Eugènia Monrós

3.8k total citations
22 papers, 725 citations indexed

About

Eugènia Monrós is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Eugènia Monrós has authored 22 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 7 papers in Genetics. Recurrent topics in Eugènia Monrós's work include Genetic Neurodegenerative Diseases (11 papers), Mitochondrial Function and Pathology (9 papers) and DNA Repair Mechanisms (6 papers). Eugènia Monrós is often cited by papers focused on Genetic Neurodegenerative Diseases (11 papers), Mitochondrial Function and Pathology (9 papers) and DNA Repair Mechanisms (6 papers). Eugènia Monrós collaborates with scholars based in Spain, France and United States. Eugènia Monrós's co-authors include Rafael Artuch, Catrina Colomé, Francesc Palau, María Dolores Moltó, Joaquı́n Cañizares, Mercè Pineda, Juan J. Vílchez, José Blanca, Pilar Póo and F. Prieto and has published in prestigious journals such as The American Journal of Human Genetics, Gene and Clinical Endocrinology.

In The Last Decade

Eugènia Monrós

22 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugènia Monrós Spain 11 473 328 184 99 89 22 725
R. Gaggero Italy 16 162 0.3× 153 0.5× 227 1.2× 62 0.6× 94 1.1× 33 715
Cíntia Barros Santos-Rebouças Brazil 17 378 0.8× 76 0.2× 311 1.7× 162 1.6× 80 0.9× 64 767
Tena Varvil United States 9 198 0.4× 217 0.7× 174 0.9× 85 0.9× 53 0.6× 10 586
Hanna Mierzewska Poland 15 444 0.9× 105 0.3× 127 0.7× 98 1.0× 16 0.2× 57 728
Nina Barišić Croatia 17 396 0.8× 261 0.8× 106 0.6× 161 1.6× 14 0.2× 61 860
Nathalie Van der Aa Belgium 19 412 0.9× 84 0.3× 388 2.1× 25 0.3× 92 1.0× 26 809
Michelle Demos Canada 13 270 0.6× 97 0.3× 145 0.8× 47 0.5× 23 0.3× 23 482
F Ballesta Spain 14 246 0.5× 66 0.2× 249 1.4× 37 0.4× 47 0.5× 28 547
A. Papadimitriou Greece 14 570 1.2× 92 0.3× 66 0.4× 112 1.1× 16 0.2× 21 745
Roland Spiegel Switzerland 12 654 1.4× 595 1.8× 140 0.8× 295 3.0× 10 0.1× 28 950

Countries citing papers authored by Eugènia Monrós

Since Specialization
Citations

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

Fields of papers citing papers by Eugènia Monrós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugènia Monrós

