Ján Miertuš

567 total citations
21 papers, 283 citations indexed

About

Ján Miertuš is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Ján Miertuš has authored 21 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Cell Biology. Recurrent topics in Ján Miertuš's work include Genomics and Rare Diseases (4 papers), Retinal Development and Disorders (4 papers) and Genetic Syndromes and Imprinting (3 papers). Ján Miertuš is often cited by papers focused on Genomics and Rare Diseases (4 papers), Retinal Development and Disorders (4 papers) and Genetic Syndromes and Imprinting (3 papers). Ján Miertuš collaborates with scholars based in Italy, Slovakia and United States. Ján Miertuš's co-authors include Matteo Bertelli, Stefano Paolacci, Domenico Pangallo, Sandro Michelini, Tommaso Beccari, Aysha Karim Kiani, K Dhuli, Elena Manara, Antonio Amoroso and Stanislav Miertuš and has published in prestigious journals such as Gene, Journal of Biotechnology and Human Genetics.

In The Last Decade

Ján Miertuš

19 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ján Miertuš Italy 6 117 60 52 51 38 21 283
Sungchae Hong South Korea 11 178 1.5× 29 0.5× 38 0.7× 40 0.8× 30 0.8× 20 440
Rachel Matar United Arab Emirates 9 189 1.6× 23 0.4× 33 0.6× 28 0.5× 18 0.5× 17 380
Dante Miranda Chile 12 199 1.7× 32 0.5× 41 0.8× 76 1.5× 18 0.5× 28 413
María Luisa Escobar Mexico 11 164 1.4× 23 0.4× 20 0.4× 30 0.6× 15 0.4× 25 366
Lourdes Millán-Pérez-Peña Mexico 8 201 1.7× 33 0.6× 22 0.4× 28 0.5× 11 0.3× 15 382
Xinnan Liu China 10 126 1.1× 16 0.3× 24 0.5× 21 0.4× 24 0.6× 19 322
Mirela Baus Lončar Croatia 10 114 1.0× 58 1.0× 23 0.4× 19 0.4× 65 1.7× 21 369
Anella Saviano Italy 16 168 1.4× 33 0.6× 31 0.6× 10 0.2× 26 0.7× 27 450
Canxia He China 12 323 2.8× 31 0.5× 22 0.4× 22 0.4× 31 0.8× 17 409
Adélie Dumont France 6 106 0.9× 19 0.3× 48 0.9× 11 0.2× 59 1.6× 7 253

Countries citing papers authored by Ján Miertuš

Since Specialization
Citations

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

Fields of papers citing papers by Ján Miertuš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Miertuš

