Réka Kovács-Nagy

1.2k total citations
22 papers, 363 citations indexed

About

Réka Kovács-Nagy is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Réka Kovács-Nagy has authored 22 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Réka Kovács-Nagy's work include Metabolism and Genetic Disorders (4 papers), MicroRNA in disease regulation (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Réka Kovács-Nagy is often cited by papers focused on Metabolism and Genetic Disorders (4 papers), MicroRNA in disease regulation (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Réka Kovács-Nagy collaborates with scholars based in Hungary, Germany and Austria. Réka Kovács-Nagy's co-authors include Mária Sasvári‐Székely, Zsolt Rónai, Anna Székely, Nóra Németh, Thomas Meitinger, Bader Alhaddad, Matias Wagner, Jimmy K. Hu, Tobias B. Haack and Tim M. Strom and has published in prestigious journals such as PLoS ONE, Oxidative Medicine and Cellular Longevity and Electrophoresis.

In The Last Decade

Réka Kovács-Nagy

20 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Réka Kovács-Nagy Hungary 13 168 82 61 58 56 22 363
Thuy Le United States 7 141 0.8× 56 0.7× 26 0.4× 61 1.1× 58 1.0× 8 285
Eriko F. Jimbo Japan 12 143 0.9× 89 1.1× 56 0.9× 30 0.5× 66 1.2× 26 355
Karin Kojima Japan 9 129 0.8× 105 1.3× 50 0.8× 67 1.2× 65 1.2× 18 311
Elisa De Grandis Italy 15 153 0.9× 106 1.3× 84 1.4× 77 1.3× 50 0.9× 46 578
Yong‐Hui Jiang United States 11 155 0.9× 194 2.4× 59 1.0× 22 0.4× 73 1.3× 12 444
Bàrbara Torrico Spain 8 122 0.7× 196 2.4× 58 1.0× 20 0.3× 163 2.9× 13 351
Marika Bianchi Italy 14 172 1.0× 57 0.7× 46 0.8× 35 0.6× 14 0.3× 17 535
Marie-Ève Rivard Canada 10 137 0.8× 17 0.2× 43 0.7× 22 0.4× 98 1.8× 18 587
Svetlana Gataullina France 13 135 0.8× 172 2.1× 180 3.0× 64 1.1× 36 0.6× 22 527
Mikhil Bamne United States 15 231 1.4× 138 1.7× 100 1.6× 14 0.2× 36 0.6× 22 579

Countries citing papers authored by Réka Kovács-Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Réka Kovács-Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Réka Kovács-Nagy. 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 Réka Kovács-Nagy. The network helps show where Réka Kovács-Nagy may publish in the future.

