Hernán Dopazo

3.0k total citations
53 papers, 2.1k citations indexed

About

Hernán Dopazo is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Hernán Dopazo has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Genetics and 5 papers in Epidemiology. Recurrent topics in Hernán Dopazo's work include Genomics and Phylogenetic Studies (11 papers), Genetic diversity and population structure (11 papers) and Evolution and Genetic Dynamics (6 papers). Hernán Dopazo is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Genetic diversity and population structure (11 papers) and Evolution and Genetic Dynamics (6 papers). Hernán Dopazo collaborates with scholars based in Spain, Argentina and United States. Hernán Dopazo's co-authors include Joaquı́n Dopazo, Leonardo Arbiza, Jaime Huerta‐Cepas, François Serra, Toni Gabaldón, Tomas Fernández Gianotti, Carlos J. Pirola, Silvia Sookoian, Cristian Rohr and Gustavo Castaño and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Hernán Dopazo

51 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hernán Dopazo Spain 24 983 516 348 301 293 53 2.1k
Mary J. O’Connell United States 27 1.4k 1.5× 563 1.1× 430 1.2× 220 0.7× 227 0.8× 99 2.7k
Ann E. Sluder United States 28 1.4k 1.4× 389 0.8× 214 0.6× 380 1.3× 190 0.6× 53 3.3k
Stephen M. Beckstrom‐Sternberg United States 22 715 0.7× 541 1.0× 377 1.1× 357 1.2× 74 0.3× 33 1.7k
Jianguo Zhao China 29 2.1k 2.2× 706 1.4× 519 1.5× 145 0.5× 242 0.8× 133 3.2k
Leonid Brodsky Israel 23 1.1k 1.1× 327 0.6× 420 1.2× 201 0.7× 191 0.7× 48 2.0k
George Asimenos United States 3 1.2k 1.3× 787 1.5× 437 1.3× 106 0.4× 112 0.4× 4 2.2k
Marian Thomson United Kingdom 18 640 0.7× 743 1.4× 256 0.7× 205 0.7× 93 0.3× 32 1.7k
Richard Talbot United Kingdom 34 1.1k 1.1× 908 1.8× 477 1.4× 217 0.7× 202 0.7× 78 3.6k
Bernd Drescher Germany 13 1.2k 1.3× 432 0.8× 328 0.9× 230 0.8× 81 0.3× 36 2.1k

Countries citing papers authored by Hernán Dopazo

Since Specialization
Citations

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

Fields of papers citing papers by Hernán Dopazo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hernán Dopazo

This figure shows the co-authorship network connecting the top 25 collaborators of Hernán Dopazo. A scholar is included among the top collaborators of Hernán Dopazo 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 Hernán Dopazo. Hernán Dopazo 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.
Dily, François Le, Sergio A. Lambertucci, Hernán Dopazo, et al.. (2025). Chromosome‐Scale Genome Assembly Provides Insights Into Condor Evolution and Conservation. Molecular Ecology Resources. 25(7). e70000–e70000. 1 indexed citations
2.
Muzzio, Marina, et al.. (2024). Apolipoprotein E Polymorphisms in Andean Population of Jujuy, Argentina. Journal of Alzheimer s Disease Reports. 8(1). 95–99.
3.
Dopazo, Hernán, et al.. (2022). Transcriptional responses are oriented towards different components of the rearing environment in two Drosophila sibling species. BMC Genomics. 23(1). 515–515. 3 indexed citations
4.
Latorre-Estivalis, José Manuel, Francisca C. Almeida, Gina Pontes, et al.. (2021). Evolution of the Insect PPK Gene Family. Genome Biology and Evolution. 13(9). 17 indexed citations
5.
Sookoian, Silvia, Gustavo Castaño, Romina Scian, et al.. (2016). Serum aminotransferases in nonalcoholic fatty liver disease are a signature of liver metabolic perturbations at the amino acid and Krebs cycle level. American Journal of Clinical Nutrition. 103(2). 422–434. 90 indexed citations
6.
Pirola, Carlos J., Romina Scian, Tomas Fernández Gianotti, et al.. (2015). Epigenetic Modifications in the Biology of Nonalcoholic Fatty Liver Disease. Medicine. 94(36). e1480–e1480. 62 indexed citations
7.
Mensch, Julián, et al.. (2013). Positive Selection in Nucleoporins Challenges Constraints on Early Expressed Genes in Drosophila Development. Genome Biology and Evolution. 5(11). 2231–2241. 12 indexed citations
8.
Serra, François, Verónica Becher, & Hernán Dopazo. (2013). Neutral Theory Predicts the Relative Abundance and Diversity of Genetic Elements in a Broad Array of Eukaryotic Genomes. PLoS ONE. 8(6). e63915–e63915. 10 indexed citations
9.
Negredo, Anabel, Gustavo Palacios, Sonia Vázquez‐Morón, et al.. (2011). Discovery of an Ebolavirus-Like Filovirus in Europe. PLoS Pathogens. 7(10). e1002304–e1002304. 276 indexed citations
10.
Pascual‐García, Pau, et al.. (2011). SUS1 introns are required for efficient mRNA nuclear export in yeast. Nucleic Acids Research. 39(19). 8599–8611. 25 indexed citations
11.
Marigorta, Urko M., Óscar Lao, Ferrán Casals, et al.. (2011). Recent human evolution has shaped geographical differences in susceptibility to disease. BMC Genomics. 12(1). 55–55. 21 indexed citations
12.
Serra, François, Leonardo Arbiza, Joaquı́n Dopazo, & Hernán Dopazo. (2011). Natural Selection on Functional Modules, a Genome-Wide Analysis. PLoS Computational Biology. 7(3). e1001093–e1001093. 11 indexed citations
13.
Dopazo, Hernán. (2009). Genómica, bioinformática y evolución: Una alianza estratégica para la biología del nuevo siglo. Ciencia hoy. 19(113). 88–93.
14.
Capriotti, Emidio, Leonardo Arbiza, Rita Casadio, et al.. (2007). Use of estimated evolutionary strength at the codon level improves the prediction of disease-related protein mutations in humans. Human Mutation. 29(1). 198–204. 27 indexed citations
15.
Huerta‐Cepas, Jaime, Hernán Dopazo, Joaquı́n Dopazo, & Toni Gabaldón. (2007). The human phylome. Genome biology. 8(6). R109–R109. 121 indexed citations
16.
Al‐Shahrour, Fátima, Leonardo Arbiza, Hernán Dopazo, et al.. (2007). From genes to functional classes in the study of biological systems. BMC Bioinformatics. 8(1). 114–114. 98 indexed citations
17.
Rico, Daniel, Juan M. Vaquerizas, Hernán Dopazo, & Lisardo Boscá. (2007). Identification of conserved domains in the promoter regions of nitric oxide synthase 2: implications for the species-specific transcription and evolutionary differences. BMC Genomics. 8(1). 271–271. 16 indexed citations
18.
Tárraga, Joaquín, Ignacio Medina, Leonardo Arbiza, et al.. (2007). Phylemon: a suite of web tools for molecular evolution, phylogenetics and phylogenomics. Nucleic Acids Research. 35(Web Server). W38–W42. 43 indexed citations
19.
Conde, Lucía, Juan M. Vaquerizas, Hernán Dopazo, et al.. (2006). PupaSuite: finding functional single nucleotide polymorphisms for large-scale genotyping purposes. Nucleic Acids Research. 34(Web Server). W621–W625. 171 indexed citations
20.
Dopazo, Hernán & R.P.J. Perazzo. (2002). Mutual influence of learning and evolution. 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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