Nataliya Petrenko

2.0k total citations
17 papers, 1.1k citations indexed

About

Nataliya Petrenko is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Sensory Systems. According to data from OpenAlex, Nataliya Petrenko has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 4 papers in Sensory Systems. Recurrent topics in Nataliya Petrenko's work include Congenital heart defects research (6 papers), Ion channel regulation and function (4 papers) and Receptor Mechanisms and Signaling (4 papers). Nataliya Petrenko is often cited by papers focused on Congenital heart defects research (6 papers), Ion channel regulation and function (4 papers) and Receptor Mechanisms and Signaling (4 papers). Nataliya Petrenko collaborates with scholars based in United States, Japan and Netherlands. Nataliya Petrenko's co-authors include Vickas V. Patel, Tao Wang, Mark Levin, Min Lü, Jonathan A. Epstein, Michael P. Morley, Su Zhou, Edward E. Morrisey, Minmin Lu and Kathleen M. Stewart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Nataliya Petrenko

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nataliya Petrenko United States 14 811 348 219 129 119 17 1.1k
Jibin Zhou United States 14 829 1.0× 393 1.1× 159 0.7× 60 0.5× 131 1.1× 14 1.1k
Robert R. Fandrich Canada 19 784 1.0× 318 0.9× 180 0.8× 69 0.5× 117 1.0× 41 1.1k
Ruri Kaneda Japan 19 1.1k 1.3× 280 0.8× 408 1.9× 145 1.1× 49 0.4× 34 1.5k
Jenni Huusko Finland 16 578 0.7× 355 1.0× 135 0.6× 194 1.5× 70 0.6× 33 1.0k
Zhaoqiang Cui China 14 615 0.8× 206 0.6× 187 0.9× 96 0.7× 111 0.9× 26 1.2k
Chi Keung Lam United States 19 993 1.2× 633 1.8× 158 0.7× 47 0.4× 87 0.7× 34 1.4k
Luca Mendler Hungary 18 708 0.9× 140 0.4× 89 0.4× 86 0.7× 149 1.3× 28 903
Valentina Sala Italy 15 448 0.6× 244 0.7× 125 0.6× 102 0.8× 44 0.4× 24 886
Mita Das United States 16 371 0.5× 209 0.6× 117 0.5× 182 1.4× 52 0.4× 27 994
Andrea N. Moor United States 17 587 0.7× 144 0.4× 144 0.7× 60 0.5× 76 0.6× 20 935

Countries citing papers authored by Nataliya Petrenko

Since Specialization
Citations

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

Fields of papers citing papers by Nataliya Petrenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nataliya Petrenko

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

All Works

17 of 17 papers shown
1.
Brandimarto, Jeffrey, Nataliya Petrenko, Íngrid Martí-Pàmies, et al.. (2021). Abstract 11154: Cardioprotective Effects of Mtss1 Reduction Iin Dilated Cardiomyopathy. Circulation. 144(Suppl_1). 1 indexed citations
2.
Windmueller, Rebecca, John P. Leach, Apoorva Babu, et al.. (2020). Direct Comparison of Mononucleated and Binucleated Cardiomyocytes Reveals Molecular Mechanisms Underlying Distinct Proliferative Competencies. Cell Reports. 30(9). 3105–3116.e4. 46 indexed citations
3.
Sakamoto, Tomoya, Timothy Matsuura, Shibiao Wan, et al.. (2020). A Critical Role for Estrogen-Related Receptor Signaling in Cardiac Maturation. Circulation Research. 126(12). 1685–1702. 87 indexed citations
4.
Broman, Michael, Jeffrey D. Steimle, Bastiaan J. Boukens, et al.. (2020). Transcriptional Patterning of the Ventricular Cardiac Conduction System. Circulation Research. 127(3). e94–e106. 21 indexed citations
5.
Wang, Ting, Nataliya Petrenko, Mathias Leblanc, et al.. (2015). Estrogen-Related Receptor α (ERRα) and ERRγ Are Essential Coordinators of Cardiac Metabolism and Function. Molecular and Cellular Biology. 35(7). 1281–1298. 102 indexed citations
6.
Hwang, Hayoung, Fang Liu, Nataliya Petrenko, et al.. (2015). Cardiac melanocytes influence atrial reactive oxygen species involved with electrical and structural remodeling in mice. Physiological Reports. 3(9). e12559–e12559. 4 indexed citations
7.
Tian, Ying, Ying Liu, Tao Wang, et al.. (2015). A microRNA-Hippo pathway that promotes cardiomyocyte proliferation and cardiac regeneration in mice. Science Translational Medicine. 7(279). 279ra38–279ra38. 284 indexed citations
8.
Rentschler, Stacey, Jia Lu, Nataliya Petrenko, et al.. (2012). Myocardial Notch Signaling Reprograms Cardiomyocytes to a Conduction-Like Phenotype. Circulation. 126(9). 1058–1066. 71 indexed citations
9.
Hawkins, Brian J., Mark Levin, Patrick J. Doonan, et al.. (2010). Mitochondrial Complex II Prevents Hypoxic but Not Calcium- and Proapoptotic Bcl-2 Protein-induced Mitochondrial Membrane Potential Loss. Journal of Biological Chemistry. 285(34). 26494–26505. 37 indexed citations
10.
Cárdenas, César, et al.. (2010). Structural evidence for perinuclear calcium microdomains in cardiac myocytes. Journal of Molecular and Cellular Cardiology. 50(3). 451–459. 46 indexed citations
11.
Qiao, Hui, Hualei Zhang, Satoshi Yamanaka, et al.. (2010). Long-Term Improvement in Postinfarct Left Ventricular Global and Regional Contractile Function Is Mediated by Embryonic Stem Cell–Derived Cardiomyocytes. Circulation Cardiovascular Imaging. 4(1). 33–41. 39 indexed citations
12.
Patel, Vickas V., Mark Levin, Min Lü, et al.. (2010). Melanocyte‐like cells in the heart and pulmonary veins contribute to atrial arrhythmia triggers. The FASEB Journal. 24(S1). 4 indexed citations
13.
Levin, Mark, Min Lü, Nataliya Petrenko, et al.. (2009). Melanocyte-like cells in the heart and pulmonary veins contribute to atrial arrhythmia triggers. Journal of Clinical Investigation. 119(11). 3420–36. 64 indexed citations
14.
Wang, Dairong, Vickas V. Patel, Emanuela Ricciotti, et al.. (2009). Cardiomyocyte cyclooxygenase-2 influences cardiac rhythm and function. Proceedings of the National Academy of Sciences. 106(18). 7548–7552. 101 indexed citations
15.
Li, Jifen, et al.. (2008). N-cadherin haploinsufficiency affects cardiac gap junctions and arrhythmic susceptibility. Journal of Molecular and Cellular Cardiology. 44(3). 597–606. 67 indexed citations
16.
Liu, Fang, Mark Levin, Nataliya Petrenko, et al.. (2008). Histone-deacetylase inhibition reverses atrial arrhythmia inducibility and fibrosis in cardiac hypertrophy independent of angiotensin. Journal of Molecular and Cellular Cardiology. 45(6). 715–723. 130 indexed citations
17.
Mak, Don‐On Daniel, Sean McBride, Nataliya Petrenko, & J. Kevin Foskett. (2003). Novel Regulation of Calcium Inhibition of the Inositol 1,4,5-trisphosphate Receptor Calcium-release Channel. The Journal of General Physiology. 122(5). 569–581. 38 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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