David Posada

97.5k total citations · 20 hit papers
164 papers, 56.6k citations indexed

About

David Posada is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, David Posada has authored 164 papers receiving a total of 56.6k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 70 papers in Genetics and 21 papers in Ecology. Recurrent topics in David Posada's work include Genomics and Phylogenetic Studies (56 papers), Genetic diversity and population structure (50 papers) and Evolution and Genetic Dynamics (24 papers). David Posada is often cited by papers focused on Genomics and Phylogenetic Studies (56 papers), Genetic diversity and population structure (50 papers) and Evolution and Genetic Dynamics (24 papers). David Posada collaborates with scholars based in Spain, United States and Portugal. David Posada's co-authors include Keith A. Crandall, Mark Clement, Thomas R. Buckley, Rafael Zardoya, Federico Abascal, Markus Pfenninger, Darren P. Martin, Diego Darriba, Alan R. Templeton and Guillermo L. Taboada and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David Posada

161 papers receiving 54.8k citations

Hit Papers

MODELTEST: testing the model of DNA substitution. 1998 2026 2007 2016 1998 2000 2004 2005 2011 5.0k 10.0k 15.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MODELTEST: testing the model of DNA substitution.
    1998 18.3k citations David Posada, Keith A. Crandall Bioinformatics profile →
  2. TCS: a computer program to estimate gene genealogies
    2000 8.7k citations David Posada, Keith A. Crandall et al. profile →
  3. Model Selection and Model Averaging in Phylogenetics: Advantages of Akaike Information Criterion and Bayesian Approaches Over Likelihood Ratio Tests
    2004 3.3k citations David Posada, Thomas R. Buckley profile →
  4. ProtTest: selection of best-fit models of protein evolution
    2005 2.7k citations David Posada et al. profile →
  5. ProtTest 3: fast selection of best-fit models of protein evolution
    2011 2.1k citations Diego Darriba, David Posada et al. Bioinformatics profile →
  6. GeoDis: a program for the cladistic nested analysis of the geographical distribution of genetic haplotypes
    2000 1.6k citations David Posada, Keith A. Crandall et al. profile →
  7. RDP3: a flexible and fast computer program for analyzing recombination
    2010 1.4k citations Darren P. Martin, Philippe Lemey et al. Bioinformatics profile →
  8. PHYLOGEOGRAPHIC HISTORY OF THE LAND SNAIL CANDIDULA UNIFASCIATA (HELICELLINAE, STYLOMMATOPHORA): FRAGMENTATION, CORRIDOR MIGRATION, AND SECONDARY CONTACT
    2002 1.3k citations David Posada et al. profile →
  9. Intraspecific gene genealogies: trees grafting into networks
    2001 1.3k citations David Posada, Keith A. Crandall profile →