Co-authorship network of co-authors of Réka Kovács-Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Réka Kovács-Nagy. A scholar is included among the top collaborators of Réka Kovács-Nagy 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 Réka Kovács-Nagy. Réka Kovács-Nagy 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.
Bánlaki, Zsófia, et al.. (2025). Circulating miR-223-3p as an Independent Biomarker of Recurrent Thrombotic Risk After Ischemic Stroke. Biomedicines. 13(12). 2961–2961.
3.
Bánlaki, Zsófia, et al.. (2023). Missense Variants of von Willebrand Factor in the Background of COVID-19 Associated Coagulopathy. Genes. 14(3). 617–617. 1 indexed citations
4.
Kovács-Nagy, Réka, et al.. (2023). Persistent sepsis-induced transcriptomic signatures in signaling pathways of peripheral blood leukocytes: A pilot study. Human Immunology. 84(11). 600–608. 1 indexed citations
5.
Wortmann, Saskia B., et al.. (2020). Thiamine Pyrophosphokinase Deficiency due to Mutations in the TPK1 Gene: A Rare, Treatable Neurodegenerative Disorder. Neuropediatrics. 52(2). 126–132. 9 indexed citations
6.
Riedhammer, Korbinian M., Réka Kovács-Nagy, Thomas Meitinger, et al.. (2018). A De Novo Missense Variant in POU3F2 Identified in a Child with Global Developmental Delay. Neuropediatrics. 49(6). 401–404. 10 indexed citations
7.
Reinson, Karit, Réka Kovács-Nagy, Eve Õiglane‐Shlik, et al.. (2018). Diverse phenotype in patients with complex I deficiency due to mutations in NDUFB11. European Journal of Medical Genetics. 62(11). 103572–103572. 23 indexed citations
8.
9.
Feichtinger, René G., Michaela Brunner‐Krainz, Bader Alhaddad, et al.. (2017). Combined Respiratory Chain Deficiency and UQCC2 Mutations in Neonatal Encephalomyopathy: Defective Supercomplex Assembly in Complex III Deficiencies. Oxidative Medicine and Cellular Longevity. 2017(1). 7202589–7202589. 33 indexed citations
10.
Riedhammer, Korbinian M., Corinna Siegel, Bader Alhaddad, et al.. (2017). Identification of a Novel Heterozygous De Novo 7-bp Frameshift Deletion in PBX1 by Whole-Exome Sequencing Causing a Multi-Organ Syndrome Including Bilateral Dysplastic Kidneys and Hypoplastic Clavicles. Frontiers in Pediatrics. 5. 251–251. 15 indexed citations
11.
Gušić, Mirjana, Roman Günthner, Bader Alhaddad, et al.. (2017). Biallelic Mutations in SLC1A2; an Additional Mode of Inheritance for SLC1A2-Related Epilepsy. Neuropediatrics. 49(1). 59–62. 14 indexed citations
12.
Rónai, Zsolt, Réka Kovács-Nagy, Eszter Szántai, et al.. (2014). Glycogen synthase kinase 3 beta gene structural variants as possible risk factors of bipolar depression. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 165(3). 217–222. 23 indexed citations
13.
Németh, Nóra, Réka Kovács-Nagy, Anna Székely, Mária Sasvári‐Székely, & Zsolt Rónai. (2013). Association of Impulsivity and Polymorphic MicroRNA-641 Target Sites in the SNAP-25 Gene. PLoS ONE. 8(12). e84207–e84207. 37 indexed citations
14.
Kovács-Nagy, Réka, et al.. (2013). Association of aggression with a novel microRNA binding site polymorphism in the wolframin gene. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(4). 404–412. 20 indexed citations
15.
Kovács-Nagy, Réka, et al.. (2011). Haplotyping of putative microRNA‐binding sites in the SNAP‐25 gene. Electrophoresis. 32(15). 2013–2020. 14 indexed citations
16.
Székely, Anna, Réka Kovács-Nagy, Éva Bányai, et al.. (2010). Association Between Hypnotizability and the Catechol-O-Methyltransferase (COMT) Polymorphism. International Journal of Clinical and Experimental Hypnosis. 58(3). 301–315. 41 indexed citations
17.
Szabolcs, Annamária, Tamás Takács, Gyula Farkas, et al.. (2010). Polymorphisms of Beta Defensins Are Associated with the Risk of Severe Acute Pancreatitis. Pancreatology. 10(4). 483–490. 15 indexed citations
18.
Kótyuk, Eszter, Réka Kovács-Nagy, Gábor Faludi, et al.. (2009). [Association between nicotine dependence and the -521 promoter polymorfism of the dopamine D4 receptor in patients with major depression].. PubMed. 11(2). 59–67. 4 indexed citations
19.
Kovács-Nagy, Réka, Jimmy K. Hu, Zsolt Rónai, & Mária Sasvári‐Székely. (2009). SNAP-25: a novel candidate gene in psychiatric genetics.. PubMed. 11(2). 89–94. 15 indexed citations
20.
Nagy, Géza, Réka Kovács-Nagy, Éva Kereszturi, et al.. (2009). Association of hypoxia inducible factor-1 alpha gene polymorphism with both type 1 and type 2 diabetes in a Caucasian (Hungarian) sample. BMC Medical Genetics. 10(1). 79–79. 43 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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