Béla Melegh

42.1k total citations
260 papers, 4.4k citations indexed

About

Béla Melegh is a scholar working on Molecular Biology, Clinical Biochemistry and Genetics. According to data from OpenAlex, Béla Melegh has authored 260 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 68 papers in Clinical Biochemistry and 63 papers in Genetics. Recurrent topics in Béla Melegh's work include Metabolism and Genetic Disorders (65 papers), Mitochondrial Function and Pathology (35 papers) and Viral gastroenteritis research and epidemiology (20 papers). Béla Melegh is often cited by papers focused on Metabolism and Genetic Disorders (65 papers), Mitochondrial Function and Pathology (35 papers) and Viral gastroenteritis research and epidemiology (20 papers). Béla Melegh collaborates with scholars based in Hungary, Germany and United States. Béla Melegh's co-authors include Judit Bene, Péter Kisfali, Kinga Hadzsiev, Krisztián Bànyai, Enikő Sáfrány, Anita Maász, János Kerner, Zoltán Szolnoki, Vito Martella and Lili Magyari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gut.

In The Last Decade

Béla Melegh

251 papers receiving 4.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Béla Melegh 1.4k 870 771 763 710 260 4.4k
Saul Teichberg 1.0k 0.8× 296 0.3× 233 0.3× 154 0.2× 628 0.9× 135 3.8k
Renu Sarao 2.0k 1.5× 282 0.3× 1.8k 2.3× 1.4k 1.8× 84 0.1× 20 5.8k
Bing Yu 2.2k 1.6× 781 0.9× 89 0.1× 607 0.8× 130 0.2× 209 5.3k
Toshio Miyawaki 1.9k 1.3× 736 0.8× 374 0.5× 1.5k 1.9× 163 0.2× 207 6.8k
Yoshitake Hayashi 1.8k 1.3× 305 0.4× 227 0.3× 587 0.8× 105 0.1× 243 5.6k
Eduardo Salido 3.8k 2.8× 1.4k 1.6× 211 0.3× 200 0.3× 368 0.5× 222 7.2k
Jan van Deursen 4.4k 3.1× 797 0.9× 178 0.2× 608 0.8× 148 0.2× 71 8.3k
Kimitoshi Nakamura 2.6k 1.9× 461 0.5× 137 0.2× 308 0.4× 614 0.9× 217 6.0k
Timothy K. Cooper 1.0k 0.7× 989 1.1× 128 0.2× 530 0.7× 110 0.2× 113 3.8k
Manfred Herold 1.1k 0.8× 358 0.4× 178 0.2× 393 0.5× 108 0.2× 201 6.4k

Countries citing papers authored by Béla Melegh

Since Specialization
Citations

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

Fields of papers citing papers by Béla Melegh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béla Melegh

