.9× 77 1.1k
Savaş Güzel Türkiye 19 284 0.8× 201 0.8× 162 0.9× 125 0.9× 113 0.8× 73 1.2k
Dan Liao China 21 405 1.1× 196 0.8× 123 0.7× 136 0.9× 140 1.0× 55 1.4k
Yau-Sheng Tsai Taiwan 23 770 2.1× 333 1.3× 250 1.4× 207 1.4× 127 0.9× 45 1.5k
Tatjana Jevtović−Stoimenov Serbia 18 386 1.1× 154 0.6× 76 0.4× 148 1.0× 135 0.9× 132 1.3k
Francesca Iannantuoni Spain 15 497 1.4× 229 0.9× 185 1.0× 191 1.3× 300 2.1× 23 1.2k
Sergio Rius‐Pérez Spain 16 554 1.5× 315 1.2× 188 1.1× 187 1.3× 83 0.6× 24 1.4k
Pınar Atukeren Türkiye 20 319 0.9× 282 1.1× 87 0.5× 168 1.2× 82 0.6× 60 1.2k
Tiziana Rollo Italy 12 291 0.8× 253 1.0× 367 2.1× 108 0.7× 148 1.0× 17 1.0k
Philippe Thuillier France 23 767 2.1× 226 0.9× 213 1.2× 164 1.1× 149 1.0× 70 1.5k

Countries citing papers authored by Olena Oliyarnyk

Since Specialization
Citations

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

Fields of papers citing papers by Olena Oliyarnyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olena Oliyarnyk

This figure shows the co-authorship network connecting the top 25 collaborators of Olena Oliyarnyk. A scholar is included among the top collaborators of Olena Oliyarnyk 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 Olena Oliyarnyk. Olena Oliyarnyk 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.
Kazdová, Ludmila, Martina Hüttl, Hana Malínská, et al.. (2025). Beneficial Effect of Fenofibrate in Combination with Silymarin on Parameters of Hereditary Hypertriglyceridemia-Induced Disorders in an Animal Model of Metabolic Syndrome. Biomedicines. 13(1). 212–212. 1 indexed citations
3.
Hüttl, Martina, Irena Marková, Olena Oliyarnyk, et al.. (2020). Metabolic cardio- and reno-protective effects of empagliflozin in a prediabetic rat model.. PubMed. 71(5). 7 indexed citations
4.
Heczková, Marie, František Novák, Olga Nováková, et al.. (2020). The ω-3 Polyunsaturated Fatty Acids and Oxidative Stress in Long-Term Parenteral Nutrition Dependent Adult Patients: Functional Lipidomics Approach. Nutrients. 12(8). 2351–2351. 10 indexed citations
5.
Marková, Irena, Hana Malínská, Martina Hüttl, et al.. (2020). Cerium Oxide-Decorated γ-Fe2O3 Nanoparticles: Design, Synthesis and in vivo Effects on Parameters of Oxidative Stress. Frontiers in Chemistry. 8. 682–682. 22 indexed citations
6.
Poruba, Martin, Pavel Anzenbacher, Olena Oliyarnyk, et al.. (2019). The Effect of Combined Diet Containing n-3 Polyunsaturated Fatty Acids and Silymarin on Metabolic Syndrome in Rats. Physiological Research. 68(Suppl 1). S39–S50. 9 indexed citations
7.
Poruba, Martin, Martina Hüttl, Hana Malínská, et al.. (2019). Fenofibrate Decreases Hepatic P-Glycoprotein in a Rat Model of Hereditary Hypertriglyceridemia. Frontiers in Pharmacology. 10. 56–56. 7 indexed citations
8.
Marková, Irena, Martina Hüttl, Olena Oliyarnyk, et al.. (2019). The effect of dicarbonyl stress on the development of kidney dysfunction in metabolic syndrome – a transcriptomic and proteomic approach. Nutrition & Metabolism. 16(1). 51–51. 11 indexed citations
9.
Šilhavý, Jan, Jakub Krijt, Jitka Sokolová, et al.. (2018). Dissecting the Role of Folr1 and Folh1 Genes in the Pathogenesis of Metabolic Syndrome in Spontaneously Hypertensive Rats. Physiological Research. 67(4). 657–662. 5 indexed citations
11.
Trnovská, Jaroslava, Jan Šilhavý, Václav Zı́dek, et al.. (2015). Gender-Related Effects on Substrate Utilization and Metabolic Adaptation in Hairless Spontaneously Hypertensive Rat. Physiological Research. 64(1). 51–60. 6 indexed citations
12.
Poruba, Martin, et al.. (2015). Positive Effects of Different Drug Forms of Silybin in the Treatment of Metabolic Syndrome. Physiological Research. 64(Suppl 4). S507–S512. 14 indexed citations
13.
Malínská, Hana, Hana Kahleová, Ondřej Topolčan, et al.. (2014). Postprandial Oxidative Stress and Gastrointestinal Hormones: Is There a Link?. PLoS ONE. 9(8). e103565–e103565. 5 indexed citations
15.
Pravenec, Michal, Jan Šilhavý, Václav Zı́dek, et al.. (2014). Fumaric acid esters can block pro-inflammatory actions of human CRP and ameliorate metabolic disturbances in transgenic spontaneously hypertensive rats. Atherosclerosis. 235(2). e268–e268. 5 indexed citations
16.
Šilhavý, Jan, Václav Zı́dek, V. Landa, et al.. (2014). Rosuvastatin can block pro-inflammatory actions of transgenic human CRP without reducing its circulating levels. MDC Repository (Max-Delbrueck-Center for Molecular Medicine). 3 indexed citations
18.
Pravenec, Michal, Viktor Kožich, Jakub Krijt, et al.. (2012). Folate Deficiency Is Associated With Oxidative Stress, Increased Blood Pressure, and Insulin Resistance in Spontaneously Hypertensive Rats. American Journal of Hypertension. 26(1). 135–140. 78 indexed citations
19.
Malínská, Hana, Olena Oliyarnyk, Václav Zı́dek, et al.. (2009). Increased liver oxidative stress and altered PUFA metabolism precede development of non-alcoholic steatohepatitis in SREBP-1a transgenic spontaneously hypertensive rats with genetic predisposition to hepatic steatosis. Molecular and Cellular Biochemistry. 335(1-2). 119–125. 28 indexed citations
20.
Oliyarnyk, Olena, Wilfried Renner, Bernhard Paulweber, & Thomas C. Wascher. (2005). Interindividual Differences of Response to Statin Treatment Cannot Be Explained by Variations of the Human Gene for RhoA. Biochemical Genetics. 43(3-4). 143–148. 3 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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