  10. Evaluation of methods for detecting recombination from DNA sequences: Computer simulations
    2001 1.2k citations David Posada, Keith A. Crandall profile →
  11. ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
    2019 1.2k citations Diego Darriba, David Posada et al. Molecular Biology and Evolution profile →
  12. RDP2: recombination detection and analysis from sequence alignments
    2004 861 citations Darren P. Martin, Carolyn Williamson et al. Bioinformatics profile →
  13. Selecting the Best-Fit Model of Nucleotide Substitution
    2001 774 citations David Posada, Keith A. Crandall profile →
  14. Automated Phylogenetic Detection of Recombination Using a Genetic Algorithm
    2006 759 citations David Posada et al. Molecular Biology and Evolution profile →
  15. A Modified Bootscan Algorithm for Automated Identification of Recombinant Sequences and Recombination Breakpoints
    2005 709 citations Darren P. Martin, David Posada et al. AIDS Research and Human Retroviruses profile →
  16. GARD: a genetic algorithm for recombination detection
    2006 643 citations David Posada et al. Bioinformatics profile →
  17. An Exact Nonparametric Method for Inferring Mosaic Structure in Sequence Triplets
    2007 628 citations David Posada et al. Genetics profile →
  18. TCS: estimating gene genealogies
    2002 607 citations David Posada, Keith A. Crandall et al. profile →
  19. Selecting the Best-Fit Model of Nucleotide Substitution
    2001 519 citations David Posada, Keith A. Crandall profile →
  20. The early spread and epidemic ignition of HIV-1 in human populations
    2014 406 citations Nuno R. Faria, Andrew Rambaut et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Posada Spain 55 18.9k 18.5k 15.4k 13.0k 12.5k 164 56.6k
Keith A. Crandall United States 77 16.9k 0.9× 20.9k 1.1× 19.6k 1.3× 13.2k 1.0× 9.0k 0.7× 377 57.3k
Marc A. Suchard United States 78 18.9k 1.0× 17.0k 0.9× 12.6k 0.8× 15.6k 1.2× 10.9k 0.9× 300 64.7k
Alexandros Stamatakis Germany 53 28.6k 1.5× 13.6k 0.7× 16.2k 1.1× 15.9k 1.2× 15.3k 1.2× 176 63.3k
Alexei J. Drummond New Zealand 60 21.8k 1.2× 23.4k 1.3× 15.5k 1.0× 18.9k 1.5× 10.5k 0.8× 108 70.3k
Arndt von Haeseler Austria 58 28.4k 1.5× 14.1k 0.8× 13.8k 0.9× 12.4k 1.0× 13.2k 1.1× 192 61.8k
Bùi Quang Minh Austria 32 22.1k 1.2× 10.8k 0.6× 12.9k 0.8× 11.9k 0.9× 11.7k 0.9× 78 52.1k
Kazutaka Katoh Japan 31 29.3k 1.6× 9.8k 0.5× 13.5k 0.9× 12.6k 1.0× 17.4k 1.4× 50 62.1k
Andrew Rambaut United Kingdom 93 19.3k 1.0× 20.1k 1.1× 11.9k 0.8× 15.4k 1.2× 9.0k 0.7× 225 72.1k
Fredrik Ronquist Sweden 55 29.6k 1.6× 21.4k 1.2× 22.2k 1.4× 29.7k 2.3× 20.1k 1.6× 123 85.8k
Laurent Excoffier Switzerland 85 18.0k 1.0× 45.6k 2.5× 19.0k 1.2× 13.4k 1.0× 10.7k 0.9× 185 70.9k