This figure shows the co-authorship network connecting the top 25 collaborators of Béla Melegh. A scholar is included among the top collaborators of Béla Melegh 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 Béla Melegh. Béla Melegh 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.
Wert, Guido de, Carla van El, Angus Clarke, et al.. (2025). Cascade counselling and testing. Recommendations of the European Society of Human Genetics. European Journal of Human Genetics. 34(2). 171–184.
2.
Hadzsiev, Kinga, et al.. (2023). Correlation between large FBN1 deletions and severe cardiovascular phenotype in Marfan syndrome: Analysis of two novel cases and analytical review of the literature. Molecular Genetics & Genomic Medicine. 11(7). e2166–e2166. 5 indexed citations
3.
Czakó, Márta, et al.. (2021). Xp11.2 Duplication in Females: Unique Features of a Rare Copy Number Variation. Frontiers in Genetics. 12. 635458–635458. 2 indexed citations
4.
Melegh, Béla, Zsolt Bánfai, Kinga Hadzsiev, Attila Miseta, & Béla Melegh. (2017). Refining the South Asian Origin of the Romani people. BMC Genetics. 18(1). 82–82. 19 indexed citations
5.
6.
Sipeky, Csilla, et al.. (2015). Interethnic variability of CYP4F2 (V433M) in admixed population of Roma and Hungarians. Environmental Toxicology and Pharmacology. 40(1). 280–283. 2 indexed citations
7.
Hehir‐Kwa, Jayne Y., Mireille Claustres, Ros Hastings, et al.. (2015). Towards a European consensus for reporting incidental findings during clinical NGS testing. European Journal of Human Genetics. 23(12). 1601–1606. 56 indexed citations
8.
Magyari, Lili, et al.. (2015). Interethnic differences of cytochrome P450 gene polymorphisms may influence outcome of taxane therapy in Roma and Hungarian populations. Drug Metabolism and Pharmacokinetics. 30(6). 453–456. 2 indexed citations
9.
Nagy, Ágnes, et al.. (2015). Extreme differences in SLCO1B3 functional polymorphisms in Roma and Hungarian populations. Environmental Toxicology and Pharmacology. 39(3). 1246–1251. 4 indexed citations
10.
Magyari, Lili, Luca Járomi, Katalin Sümegi, et al.. (2014). Admixture of beneficial and unfavourable variants of GLCCI1 and FCER2 in Roma samples can implicate different clinical response to corticosteroids. Molecular Biology Reports. 41(11). 7665–7669. 4 indexed citations
11.
Magyari, Lili, Patrícia Sarlós, Luca Járomi, et al.. (2013). Marked differences of haplotype tagging SNP distribution, linkage, and haplotype profile of IL23 receptor gene in Roma and Hungarian population samples. Cytokine. 65(2). 148–152. 5 indexed citations
12.
Melegh, Béla, et al.. (2013). Hodgkin Disease Therapy Induced Second Malignancy Susceptibility 6q21 Functional Variants in Roma and Hungarian Population Samples. Pathology & Oncology Research. 20(3). 529–533. 9 indexed citations
13.
Moorjani, Priya, Nick Patterson, Po‐Ru Loh, et al.. (2013). Reconstructing Roma History from Genome-Wide Data. PLoS ONE. 8(3). e58633–e58633. 46 indexed citations
14.
Sipeky, Csilla, Veronika Csöngei, Luca Járomi, et al.. (2010). Genetic Variability and Haplotype Profile of MDR1 (ABCB1) in Roma and Hungarian Population Samples with a Review of the Literature. Drug Metabolism and Pharmacokinetics. 26(2). 206–215. 31 indexed citations
15.
Schmitz‐Hübsch, Tanja, Sylvia Boesch, Alexandra Dürr, et al.. (2010). Falls in Spinocerebellar Ataxias: Results of the EuroSCA Fall Study. The Cerebellum. 9(2). 232–239. 4 indexed citations
16.
Lochmüller, Hanns, Ségolène Aymé, Francesca Pampinella, et al.. (2009). The Role of Biobanking in Rare Diseases: European Consensus Expert Group Report. Biopreservation and Biobanking. 7(3). 155–156. 28 indexed citations
17.
Kisfali, Péter, Márton Mohás, Anita Maász, et al.. (2008). Apolipoprotein A5 gene APOA5*2 haplotype variant confers risk for the development of metabolic syndrome. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).
18.
Maász, Anita, Katalin Horvatovich, Lili Magyari, et al.. (2006). [Search for mitochondrial DNA T4291C mutation in Hungarian patients with metabolic syndrome].. PubMed. 147(15). 693–6. 3 indexed citations
19.
Kellermayer, Richárd, Matthew Keller, Paulina Ratajczak, et al.. (2005). Bigenic connexin mutations in a patient with hidrotic ectodermal dysplasia.. PubMed. 15(2). 75–9. 20 indexed citations
20.
Melegh, Béla, et al.. (1998). [Incidence of factor V G1681A (Leiden) mutation in samplings from the Hungarian population].. PubMed. 139(19). 1161–3. 5 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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