Pablo Librado

30.0k total citations · 2 hit papers
27 papers, 18.5k citations indexed

About

Pablo Librado is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Pablo Librado has authored 27 papers receiving a total of 18.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Pablo Librado's work include Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (12 papers) and Genetic and phenotypic traits in livestock (6 papers). Pablo Librado is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (12 papers) and Genetic and phenotypic traits in livestock (6 papers). Pablo Librado collaborates with scholars based in Spain, France and Denmark. Pablo Librado's co-authors include Julio Rozas, Alejandro Sánchez‐Gracia, Sara Guirao‐Rico, Sebastián E. Ramos‐Onsins, Ludovic Orlando, Filipe Garrett Vieira, Ahmed Alfarhan, Saleh A. Alquraishi, Khaled A. S. Al‐Rasheid and Luís Herrera‐Estrella and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Pablo Librado

25 papers receiving 18.2k citations

Hit Papers

DnaSP v5: a software for comprehensive analysis of DNA po... 2009 2026 2014 2020 2009 2017 4.0k 8.0k 12.0k

Peers

Pablo Librado
Daniel L. Ayres United States
Paul van der Mark Netherlands
Liang Liu United States
Brant C. Faircloth United States
Bret Larget United States
David L. Swofford United States
Amy Wilson Canada
Pablo Librado
Citations per year, relative to Pablo Librado Pablo Librado (= 1×) peers Sebastian Höhna

Countries citing papers authored by Pablo Librado

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Librado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Librado

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Librado. A scholar is included among the top collaborators of Pablo Librado 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 Pablo Librado. Pablo Librado 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.
Sandrock, Christoph, Eli Sellem, Michael Smith, et al.. (2025). BugBook: Genetics of insects as food and feed. Journal of Insects as Food and Feed. 11(18). 397–455.
2.
Macías‐Hernández, Nuria, Miquel A. Arnedo, Pablo Librado, et al.. (2025). How Did Evolution Halve Genome Size During an Oceanic Island Colonization?. Molecular Biology and Evolution. 42(9).
3.
Librado, Pablo & Julio Rozas. (2022). Reconstructing Gene Gains and Losses with BadiRate. Methods in molecular biology. 2569. 213–232. 1 indexed citations
4.
Librado, Pablo & Ludovic Orlando. (2022). Struct-f4: a Rcpp package for ancestry profile and population structure inference from f4-statistics. Bioinformatics. 38(7). 2070–2071. 3 indexed citations
5.
Librado, Pablo & Ludovic Orlando. (2020). Genomics and the Evolutionary History of Equids. Annual Review of Animal Biosciences. 9(1). 81–101. 19 indexed citations
6.
Librado, Pablo, Alejandro Sánchez‐Gracia, Francisco Carranza, et al.. (2020). Understanding the Early Evolutionary Stages of a Tandem Drosophilamelanogaster-Specific Gene Family: A Structural and Functional Population Study. Molecular Biology and Evolution. 37(9). 2584–2600. 12 indexed citations
7.
Renaud, Gabriel, Bent Petersen, Andaine Seguin‐Orlando, et al.. (2018). Improved de novo genomic assembly for the domestic donkey. Science Advances. 4(4). eaaq0392–eaaq0392. 34 indexed citations
8.
Librado, Pablo & Ludovic Orlando. (2018). Detecting Signatures of Positive Selection along Defined Branches of a Population Tree Using LSD. Molecular Biology and Evolution. 35(6). 1520–1535. 18 indexed citations
9.
Rozas, Julio, et al.. (2017). DnaSP 6: DNA Sequence Polymorphism Analysis of Large Data Sets. Molecular Biology and Evolution. 34(12). 3299–3302. 4702 indexed citations breakdown →
10.
Librado, Pablo & Julio Rozas. (2016). Weak Polygenic Selection Drives the Rapid Adaptation of the Chemosensory System: Lessons from the Upstream Regions of the Major Gene Families. Genome Biology and Evolution. 8(8). 2493–2504. 7 indexed citations
11.
Leonardi, Michela, Pablo Librado, Clio Der Sarkissian, et al.. (2016). Evolutionary Patterns and Processes: Lessons from Ancient DNA. Systematic Biology. 66(1). syw059–syw059. 62 indexed citations
12.
Librado, Pablo, Shu‐Dan Yeh, Edwin Solares, et al.. (2016). Rapid Functional and Sequence Differentiation of a Tandemly Repeated Species-Specific Multigene Family inDrosophila. Molecular Biology and Evolution. 34(1). 51–65. 11 indexed citations
13.
Librado, Pablo, Antoine Fages, Charleen Gaunitz, et al.. (2016). The Evolutionary Origin and Genetic Makeup of Domestic Horses. Genetics. 204(2). 423–434. 53 indexed citations
14.
Librado, Pablo, et al.. (2015). Adaptive selection and coevolution at the proteins of the Polycomb repressive complexes in Drosophila. Heredity. 116(2). 213–223. 3 indexed citations
15.
Carretero‐Paulet, Lorenzo, Tien-Hao Chang, Pablo Librado, et al.. (2015). Genome-Wide Analysis of Adaptive Molecular Evolution in the Carnivorous Plant Utricularia gibba. Genome Biology and Evolution. 7(2). 444–456. 27 indexed citations
16.
Carretero‐Paulet, Lorenzo, Pablo Librado, Enrique Ibarra‐Laclette, et al.. (2015). High Gene Family Turnover Rates and Gene Space Adaptation in the Compact Genome of the Carnivorous Plant Utricularia gibba. Molecular Biology and Evolution. 32(5). 1284–1295. 40 indexed citations
17.
Librado, Pablo, Filipe Garrett Vieira, Alejandro Sánchez‐Gracia, Sergios‐Orestis Kolokotronis, & Julio Rozas. (2014). Mycobacterial Phylogenomics: An Enhanced Method for Gene Turnover Analysis Reveals Uneven Levels of Gene Gain and Loss among Species and Gene Families. Genome Biology and Evolution. 6(6). 1454–1465. 14 indexed citations
18.
Librado, Pablo & Julio Rozas. (2013). Uncovering the Functional Constraints Underlying the Genomic Organization of the Odorant-Binding Protein Genes. Genome Biology and Evolution. 5(11). 2096–2108. 7 indexed citations
19.
Yeh, Shu‐Dan, Adriana Cordova, Francisco Carranza, et al.. (2012). Functional evidence that a recently evolved Drosophila sperm-specific gene boosts sperm competition. Proceedings of the National Academy of Sciences. 109(6). 2043–2048. 46 indexed citations
20.
Librado, Pablo & Julio Rozas. (2009). DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 25(11). 1451–1452. 13216 indexed citations breakdown →

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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