Elena Chepurko

2.2k total citations · 1 hit paper
31 papers, 1.4k citations indexed

About

Elena Chepurko is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Elena Chepurko has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 8 papers in Surgery. Recurrent topics in Elena Chepurko's work include Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (8 papers) and Congenital heart defects research (6 papers). Elena Chepurko is often cited by papers focused on Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (8 papers) and Congenital heart defects research (6 papers). Elena Chepurko collaborates with scholars based in United States, China and Australia. Elena Chepurko's co-authors include Roger J. Hajjar, Lior Zangi, Yassine Sassi, Ajit Magadum, Mohammad Tofael Kabir Sharkar, Neha Singh, Ran Oren, Sigal Fishman, Isabel Zvibel and Amir Shlomai and has published in prestigious journals such as Circulation, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Elena Chepurko

28 papers receiving 1.4k citations

Hit Papers

FTO-Dependent N 6 -Methyladenosine Regulates Cardiac Func... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Elena Chepurko
Sudeshna Fisch United States
John Yang United States
Vivek Sivaraman United Kingdom
Ellen Dirkx Netherlands
Jia Shi China
Mouer Wang United States
Elena Chepurko
Citations per year, relative to Elena Chepurko Elena Chepurko (= 1×) peers Haoxiao Zheng

Countries citing papers authored by Elena Chepurko

Since Specialization
Citations

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

Fields of papers citing papers by Elena Chepurko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Chepurko

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Chepurko. A scholar is included among the top collaborators of Elena Chepurko 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 Elena Chepurko. Elena Chepurko 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.
Chepurko, Elena, et al.. (2025). Vitamin A deficiency and male-specific effects on heart function in mice. Biochemical and Biophysical Research Communications. 748. 151300–151300. 1 indexed citations
2.
Chepurko, Elena, et al.. (2025). Human myocardial-derived highly proliferative cells improve cardiac remodeling after myocardial infarction in mice. Journal of Pharmacology and Experimental Therapeutics. 392(9). 103673–103673.
3.
Magadum, Ajit, Jiacheng Sun, Neha Singh, et al.. (2024). Lin28a cardiomyocyte-specific modified mRNA translation system induces cardiomyocyte cell division and cardiac repair. Journal of Molecular and Cellular Cardiology. 188. 61–64. 4 indexed citations
4.
Chepurko, Elena, Christine Lord, S. Yu. Tsibulnikov, et al.. (2024). Delayed CCL23 response is associated with poor outcomes after cardiac arrest. Cytokine. 176. 156536–156536.
5.
Bisserier, Malik, Mary K. Khlgatian, Steve R. Blattnig, et al.. (2023). Lifetime Evaluation of Left Ventricular Structure and Function in Male C57BL/6J Mice after Gamma and Space-Type Radiation Exposure. International Journal of Molecular Sciences. 24(6). 5451–5451. 7 indexed citations
6.
Bisserier, Malik, Mary K. Khlgatian, Steve R. Blattnig, et al.. (2023). Lifetime evaluation of left ventricular structure and function in male ApoE null mice after gamma and space-type radiation exposure. Frontiers in Physiology. 14. 1292033–1292033. 5 indexed citations
7.
Kaur, Keerat, Nishat Sultana, Ajit Magadum, et al.. (2020). Delivery of Modified mRNA in a Myocardial Infarction Mouse Model. Journal of Visualized Experiments. 3 indexed citations
8.
Sultana, Nishat, Yoav Hadas, Mohammad Tofael Kabir Sharkar, et al.. (2020). Optimization of 5′ Untranslated Region of Modified mRNA for Use in Cardiac or Hepatic Ischemic Injury. Molecular Therapy — Methods & Clinical Development. 17. 622–633. 31 indexed citations
9.
Kaur, Keerat, Nishat Sultana, Yoav Hadas, et al.. (2020). Delivery of Modified mRNA in a Myocardial Infarction Mouse Model. Journal of Visualized Experiments. 6 indexed citations
10.
Sultana, Nishat, Mohammad Tofael Kabir Sharkar, Yoav Hadas, Elena Chepurko, & Lior Zangi. (2020). In Vitro Synthesis of Modified RNA for Cardiac Gene Therapy. Methods in molecular biology. 2158. 281–294. 10 indexed citations
11.
Katz, Michael G., Anthony S. Fargnoli, Sarah M Gubara, et al.. (2019). Surgical and physiological challenges in the development of left and right heart failure in rat models. Heart Failure Reviews. 24(5). 759–777. 13 indexed citations
12.
Hadas, Yoav, Nishat Sultana, Mohammad Tofael Kabir Sharkar, et al.. (2019). Optimizing Modified mRNA In Vitro Synthesis Protocol for Heart Gene Therapy. Molecular Therapy — Methods & Clinical Development. 14. 300–305. 33 indexed citations
13.
Bisserier, Malik, Javier Milara, Sarah M Gubara, et al.. (2019). AAV1.SERCA2a Gene Therapy Reverses Pulmonary Fibrosis by Blocking the STAT3/FOXM1 Pathway and Promoting the SNON/SKI Axis. Molecular Therapy. 28(2). 394–410. 33 indexed citations
14.
Magadum, Ajit, Neha Singh, Ann Kurian, et al.. (2018). Ablation of a Single N-Glycosylation Site in Human FSTL 1 Induces Cardiomyocyte Proliferation and Cardiac Regeneration. Molecular Therapy — Nucleic Acids. 13. 133–143. 58 indexed citations
15.
Adamiak, Mateusz, Yaxuan Liang, Prabhu Mathiyalagan, et al.. (2018). Abstract 104: AAV-Exosomes: A Novel Platform for Myocardial Gene Delivery for Cardioprotection. Circulation Research. 123(Suppl_1). 1 indexed citations
16.
Liang, Yaxuan, Prabhu Mathiyalagan, Erik Kohlbrenner, et al.. (2017). Abstract 15439: AAV-Containing Exosomes as a Novel Vector to Improve AAV-Mediated Myocardial Gene Delivery in Resistance to Neutralizing Antibody. Circulation. 5 indexed citations
17.
Sultana, Nishat, Ajit Magadum, Yoav Hadas, et al.. (2017). Optimizing Cardiac Delivery of Modified mRNA. Molecular Therapy. 25(6). 1306–1315. 86 indexed citations
18.
Novitskaya, Tatiana, Elena Chepurko, Roman Covarrubias, et al.. (2016). Extracellular nucleotide regulation and signaling in cardiac fibrosis. Journal of Molecular and Cellular Cardiology. 93. 47–56. 19 indexed citations
19.
Smith, Stephen B., Zhaobin Xu, Tatiana Novitskaya, et al.. (2016). Impact of cardiac-specific expression of CD39 on myocardial infarct size in mice. Life Sciences. 179. 54–59. 11 indexed citations
20.
Covarrubias, Roman, Elena Chepurko, Debra G. Wheeler, et al.. (2016). Role of the CD39/CD73 Purinergic Pathway in Modulating Arterial Thrombosis in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 36(9). 1809–1820. 35 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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