This figure shows the co-authorship network connecting the top 25 collaborators of Ján Miertuš. A scholar is included among the top collaborators of Ján Miertuš 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 Ján Miertuš. Ján Miertuš 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.
Bonetti, G, Paolo Enrico Maltese, K Donato, et al.. (2025). GENETIC STUDY OF HGF-MET SIGNALING PATHWAY IN PRIMARY LYMPHEDEMA PATIENTS: SUPPORTING EVIDENCE FOR LOSS OF FUNCTION VARIANTS IN HGF. PubMed. 57(4). 198–210. 1 indexed citations
2.
Bonetti, Graziella, Gary T. Henehan, Richard E. Brown, et al.. (2024). Promoting International Scientific Cooperation: the Role of Scientific Societies. The EuroBiotech Journal. 8(3). 115–121.
3.
Miertuš, Ján, et al.. (2024). Anencephaly in Slovakia and Czech Republic: embryogenesis, risk factors, epidemiology and preventative approaches. Bratislavské lekárske listy/Bratislava medical journal. 125(7). 404–413.
4.
Cristofoli, Francesca, Paolo Enrico Maltese, G Bonetti, et al.. (2023). MAGI-ACMG: Algorithm for the Classification of Variants According to ACMG and ACGS Recommendations. Genes. 14(8). 1600–1600. 7 indexed citations
5.
Dhuli, K, Maria Chiara Medori, G Bonetti, et al.. (2023). Nutrigenomics: SNPs correlated to minerals' deficiencies.. PubMed. 174(Suppl 2(6)). 193–199. 3 indexed citations
6.
Cecchin, S, Stefano Paolacci, Ján Miertuš, et al.. (2022). PacMAGI: A pipeline including accurate indel detection for the analysis of PacBio sequencing data applied to RPE65. Gene. 832. 146554–146554. 3 indexed citations
7.
Cristofoli, Francesca, Giulia Guerri, Roberta Maia de Castro Romanelli, et al.. (2021). Variant Selection and Interpretation: An Example of Modified VarSome Classifier of ACMG Guidelines in the Diagnostic Setting. Genes. 12(12). 1885–1885. 9 indexed citations
8.
Gatticchi, Leonardo, Ján Miertuš, Paolo Enrico Maltese, et al.. (2021). Recessive multiple epiphyseal dysplasia and Stargardt disease in two sisters. Molecular Genetics & Genomic Medicine. 9(4). e1630–e1630. 3 indexed citations
9.
Miertuš, Ján, et al.. (2020). Expanding the phenotype of thrombocytopenia absent radius syndrome with hypospadias. Journal of Biotechnology. 311. 44–48. 4 indexed citations
10.
Gatticchi, Leonardo, Ján Miertuš, Paolo Enrico Maltese, et al.. (2020). A very early diagnosis of Alstrӧm syndrome by next generation sequencing. BMC Medical Genetics. 21(1). 173–173. 4 indexed citations
11.
Bertelli, Matteo, Aysha Karim Kiani, Stefano Paolacci, et al.. (2019). Hydroxytyrosol: A natural compound with promising pharmacological activities. Journal of Biotechnology. 309. 29–33. 187 indexed citations
12.
Frecer, Vladimı́r, Giancarlo Iarossi, Anna Paola Salvetti, et al.. (2019). Pathogenicity of new BEST1 variants identified in Italian patients with best vitelliform macular dystrophy assessed by computational structural biology. Journal of Translational Medicine. 17(1). 330–330. 2 indexed citations
13.
Guerri, Giulia, K Dhuli, Gian Maria Busetto, et al.. (2019). Syndromic infertility.. PubMed. 90(10-S). 75–82. 5 indexed citations
14.
Maltese, Paolo Enrico, et al.. (2018). Oguchi type I caused by a homozygous missense variation in the SAG gene. European Journal of Medical Genetics. 62(9). 103548–103548. 5 indexed citations
15.
Robbiano, Angela, Vladimı́r Frecer, Ján Miertuš, et al.. (2010). Modeling the effect of 3 missense AGXT mutations on dimerization of the AGT enzyme in primary hyperoxaluria type 1. Journal of Nephrology. 23(6). 667–676. 6 indexed citations
16.
Miertuš, Ján, M. Berrino, Francesca Bertinetto, et al.. (2007). Molecular aspects of a novel HLA‐A*02 allele (A*0297): the first HLA class I allele mutated at codon 232†. Tissue Antigens. 69(4). 342–347. 2 indexed citations
17.
Miertuš, Ján, Wiktor Borozdin, Vladimı́r Frecer, et al.. (2006). A SALL4 zinc finger missense mutation predicted to result in increased DNA binding affinity is associated with cranial midline defects and mild features of Okihiro syndrome. Human Genetics. 119(1-2). 154–161. 28 indexed citations
18.
Carrozzi, Marco, et al.. (2004). Supernumerary ring chromosome 8: Clinical and molecular cytogenetic characterization in a case report. American Journal of Medical Genetics Part A. 130A(3). 288–294. 11 indexed citations
19.
Press, BioChem, Vladimı́r Frecer, Ján Miertuš, et al.. (2004). Molecular Modeling of c2h2 Zinc Finger Mutation of Putative Human Transcription Factor SALL4. 1 indexed citations
20.
Miertuš, Ján & Antonio Amoroso. (2001). Microarray-based genetics of cardiac malformations.. PubMed. 2(8). 565–7. 1 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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