А. В. Понасенко

642 total citations
82 papers, 426 citations indexed

About

А. В. Понасенко is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, А. В. Понасенко has authored 82 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 27 papers in Immunology and 26 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in А. В. Понасенко's work include Infective Endocarditis Diagnosis and Management (10 papers), Cardiovascular Disease and Adiposity (9 papers) and Inflammasome and immune disorders (9 papers). А. В. Понасенко is often cited by papers focused on Infective Endocarditis Diagnosis and Management (10 papers), Cardiovascular Disease and Adiposity (9 papers) and Inflammasome and immune disorders (9 papers). А. В. Понасенко collaborates with scholars based in Russia, United Kingdom and United States. А. В. Понасенко's co-authors include Anton G. Kutikhin, Arseniy E. Yuzhalin, Maxim Sinitsky, А. С. Головкин, О. Л. Барбараш, Л. С. Барбараш, В. И. Минина, Alexander Prosekov, Victor V. Atuchin∥⊥ and О. В. Груздева and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and International Journal of Molecular Sciences.

In The Last Decade

А. В. Понасенко

57 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. В. Понасенко Russia 11 118 109 107 91 89 82 426
Chenling Yao China 14 123 1.0× 111 1.0× 100 0.9× 129 1.4× 53 0.6× 34 475
Georgios Antonakos Greece 12 70 0.6× 141 1.3× 38 0.4× 89 1.0× 52 0.6× 27 413
Oruganti Sai Satish India 6 92 0.8× 87 0.8× 75 0.7× 129 1.4× 35 0.4× 30 411
Valentina Nikolić Serbia 14 82 0.7× 55 0.5× 116 1.1× 84 0.9× 53 0.6× 56 470
Rocío García de la Garza Spain 8 61 0.5× 83 0.8× 31 0.3× 104 1.1× 88 1.0× 14 461
Xinwen Yu China 10 62 0.5× 71 0.7× 142 1.3× 167 1.8× 41 0.5× 31 475
Ndeye Coumba Ndiaye France 15 77 0.7× 78 0.7× 60 0.6× 175 1.9× 50 0.6× 35 555
Ryan J. Stark United States 13 183 1.6× 74 0.7× 36 0.3× 115 1.3× 29 0.3× 32 404
Nobuhiro Akuzawa Japan 11 23 0.2× 61 0.6× 81 0.8× 117 1.3× 112 1.3× 29 412

Countries citing papers authored by А. В. Понасенко

Since Specialization
Citations

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

Fields of papers citing papers by А. В. Понасенко

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by А. В. Понасенко. 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 А. В. Понасенко. The network helps show where А. В. Понасенко may publish in the future.

Co-authorship network of co-authors of А. В. Понасенко

This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Понасенко. A scholar is included among the top collaborators of А. В. Понасенко 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 А. В. Понасенко. А. В. Понасенко 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
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Belik, E. V., et al.. (2024). LEPR isoform expression changes in local fat depots in coronary atherosclerosis and acquired heart defects. SHILAP Revista de lepidopterología. 29(8). 5826–5826.
3.
Kudryavtseva, Yu. А., K. Yu. Klyshnikov, Л. В. Антонова, et al.. (2024). BIOLOGICAL PROSTHESES FOR CARDIOVASCULAR SURGERY – A HALF-CENTURY HISTORY AND DEVELOPMENT PROSPECTS. Complex Issues of Cardiovascular Diseases. 13(1). 196–210.
4.
Понасенко, А. В., et al.. (2024). RELATIONSHIP BETWEEN TELOMERE LENGTH AND MARKERS OF INFLAMMATION IN THE PRE- AND POSTOPERATIVE PERIOD OF PATIENTS WITH CORONARY ARTERY DISEASE. Complex Issues of Cardiovascular Diseases. 13(3). 28–36.
5.
Sinitsky, Maxim, et al.. (2024). Associations of TLR gene polymorphism with the risk of rheumatic heart disease. SHILAP Revista de lepidopterología. 43(6). 177–184. 1 indexed citations
6.
Понасенко, А. В., et al.. (2024). Inflammatory Response Genes’ Polymorphism Associated with Risk of Rheumatic Heart Disease. Journal of Personalized Medicine. 14(7). 753–753.
7.
Понасенко, А. В., et al.. (2023). Cardiovascular risk personification: focus on the natriuretic peptide system. 19(2). 131–139.
8.
Груздева, О. В., Yu. A. Dyleva, E. V. Belik, et al.. (2023). Expression of Ceramide-Metabolizing Enzymes in the Heart Adipose Tissue of Cardiovascular Disease Patients. International Journal of Molecular Sciences. 24(11). 9494–9494. 8 indexed citations
9.
Sinitsky, Maxim, et al.. (2023). Gene expression of proinflammatory cytokines in human coronary artery smooth muscle cells exposed to alkylating mutagen. Complex Issues of Cardiovascular Diseases. 11(4). 158–166.
10.
Груздева, О. В., Yu. A. Dyleva, E. V. Belik, et al.. (2022). Comparative evaluation of the expression of enzymes of the ceramide <i>de novo</i> synthesis pathway in cardiac adipose tissue and blood vessels of cardiovascular patients. SHILAP Revista de lepidopterología. 27(12). 5281–5281.
11.
Чумакова, Г. А., et al.. (2022). Some molecular genetic risk factors for myocardial fibrosis (Literature review). Siberian Journal of Clinical and Experimental Medicine. 37(3). 56–64. 2 indexed citations
12.
Чумакова, Г. А., et al.. (2022). Profibrotic genetic polymorphisms as possible risk factors for the development of diastolic dysfunction in patients with epicardial adiposity. SHILAP Revista de lepidopterología. 27(10). 5208–5208. 1 indexed citations
13.
Grigoryev, E. V., et al.. (2022). The level of microRNA expression in cardiac surgery patients depends on postoperative multiorgan failure. SHILAP Revista de lepidopterología.
14.
Понасенко, А. В., et al.. (2020). Interleukin 18 levels in patients with stable coronary artery disease is associated with IL18RAP and IL18R1 gene polymorphism and the risk of myocardial infarction. SHILAP Revista de lepidopterología. 25(10). 3977–3977. 2 indexed citations
15.
Sinitsky, Maxim, Yu. A. Dyleva, Е. Г. Учасова, et al.. (2019). Adipokine gene expression in adipocytes isolated from different fat depots of coronary artery disease patients. Archives of Physiology and Biochemistry. 128(1). 261–269. 7 indexed citations
16.
17.
Kutikhin, Anton G., А. В. Понасенко, Arseniy E. Yuzhalin, et al.. (2016). Association of TLR and TREM-1 gene polymorphisms with atherosclerosis severity in a Russian population. Meta Gene. 9. 76–89. 39 indexed citations
18.
Понасенко, А. В., et al.. (2015). FREQUENCY DISTRIBUTION OF INTRONIC POLYMORPHISMS OF IL1-raVNTR AND IL-4VNTR IN RHEUMATIC MITRAL VALVE DISEASE IN CAUCASIAN POPULATION OF SIBERIA. SHILAP Revista de lepidopterología. 17(2). 151–151. 3 indexed citations
19.
20.
Головкин, А. С., А. В. Понасенко, Anton G. Kutikhin, et al.. (2014). Association of TLR and TREM-1 gene polymorphisms with risk of coronary artery disease in a Russian population. Gene. 550(1). 101–109. 42 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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