Artan Çeka

558 total citations
9 papers, 426 citations indexed

About

Artan Çeka is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Artan Çeka has authored 9 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Physiology. Recurrent topics in Artan Çeka's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Artan Çeka is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). Artan Çeka collaborates with scholars based in Italy and Spain. Artan Çeka's co-authors include Antonio Domenico Procopio, Olivieri Fabiola, Massimiliano Bonafè, Maria Cristina Albertini, Roberto Testa, Angelica Giuliani, Monica Cricca, Monia Orciani, Francesco Prattichizzo and Maria Rita Rippo and has published in prestigious journals such as BioMed Research International, The Laryngoscope and Oncotarget.

In The Last Decade

Artan Çeka

9 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Artan Çeka Italy 8 229 149 72 70 56 9 426
Gurinder Bir Singh India 11 240 1.0× 123 0.8× 61 0.8× 144 2.1× 31 0.6× 15 433
Hela Ben Nasr Tunisia 15 149 0.7× 144 1.0× 64 0.9× 19 0.3× 53 0.9× 33 484
Xiaoqiang Ding China 10 190 0.8× 200 1.3× 40 0.6× 21 0.3× 54 1.0× 14 411
Nunzia Carusio France 7 245 1.1× 70 0.5× 67 0.9× 92 1.3× 77 1.4× 8 387
Jennifer Rose United States 10 208 0.9× 67 0.4× 38 0.5× 29 0.4× 50 0.9× 11 389
Shujun Wan China 10 231 1.0× 162 1.1× 30 0.4× 34 0.5× 30 0.5× 17 417
Kun Liang China 13 156 0.7× 90 0.6× 35 0.5× 30 0.4× 44 0.8× 37 415
D. Gareth Jones United States 6 142 0.6× 132 0.9× 48 0.7× 43 0.6× 24 0.4× 8 360
Matthew Hoffman United States 8 223 1.0× 38 0.3× 44 0.6× 89 1.3× 24 0.4× 14 459
Shengrong Ouyang China 13 255 1.1× 102 0.7× 54 0.8× 37 0.5× 23 0.4× 34 422

Countries citing papers authored by Artan Çeka

Since Specialization
Citations

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

Fields of papers citing papers by Artan Çeka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artan Çeka

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

All Works

9 of 9 papers shown
1.
Sabbatinelli, Jacopo, Angelica Giuliani, Anna Rita Bonfigli, et al.. (2022). Prognostic value of soluble ST2, high-sensitivity cardiac troponin, and NT-proBNP in type 2 diabetes: a 15-year retrospective study. Cardiovascular Diabetology. 21(1). 180–180. 23 indexed citations
2.
Faro, Alfredo Fabrizio Lo, Anastasio Tini, Filippo Pirani, et al.. (2022). Quantification of Carbonic Anhydrase Inhibitors and Metabolites in Urine and Hair of Patients and Their Relatives. Biology. 11(10). 1379–1379. 3 indexed citations
3.
Re, Massimo, Giuseppe Magliulo, Federico Maria Gioacchini, et al.. (2017). Expression Levels and Clinical Significance of miR-21-5p, miR-let-7a, and miR-34c-5p in Laryngeal Squamous Cell Carcinoma. BioMed Research International. 2017. 1–9. 35 indexed citations
4.
Prattichizzo, Francesco, Massimiliano Bonafè, Artan Çeka, et al.. (2016). Endothelial Cell Senescence and Inflammaging: MicroRNAs as Biomarkers and Innovative Therapeutic Tools. Current Drug Targets. 17(4). 388–397. 20 indexed citations
5.
Prattichizzo, Francesco, Angelica Giuliani, Valeria De Nigris, et al.. (2016). Extracellular microRNAs and endothelial hyperglycaemic memory: a therapeutic opportunity?. Diabetes Obesity and Metabolism. 18(9). 855–867. 58 indexed citations
6.
Prattichizzo, Francesco, Angelica Giuliani, Artan Çeka, et al.. (2015). Epigenetic mechanisms of endothelial dysfunction in type 2 diabetes. Clinical Epigenetics. 7(1). 56–56. 76 indexed citations
7.
Re, Massimo, Artan Çeka, Corrado Rubini, et al.. (2015). MicroRNA‐34c‐5p is related to recurrence in laryngeal squamous cell carcinoma. The Laryngoscope. 125(9). E306–12. 27 indexed citations
8.
Fabiola, Olivieri, Maria Cristina Albertini, Monia Orciani, et al.. (2015). DNA damage response (DDR) and senescence: shuttled inflamma-miRNAs on the stage of inflamm-aging. Oncotarget. 6(34). 35509–35521. 130 indexed citations
9.
Fabiola, Olivieri, Roberta Galeazzi, Davide Giavarina, et al.. (2012). Aged-related increase of high sensitive Troponin T and its implication in acute myocardial infarction diagnosis of elderly patients. Mechanisms of Ageing and Development. 133(5). 300–305. 54 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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