Countries citing papers authored by David Posada

Since Specialization
Citations

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

Fields of papers citing papers by David Posada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Posada

This figure shows the co-authorship network connecting the top 25 collaborators of David Posada. A scholar is included among the top collaborators of David Posada 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 David Posada. David Posada 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.
Gallego‐García, Pilar, Samuel L. Hong, Simon Dellicour, et al.. (2025). International importance and spread of SARS-CoV-2 variants Alpha, Delta, and Omicron BA.1 into Spain. Communications Medicine. 5(1). 209–209.
2.
Estévez‐Gómez, Nuria, Roberto Piñeiro, Laura Muinelo‐Romay, et al.. (2025). Genomic diversity and BCL9L mutational status in circulating tumor cells predict overall survival in metastatic colorectal cancer. Cellular Oncology. 48(6). 1809–1820.
3.
Estévez‐Gómez, Nuria, et al.. (2025). Differential performance of strategies for single-cell whole-genome amplification. Cell Reports Methods. 5(4). 101025–101025. 1 indexed citations
4.
Liu, Yunxi, Nicolae Sapoval, Pilar Gallego‐García, et al.. (2024). Crykey: Rapid identification of SARS-CoV-2 cryptic mutations in wastewater. Nature Communications. 15(1). 4545–4545. 4 indexed citations
5.
Trovão, Nídia S., Pilar Gallego‐García, Yunxi Liu, et al.. (2023). Evolutionary and spatiotemporal analyses reveal multiple introductions and cryptic transmission of SARS-CoV-2 VOC/VOI in Malta. Microbiology Spectrum. 11(6). e0153923–e0153923. 3 indexed citations
6.
Rocha, Sara, et al.. (2023). Transcriptomic landscape of the kleptoplastic sea slug Elysia viridis. Journal of Molluscan Studies. 89(1). 1 indexed citations
7.
Gallego‐García, Pilar, Nair Varela, Nuria Estévez‐Gómez, et al.. (2022). Limited genomic reconstruction of SARS-CoV-2 transmission history within local epidemiological clusters. Virus Evolution. 8(1). veac008–veac008. 7 indexed citations
8.
Sapoval, Nicolae, Medhat Mahmoud, Michael D. Jochum, et al.. (2021). SARS-CoV-2 genomic diversity and the implications for qRT-PCR diagnostics and transmission. Genome Research. 31(4). 635–644. 29 indexed citations
9.
Darriba, Diego, David Posada, Alexey M. Kozlov, et al.. (2019). ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models. Molecular Biology and Evolution. 37(1). 291–294. 1226 indexed citations breakdown →
10.
Ren, Minglei, Xiaoyuan Feng, Yongjie Huang, et al.. (2019). Phylogenomics suggests oxygen availability as a driving force in Thaumarchaeota evolution. The ISME Journal. 13(9). 2150–2161. 91 indexed citations
11.
Escalona, Merly, Sara Rocha, & David Posada. (2018). NGSphy: phylogenomic simulation of next-generation sequencing data. Bioinformatics. 34(14). 2506–2507. 5 indexed citations
12.
Faria, Nuno R., Andrew Rambaut, Marc A. Suchard, et al.. (2014). The early spread and epidemic ignition of HIV-1 in human populations. Science. 346(6205). 56–61. 406 indexed citations breakdown →
13.
Moreira, Rebeca, Pablo Balseiro, Alex Romero, et al.. (2011). Gene expression analysis of clams Ruditapes philippinarum and Ruditapes decussatus following bacterial infection yields molecular insights into pathogen resistance and immunity. Developmental & Comparative Immunology. 36(1). 140–149. 50 indexed citations
14.
Arenas, Miguel & David Posada. (2010). The Effect of Recombination on the Reconstruction of Ancestral Sequences. Genetics. 184(4). 1133–1139. 71 indexed citations
15.
Pérez‐Losada, Marcos, David Posada, Miguel Arenas, et al.. (2009). Ethnic differences in the adaptation rate of HIV gp120 from a vaccine trial. Retrovirology. 6(1). 67–67. 19 indexed citations
16.
Jobes, David V., Faruk Sinangil, Marcos Pérez‐Losada, et al.. (2006). Longitudinal Population Analysis of Dual Infection with Recombination in Two Strains of HIV Type 1 Subtype B in an Individual from a Phase 3 HIV Vaccine Efficacy Trial. AIDS Research and Human Retroviruses. 22(10). 968–978. 8 indexed citations
17.
Posada, David. (2006). ModelTest Server: a web-based tool for the statistical selection of models of nucleotide substitution online. Nucleic Acids Research. 34(Web Server). W700–W703. 284 indexed citations
18.
Martin, Darren P., David Posada, Keith A. Crandall, & Carolyn Williamson. (2005). A Modified Bootscan Algorithm for Automated Identification of Recombinant Sequences and Recombination Breakpoints. AIDS Research and Human Retroviruses. 21(1). 98–102. 709 indexed citations breakdown →
19.
Tsaousis, Anastasios D., Darren P. Martin, Emmanuel D. Ladoukakis, David Posada, & E. Zouros. (2005). Widespread Recombination in Published Animal mtDNA Sequences1. Molecular Biology and Evolution. 22(4). 925–933. 143 indexed citations
20.
Posada, David & Thomas R. Buckley. (2004). Model selection and model averaging in phylogenetics: Advantages of the AIC and Bayesian approaches over likelihood ratio tests. 37 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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