Ela Karshovska

1.1k total citations
17 papers, 871 citations indexed

About

Ela Karshovska is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ela Karshovska has authored 17 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Ela Karshovska's work include Platelet Disorders and Treatments (4 papers), Chemokine receptors and signaling (4 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Ela Karshovska is often cited by papers focused on Platelet Disorders and Treatments (4 papers), Chemokine receptors and signaling (4 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Ela Karshovska collaborates with scholars based in Germany, Netherlands and United States. Ela Karshovska's co-authors include Christian Weber, Andreas Schober, Pallavi Subramanian, Philipp von Hundelshausen, Alma Zernecke, Remco T. A. Megens, Oliver Soehnlein, Marc van Zandvoort, Zhe Zhou and Shamima Akhtar and has published in prestigious journals such as Circulation Research, Cell Metabolism and Diabetes.

In The Last Decade

Ela Karshovska

17 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ela Karshovska Germany 13 478 298 252 138 114 17 871
Jan‐Marcus Daniel Germany 15 609 1.3× 172 0.6× 191 0.8× 99 0.7× 106 0.9× 31 992
Curran Murphy United States 8 594 1.2× 344 1.2× 241 1.0× 146 1.1× 171 1.5× 12 1.2k
Olivier Calvayrac France 15 430 0.9× 186 0.6× 212 0.8× 134 1.0× 51 0.4× 24 875
Chongxiu Sun United States 14 296 0.6× 267 0.9× 209 0.8× 54 0.4× 158 1.4× 21 880
Laura A. Maile United States 28 874 1.8× 317 1.1× 307 1.2× 120 0.9× 132 1.2× 48 1.5k
Yves Rival France 12 521 1.1× 249 0.8× 124 0.5× 80 0.6× 80 0.7× 15 1.1k
Shamima Akhtar India 11 570 1.2× 420 1.4× 467 1.9× 113 0.8× 84 0.7× 18 1.1k
Omar Benzakour France 15 382 0.8× 177 0.6× 177 0.7× 101 0.7× 80 0.7× 33 869
Mahnaz Bonrouhi Germany 14 493 1.0× 210 0.7× 127 0.5× 114 0.8× 134 1.2× 21 947
Rosa Aledo Spain 20 507 1.1× 103 0.3× 166 0.7× 58 0.4× 130 1.1× 36 882

Countries citing papers authored by Ela Karshovska

Since Specialization
Citations

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

Fields of papers citing papers by Ela Karshovska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ela Karshovska

This figure shows the co-authorship network connecting the top 25 collaborators of Ela Karshovska. A scholar is included among the top collaborators of Ela Karshovska 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 Ela Karshovska. Ela Karshovska 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.
Karshovska, Ela, Mengyu Zhu, Farima Zahedi, et al.. (2022). Endothelial ENPP2 (Ectonucleotide Pyrophosphatase/Phosphodiesterase 2) Increases Atherosclerosis in Female and Male Mice. Arteriosclerosis Thrombosis and Vascular Biology. 42(8). 1023–1036. 12 indexed citations
2.
Karshovska, Ela, Yuanyuan Wei, Pallavi Subramanian, et al.. (2020). HIF-1α (Hypoxia-Inducible Factor-1α) Promotes Macrophage Necroptosis by Regulating miR-210 and miR-383. Arteriosclerosis Thrombosis and Vascular Biology. 40(3). 583–596. 89 indexed citations
3.
Karshovska, Ela, et al.. (2018). P6569Endothelial specific autotaxin in atherosclerosis. European Heart Journal. 39(suppl_1). 1 indexed citations
4.
Zhu, Mengyu, Yuanyuan Wei, Claudia Geißler, et al.. (2017). Hyperlipidemia-Induced MicroRNA-155-5p Improves β-Cell Function by TargetingMafb. Diabetes. 66(12). 3072–3084. 46 indexed citations
5.
Zhao, Zhen, Tanja Vajen, Ela Karshovska, et al.. (2017). Deletion of junctional adhesion molecule A from platelets increases early‐stage neointima formation after wire injury in hyperlipidemic mice. Journal of Cellular and Molecular Medicine. 21(8). 1523–1531. 19 indexed citations
6.
Karshovska, Ela & Andreas Schober. (2017). HIF-1a promotes necroptosis in macrophages by micrornas. Atherosclerosis. 263. e11–e11. 2 indexed citations
7.
Akhtar, Shamima, Petra Hartmann, Ela Karshovska, et al.. (2015). Endothelial Hypoxia-Inducible Factor-1α Promotes Atherosclerosis and Monocyte Recruitment by Upregulating MicroRNA-19a. Hypertension. 66(6). 1220–1226. 133 indexed citations
8.
Herwald, Heiko, Daniel Teupser, Helmut Küchenhoff, et al.. (2014). Inflammatory role and prognostic value of platelet chemokines in acute coronary syndrome. Thrombosis and Haemostasis. 112(12). 1277–1287. 37 indexed citations
9.
Karshovska, Ela, Zhen Zhao, Xavier Blanchet, et al.. (2014). Hyperreactivity of Junctional Adhesion Molecule A-Deficient Platelets Accelerates Atherosclerosis in Hyperlipidemic Mice. Circulation Research. 116(4). 587–599. 60 indexed citations
10.
Manthey, Helga D., Clément Cochain, Ela Karshovska, et al.. (2013). CCR6 selectively promotes monocyte mediated inflammation and atherogenesis in mice. Thrombosis and Haemostasis. 110(12). 1267–1277. 23 indexed citations
11.
Karshovska, Ela, Christian Weber, & Philipp von Hundelshausen. (2013). Platelet chemokines in health and disease. Thrombosis and Haemostasis. 110(11). 894–902. 57 indexed citations
12.
Zipse, Hendrik, Wolfgang Siess, Andreas Schmidt, et al.. (2013). Stereo specific platelet inhibition by the natural LXR agonist 22(R)-OH-cholesterol and its fluorescence labelling with preserved bioactivity and chiral handling in macrophages. Biochemical Pharmacology. 86(2). 279–285. 9 indexed citations
13.
Zhou, Zhe, Pallavi Subramanian, Brigitta Globke, et al.. (2011). Lipoprotein-Derived Lysophosphatidic Acid Promotes Atherosclerosis by Releasing CXCL1 from the Endothelium. Cell Metabolism. 13(5). 592–600. 175 indexed citations
14.
Subramanian, Pallavi, Ela Karshovska, Remco T. A. Megens, et al.. (2010). Lysophosphatidic Acid Receptors LPA1and LPA3Promote CXCL12-Mediated Smooth Muscle Progenitor Cell Recruitment in Neointima Formation. Circulation Research. 107(1). 96–105. 58 indexed citations
15.
Karshovska, Ela & Andreas Schober. (2008). Mechanisms of arterial remodeling and neointima formation: an updated view on the chemokine system. Drug Discovery Today Disease Mechanisms. 5(3-4). e293–e298. 4 indexed citations
16.
Karshovska, Ela, Alma Zernecke, Mihail Hristov, et al.. (2007). Expression of HIF-1α in Injured Arteries Controls SDF-1α–Mediated Neointima Formation in Apolipoprotein E–Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 27(12). 2540–2547. 77 indexed citations
17.
Schober, Andreas, Ela Karshovska, Alma Zernecke, & Christian Weber. (2006). SDF-1α-Mediated Tissue Repair by Stem Cells: A Promising Tool in Cardiovascular Medicine?. Trends in Cardiovascular Medicine. 16(4). 103–108. 69 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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