Bernadett Faragó

409 total citations
16 papers, 331 citations indexed

About

Bernadett Faragó is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Bernadett Faragó has authored 16 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Bernadett Faragó's work include Protein Tyrosine Phosphatases (2 papers), Viral Infections and Immunology Research (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Bernadett Faragó is often cited by papers focused on Protein Tyrosine Phosphatases (2 papers), Viral Infections and Immunology Research (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Bernadett Faragó collaborates with scholars based in Hungary, Germany and United Kingdom. Bernadett Faragó's co-authors include Béla Melegh, Lili Magyari, Anita Maász, Enikő Sáfrány, Katalin Horvatovich, Luca Járomi, Csilla Sipeky, Veronika Csöngei, László Czirják and Zoltán Szekanecz and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Annals of the Rheumatic Diseases.

In The Last Decade

Bernadett Faragó

16 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernadett Faragó Hungary 9 141 74 72 68 61 16 331
Katalin Horvatovich Hungary 10 98 0.7× 72 1.0× 48 0.7× 72 1.1× 96 1.6× 15 365
Djillali Sahali France 7 85 0.6× 44 0.6× 59 0.8× 159 2.3× 55 0.9× 13 423
Behrooz Z. Alizadeh Netherlands 7 150 1.1× 156 2.1× 50 0.7× 89 1.3× 109 1.8× 7 429
F-J Tsai Taiwan 12 72 0.5× 81 1.1× 85 1.2× 141 2.1× 49 0.8× 21 438
Uwe Schlichting Germany 9 105 0.7× 45 0.6× 166 2.3× 156 2.3× 50 0.8× 10 460
Richard Siegel United States 10 133 0.9× 34 0.5× 48 0.7× 96 1.4× 55 0.9× 19 356
Alexander N. Parker United States 4 51 0.4× 88 1.2× 109 1.5× 74 1.1× 48 0.8× 5 287
S Miyamoto Japan 10 77 0.5× 99 1.3× 124 1.7× 129 1.9× 50 0.8× 18 461
Enikő Sáfrány Hungary 16 302 2.1× 130 1.8× 154 2.1× 135 2.0× 95 1.6× 25 637
Ahmet Arman Türkiye 12 152 1.1× 66 0.9× 72 1.0× 166 2.4× 25 0.4× 38 442

Countries citing papers authored by Bernadett Faragó

Since Specialization
Citations

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

Fields of papers citing papers by Bernadett Faragó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernadett Faragó

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

All Works

16 of 16 papers shown
1.
Molnár, Péter, Petra Örsy, Bernadett Faragó, et al.. (2019). NK2 receptor-mediated detrusor muscle contraction involves Gq/11-dependent activation of voltage-dependent Ca2+channels and the RhoA-Rho kinase pathway. American Journal of Physiology-Renal Physiology. 317(5). F1154–F1163. 6 indexed citations
2.
Faragó, Bernadett, Katalin Szabó, Gergely Bernáth, et al.. (2017). Stimulus-triggered enhancement of chilling tolerance in zebrafish embryos. PLoS ONE. 12(2). e0171520–e0171520. 1 indexed citations
3.
Németh, Tamás, Bernadett Faragó, Andrea Balogh, et al.. (2013). Lysophosphatidic acid induces vasodilation mediated by LPA 1 receptors, phospholipase C, and endothelial nitric oxide synthase. The FASEB Journal. 28(2). 880–890. 22 indexed citations
4.
Járomi, Luca, Veronika Csöngei, Noémi Polgár, et al.. (2009). Functional Variants of Glucokinase Regulatory Protein and Apolipoprotein A5 Genes in Ischemic Stroke. Journal of Molecular Neuroscience. 41(1). 121–128. 20 indexed citations
5.
Faragó, Bernadett, Péter Kisfali, Lili Magyari, Noémi Polgár, & Béla Melegh. (2009). Cytotoxic T lymphocyte-Associated Antigen +49G Variant Confers Risk for Anti-CCP- and Rheumatoid Factor-Positive Type of Rheumatoid Arthritis Only in Combination with CT60∗G Allele. Autoimmune Diseases. 2010. 1–5. 6 indexed citations
6.
Faragó, Bernadett, Katalin Komlósi, Gergely Nagy, et al.. (2008). Protein tyrosine phosphatase gene C1858T allele confers risk for rheumatoid arthritis in Hungarian subjects. Rheumatology International. 29(7). 793–796. 25 indexed citations
7.
Komlósi, Katalin, Bernadett Faragó, Lili Magyari, et al.. (2008). No influence of SLC22A4 C6607T and RUNX1 G24658C genotypic variants on the circulating carnitine ester profile in patients with rheumatoid arthritis.. PubMed. 26(1). 61–6. 5 indexed citations
8.
Szolnoki, Zoltán, Anita Maász, Lili Magyari, et al.. (2008). Galectin-2 3279TT variant protects against the lymphotoxin-α 252GG genotype associated ischaemic stroke. Clinical Neurology and Neurosurgery. 111(3). 227–230. 4 indexed citations
9.
Faragó, Bernadett, Anita Maász, Lili Magyari, et al.. (2008). Prevalence of functional haplotypes of the peptidylarginine deiminase citrullinating enzyme gene in patients with rheumatoid arthritis: no influence of the presence of anti-citrullinated peptide antibodies.. PubMed. 25(4). 523–8. 9 indexed citations
10.
Faragó, Bernadett & Béla Melegh. (2008). Gilbert syndrome. Orvosi Hetilap. 149(27). 1277–1282. 1 indexed citations
11.
Illés, Zsolt, Enikő Sáfrány, Ágnes Péterfalvi, et al.. (2007). 3′UTR C2370A allele of the IL-23 receptor gene is associated with relapsing-remitting multiple sclerosis. Neuroscience Letters. 431(1). 36–38. 31 indexed citations
12.
Maász, Anita, Péter Kisfali, Katalin Horvatovich, et al.. (2007). Apolipoprotein A5 T-1131C variant confers risk for metabolic syndrome. Pathology & Oncology Research. 13(3). 243–247. 50 indexed citations
13.
Magyari, Lili, Judit Bene, Katalin Komlósi, et al.. (2007). Prevalence of SLC22A4 1672T and SLC22A5 −207C combination defined TC haplotype in Hungarian ulcerative colitis patients. Pathology & Oncology Research. 13(1). 53–56. 8 indexed citations
14.
Szolnoki, Zoltán, Anita Maász, Lili Magyari, et al.. (2007). The combination of homozygous MTHFR 677T and angiotensin II type-1 receptor 1166C variants confers the risk of small-vessel-associated ischemic stroke. Journal of Molecular Neuroscience. 31(3). 201–207. 8 indexed citations
15.
Faragó, Bernadett, Lili Magyari, Enikő Sáfrány, et al.. (2007). Functional variants of interleukin-23 receptor gene confer risk for rheumatoid arthritis but not for systemic sclerosis. Annals of the Rheumatic Diseases. 67(2). 248–250. 112 indexed citations
16.
Szolnoki, Zoltán, Anita Maász, Lili Magyari, et al.. (2006). Coexistence of angiotensin II type-1 receptor A1166C and angiotensin-converting enzyme D/D polymorphism suggests susceptibility for small-vessel-associated ischemic stroke. NeuroMolecular Medicine. 8(3). 353–360. 23 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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