This figure shows the co-authorship network connecting the top 25 collaborators of Eugènia Monrós. A scholar is included among the top collaborators of Eugènia Monrós 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 Eugènia Monrós. Eugènia Monrós 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.
Ragione, Floriana Della, А. А. Тиунова, Marcella Vacca, et al.. (2006). The X-linked methyl binding protein gene Kaiso is highly expressed in brain but is not mutated in Rett syndrome patients. Gene. 373. 83–89. 9 indexed citations
2.
Casano, Paula, Abel López‐Bermejo, José Manuel Fernández‐Real, et al.. (2006). The tumour necrosis factor (TNF)‐α−308GA promoter polymorphism is related to prenatal growth and postnatal insulin resistance. Clinical Endocrinology. 64(2). 129–135. 9 indexed citations
3.
Sánchez-García, Jorge F., et al.. (2005). Multiple mutation analysis of the cystic fibrosis gene in single cells. Molecular Human Reproduction. 11(6). 463–468. 6 indexed citations
4.
Okamoto, Nobuhiko, Rolando F. Del Maestro, Eugènia Monrós, et al.. (2004). Hydrocephalus and Hirschsprung’s disease with a mutation of L1CAM. Journal of Human Genetics. 49(6). 334–337. 47 indexed citations
5.
Artuch, Rafael, et al.. (2004). Cerebrospinal Fluid Concentrations of Idebenone in Friedreich Ataxia Patients. Neuropediatrics. 35(2). 95–98. 13 indexed citations
6.
Ballestar, Esteban, Santiago Ropero, Miguel Alaminos, et al.. (2004). The impact of MECP2 mutations in the expression patterns of Rett syndrome patients. Human Genetics. 116(1-2). 91–104. 57 indexed citations
7.
Mitui, Midori, Colin Campbell, Xia Sun, et al.. (2003). Independent mutational events are rare in the ATM gene: Haplotype prescreening enhances mutation detection rate. Human Mutation. 22(1). 43–50. 49 indexed citations
8.
Artuch, Rafael, et al.. (2002). Friedreich's Ataxia: Idebenone Treatment in Early Stage Patients. Neuropediatrics. 33(4). 190–193. 94 indexed citations
9.
Armstrong, Judith, M. Pineda, Esther Geán, et al.. (2002). Prenatal Diagnosis in Rett Syndrome. Fetal Diagnosis and Therapy. 17(4). 200–204. 2 indexed citations
10.
Monrós, Eugènia, et al.. (2001). Rett syndrome in Spain: mutation analysis and clinical correlations. Brain and Development. 23. S251–S253. 66 indexed citations
11.
Pineda, Merçè, et al.. (2000). Mutation analysis of 16S rRNA in patients with Rett syndrome. Pediatric Neurology. 23(1). 85–87. 4 indexed citations
12.
Castro, Mirna, Javier Garcı́a-Planells, Eugènia Monrós, et al.. (2000). Genotype and phenotype analysis of Friedreich's ataxia compound heterozygous patients. Human Genetics. 106(1). 86–92. 46 indexed citations
13.
Vilaseca, Marina, Eugènia Monrós, Rafael Artuch, et al.. (2000). Anti-Epileptic drug treatment in children: Hyperhomocysteinaemia, B-Vitamins and the 677C→T Mutation of the Methylenetetrahydrofolate Reductase Gene. European Journal of Paediatric Neurology. 4(6). 269–277. 51 indexed citations
14.
Cañizares, Joaquı́n, José Blanca, Juan A. Navarro, et al.. (2000). dfh is a Drosophila homolog of the Friedreich's ataxia disease gene. Gene. 256(1-2). 35–42. 31 indexed citations
15.
Monrós, Eugènia, María Dolores Moltó, Francisco Martı́nez, et al.. (1997). Phenotype Correlation and Intergenerational Dynamics of the Friedreich Ataxia GAA Trinucleotide Repeat. The American Journal of Human Genetics. 61(1). 101–110. 131 indexed citations
16.
Gil, Ángel, et al.. (1997). Study of a trimeric tandem repeat locus (SBMA) in the Basque population: comparison with other populations.. PubMed. 11(1). 61–72. 8 indexed citations
17.
Monrós, Eugènia, et al.. (1996). A family segregating a Friedreich ataxia phenotype that is not linked to the FRDA locus. Human Genetics. 97(6). 824–828. 9 indexed citations
18.
Monrós, Eugènia, Joaquı́n Cañizares, María Dolores Moltó, et al.. (1996). Evidence for a Common Origin ofMost Friedreich AtaxiaChromosomes in the SpanishPopulation. European Journal of Human Genetics. 4(4). 191–198. 10 indexed citations
19.
Monrós, Eugènia, et al.. (1995). Prenatal diagnosis of friedreich ataxia: Improved accuracy by using new genetic flanking markers. Prenatal Diagnosis. 15(6). 551–554. 8 indexed citations
20.
Moltó, María Dolores, Juan J. Vílchez, Massimo Pandolfo, et al.. (1994). Mapping of Friedreich's AtaxiaLocus by Identification ofRecombination Events in PatientsHomozygous by Descent. European Journal of Human Genetics. 2(4). 291–299. 8 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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