Kyriacos Felekkis

1.1k total citations
32 papers, 871 citations indexed

About

Kyriacos Felekkis is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Kyriacos Felekkis has authored 32 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Kyriacos Felekkis's work include MicroRNA in disease regulation (10 papers), Renal and related cancers (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Kyriacos Felekkis is often cited by papers focused on MicroRNA in disease regulation (10 papers), Renal and related cancers (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Kyriacos Felekkis collaborates with scholars based in Cyprus, Germany and United States. Kyriacos Felekkis's co-authors include Constantinos Deltas, Charalambos Stefanou, Christos Papaneophytou, Adam Lerner, Konstantinos Voskarides, Norbert Gretz, Richard I. Near, Harsh Dweep, Eun‐Yi Moon and David H. Sherr and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Kyriacos Felekkis

30 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyriacos Felekkis Cyprus 13 614 374 115 106 81 32 871
Francine Grondin Canada 12 433 0.7× 184 0.5× 74 0.6× 53 0.5× 124 1.5× 16 851
Frank Wempe Germany 17 556 0.9× 123 0.3× 187 1.6× 70 0.7× 68 0.8× 28 978
Natasha Kolesnikoff Australia 9 894 1.5× 698 1.9× 60 0.5× 52 0.5× 88 1.1× 10 1.3k
Louise N. Reynard United Kingdom 26 839 1.4× 607 1.6× 308 2.7× 52 0.5× 60 0.7× 57 1.8k
Greg P. Bertenshaw United States 12 221 0.4× 203 0.5× 56 0.5× 99 0.9× 53 0.7× 19 549
Rebecca S. Dise United States 8 338 0.6× 67 0.2× 101 0.9× 110 1.0× 123 1.5× 9 600
Indira V. Subramanian United States 12 699 1.1× 483 1.3× 93 0.8× 35 0.3× 91 1.1× 15 1.0k
Sébastien Jauliac France 12 715 1.2× 159 0.4× 43 0.4× 68 0.6× 162 2.0× 16 981
Cuifen Huang China 14 735 1.2× 183 0.5× 134 1.2× 76 0.7× 101 1.2× 61 1.1k
Michael Wallisch United States 13 988 1.6× 318 0.9× 192 1.7× 18 0.2× 134 1.7× 33 1.4k

Countries citing papers authored by Kyriacos Felekkis

Since Specialization
Citations

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

Fields of papers citing papers by Kyriacos Felekkis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyriacos Felekkis

This figure shows the co-authorship network connecting the top 25 collaborators of Kyriacos Felekkis. A scholar is included among the top collaborators of Kyriacos Felekkis 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 Kyriacos Felekkis. Kyriacos Felekkis 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.
Felekkis, Kyriacos & Christos Papaneophytou. (2025). The potential applications of artificial intelligence in biomarker discovery for cardiovascular diseases. 3(3). 8442–8442.
2.
Felekkis, Kyriacos, Marco Solmi, Christoph U. Correll, et al.. (2024). The Collaborative Outcome Study on Health and Functioning during Infection Times (COH-FIT): Results from Cyprus. Journal of Clinical Medicine. 13(18). 5395–5395. 2 indexed citations
3.
Andreou, Eleni, George Aphamis, Kyriacos Felekkis, et al.. (2024). Evaluating the evening carbohydrate dilemma: the effect of within-the-day carbohydrate periodization on body composition and physical fitness. European Journal of Nutrition. 64(1). 23–23. 1 indexed citations
4.
5.
Papaneophytou, Christos, Carme Calvis, Marta Costa, et al.. (2022). Associations between serum biomarkers of cartilage metabolism and serum hyaluronic acid, with risk factors, pain categories, and disease severity in knee osteoarthritis: a pilot study. BMC Musculoskeletal Disorders. 23(1). 195–195. 12 indexed citations
6.
Papaneophytou, Christos, Myrtani Pieri, Vicky Nicolaidou, et al.. (2022). Seroprevalence of immunoglobulin G antibodies against SARS-CoV-2 in Cyprus. PLoS ONE. 17(6). e0269885–e0269885. 2 indexed citations
7.
8.
Papagregoriou, Gregory, et al.. (2019). Evidence for miR-548c-5p regulation of FOXC2 transcription through a distal genomic target site in human podocytes. Cellular and Molecular Life Sciences. 77(12). 2441–2459. 7 indexed citations
9.
Felekkis, Kyriacos. (2017). MicroRNAs and Aging: Biomarkers or Therapeutic Targets?. Current Aging Science. 10(2). 80–82. 1 indexed citations
10.
Dweep, Harsh, Nada Kubikova, Norbert Gretz, Konstantinos Voskarides, & Kyriacos Felekkis. (2015). Homo sapiens exhibit a distinct pattern of CNV genes regulation: an important role of miRNAs and SNPs in expression plasticity. Scientific Reports. 5(1). 12163–12163. 9 indexed citations
11.
Dweep, Harsh, Norbert Gretz, & Kyriacos Felekkis. (2014). A Schematic Workflow for Collecting Information About the Interaction Between Copy Number Variants and MicroRNAs Using Existing Resources. Methods in molecular biology. 307–320. 7 indexed citations
12.
Dweep, Harsh, et al.. (2013). CNVs-microRNAs Interactions Demonstrate Unique Characteristics in the Human Genome. An Interspecies in silico Analysis. PLoS ONE. 8(12). e81204–e81204. 14 indexed citations
13.
Papagregoriou, Gregory, Kamil Erguler, Harsh Dweep, et al.. (2012). A miR-1207-5p Binding Site Polymorphism Abolishes Regulation of HBEGF and Is Associated with Disease Severity in CFHR5 Nephropathy. PLoS ONE. 7(2). e31021–e31021. 40 indexed citations
14.
Deltas, Constantinos & Kyriacos Felekkis. (2012). Is suppression of cyst growth in PKD enough to preserve renal function?. PubMed. 1(3). 216–218. 3 indexed citations
15.
Felekkis, Kyriacos, et al.. (2010). Cyst formation in the PKD2 (1-703) transgenic rat precedes deregulation of proliferation-related pathways. BMC Nephrology. 11(1). 23–23. 12 indexed citations
16.
Felekkis, Kyriacos, Evdokia Kastanos, Ralph Witzgall, et al.. (2008). Mutant polycystin-2 induces proliferation in primary rat tubular epithelial cells in a STAT-1/p21-independent fashion accompanied instead by alterations in expression of p57KIP2and Cdk2. BMC Nephrology. 9(1). 10–10. 21 indexed citations
17.
Felekkis, Kyriacos, Lawrence A. Quilliam, & Adam Lerner. (2006). Characterization of AND‐34 Function and Signaling. Methods in enzymology on CD-ROM/Methods in enzymology. 407. 55–63. 7 indexed citations
18.
Felekkis, Kyriacos, Radha P. Narsimhan, Richard I. Near, et al.. (2005). AND-34 Activates Phosphatidylinositol 3-Kinase and Induces Anti-Estrogen Resistance in a SH2 and GDP Exchange Factor–Like Domain-Dependent Manner. Molecular Cancer Research. 3(1). 32–41. 38 indexed citations
19.
Cai, Dongpo, Kyriacos Felekkis, Richard I. Near, et al.. (2003). The GDP Exchange Factor AND-34 Is Expressed in B Cells, Associates With HEF1, and Activates Cdc42. The Journal of Immunology. 170(2). 969–978. 34 indexed citations
20.

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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