Ceren Eyileten

2.3k total citations
83 papers, 1.7k citations indexed

About

Ceren Eyileten is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ceren Eyileten has authored 83 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 31 papers in Cancer Research and 30 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ceren Eyileten's work include MicroRNA in disease regulation (26 papers), Circular RNAs in diseases (19 papers) and Cancer-related molecular mechanisms research (16 papers). Ceren Eyileten is often cited by papers focused on MicroRNA in disease regulation (26 papers), Circular RNAs in diseases (19 papers) and Cancer-related molecular mechanisms research (16 papers). Ceren Eyileten collaborates with scholars based in Poland, Austria and Italy. Ceren Eyileten's co-authors include Marek Postuła, Zofia Wicik, Jolanta M. Siller‐Matula, Dagmara Mirowska-Guzeł, Salvatore De Rosa, Daniel Jakubik, Ciro Indolfi, Joanna Jarosz-Popek, Agnieszka Kapłon‐Cieślicka and Krzysztof J. Filipiak‬ and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and European Heart Journal.

In The Last Decade

Ceren Eyileten

78 papers receiving 1.6k citations

Peers

Ceren Eyileten
Chiranjib Dasgupta United States
Ji Bihl United States
Feifei Ma China
Ceren Eyileten
Citations per year, relative to Ceren Eyileten Ceren Eyileten (= 1×) peers Hulin Piao

Countries citing papers authored by Ceren Eyileten

Since Specialization
Citations

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

Fields of papers citing papers by Ceren Eyileten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ceren Eyileten

This figure shows the co-authorship network connecting the top 25 collaborators of Ceren Eyileten. A scholar is included among the top collaborators of Ceren Eyileten 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 Ceren Eyileten. Ceren Eyileten 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.
2.
Gąsecka, Aleksandra, Krzysztof J. Filipiak‬, Janusz Kochman, et al.. (2024). Ticagrelor downregulates the expression of proatherogenic and proinflammatory miR125-b compared to clopidogrel: A randomized, controlled trial. International Journal of Cardiology. 406. 132073–132073. 1 indexed citations
3.
Gąsecka, Aleksandra, Ceren Eyileten, Marek Postuła, et al.. (2023). Plasma concentration of TMAO is an independent predictor of adverse outcomes in patients after acute myocardial infarction. Advances in Interventional Cardiology. 19(1). 31–39. 7 indexed citations
4.
Wilimski, Radosław, et al.. (2023). The association of body composition assessment with hospital length of stay in off-pump coronary artery bypass patients. Advances in Interventional Cardiology. 19(3). 233–242.
5.
Sabatino, Jolanda, Isabella Leo, Ceren Eyileten, et al.. (2023). Clinical Application of Circular RNAs as Biomarkers in Acute Ischemic Stroke. Journal of Personalized Medicine. 13(5). 839–839. 5 indexed citations
6.
Sabatino, Jolanda, et al.. (2023). Circular RNAs in Ischemic Stroke: Biological Role and Experimental Models. Biomolecules. 13(2). 214–214. 11 indexed citations
7.
Eyileten, Ceren, Daniel Jakubik, Aleksandra Gąsecka, et al.. (2022). Diagnostic Performance of Circulating miRNAs and Extracellular Vesicles in Acute Ischemic Stroke. International Journal of Molecular Sciences. 23(9). 4530–4530. 18 indexed citations
8.
Członkowska, Anna, et al.. (2022). Autoantibodies in Wilson disease: Impact on clinical course. JIMD Reports. 63(5). 508–517. 8 indexed citations
9.
Rosa, Salvatore De, Claudio Iaconetti, Ceren Eyileten, et al.. (2022). Flow-Responsive Noncoding RNAs in the Vascular System: Basic Mechanisms for the Clinician. Journal of Clinical Medicine. 11(2). 459–459. 6 indexed citations
10.
Gąsecka, Aleksandra, Marta Banaszkiewicz, Rienk Nieuwland, et al.. (2021). Prostacyclin Analogues Inhibit Platelet Reactivity, Extracellular Vesicle Release and Thrombus Formation in Patients with Pulmonary Arterial Hypertension. Journal of Clinical Medicine. 10(5). 1024–1024. 25 indexed citations
11.
Eyileten, Ceren, Daniel Jakubik, Pamela Czajka, et al.. (2021). Alterations in Circulating MicroRNAs and the Relation of MicroRNAs to Maximal Oxygen Consumption and Intima–Media Thickness in Ultra-Marathon Runners. International Journal of Environmental Research and Public Health. 18(14). 7234–7234. 12 indexed citations
12.
Soplińska, Aleksandra, Zofia Wicik, Ceren Eyileten, et al.. (2020). MicroRNAs as Biomarkers of Systemic Changes in Response to Endurance Exercise—A Comprehensive Review. Diagnostics. 10(10). 813–813. 25 indexed citations
13.
Eyileten, Ceren, Salvatore De Rosa, Günter Christ, et al.. (2019). Bioresorbable Vascular Scaffolds—Dead End or Still a Rough Diamond?. Journal of Clinical Medicine. 8(12). 2167–2167. 21 indexed citations
14.
Gąsecka, Aleksandra, Rienk Nieuwland, Françoise Dignat‐George, et al.. (2019). Ticagrelor attenuates the increase of extracellular vesicle concentrations in plasma after acute myocardial infarction compared to clopidogrel. Journal of Thrombosis and Haemostasis. 18(3). 609–623. 47 indexed citations
15.
Jakubik, Daniel, Joanna Jarosz-Popek, Zofia Wicik, et al.. (2019). Significance of circulating microRNAs in diabetes mellitus type 2 and platelet reactivity: bioinformatic analysis and review. Cardiovascular Diabetology. 18(1). 113–113. 113 indexed citations
16.
Sabatino, Jolanda, Zofia Wicik, Salvatore De Rosa, et al.. (2019). MicroRNAs fingerprint of bicuspid aortic valve. Journal of Molecular and Cellular Cardiology. 134. 98–106. 26 indexed citations
17.
Kapłon‐Cieślicka, Agnieszka, Agata Tymińska, Marek Rosiak, et al.. (2018). Resistin is a prognostic factor for death in type 2 diabetes. Diabetes/Metabolism Research and Reviews. 35(2). e3098–e3098. 19 indexed citations
18.
Eyileten, Ceren, Zofia Wicik, Salvatore De Rosa, et al.. (2018). MicroRNAs as Diagnostic and Prognostic Biomarkers in Ischemic Stroke—A Comprehensive Review and Bioinformatic Analysis. Cells. 7(12). 249–249. 142 indexed citations
19.
Gąsecka, Aleksandra, Rienk Nieuwland, Françoise Dignat‐George, et al.. (2018). Randomized controlled trial protocol to investigate the antiplatelet therapy effect on extracellular vesicles (AFFECT EV) in acute myocardial infarction. Platelets. 31(1). 26–32. 25 indexed citations
20.
Eyileten, Ceren, Dagmara Mirowska-Guzeł, M Zaremba, et al.. (2018). Serum Brain-Derived Neurotrophic Factor is Related to Platelet Reactivity and Metformin Treatment in Adult Patients With Type 2 Diabetes Mellitus. Canadian Journal of Diabetes. 43(1). 19–26. 21 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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