David Posada
Impact in
-
- Plant and animal studies
- Plant Diversity and Evolution
- Genetics top 0.01%
- Genetic diversity and population structure
Papers in
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- Genomics and Phylogenetic Studies 56
- RNA and protein synthesis mechanisms 12
- Genetics 70
- Genetic diversity and population structure 50
- Evolution and Genetic Dynamics 24
- Co-authors
- Keith A. Crandall (31 shared papers)Mark Clement (2 shared papers)Thomas R. Buckley (2 shared papers)Federico Abascal (5 shared papers)Rafael Zardoya (5 shared papers)Markus Pfenninger (4 shared papers)Darren P. Martin (6 shared papers)Diego Darriba (6 shared papers)
- Journals
- Bioinformatics (10 papers)Molecular Biology and Evolution (10 papers)Systematic Biology (8 papers)PLoS ONE (6 papers)Genetics (5 papers)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
David Posada
161 papers receiving 54.8k citations
David Posada's Hit Papers
Peers
Comparison fields: 5 of 210
- Ecology, Evolution, Behavior and Systematics 13.0k
- Genetics 18.5k
- Ecological Modeling 2.6k
- Ecology 15.4k
- Paleontology 3.1k
Countries citing papers authored by David Posada
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
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-authors
The 25 scholars most cited alongside David Posada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MODELTEST: testing the model of DNA substitution. Hit paper breakdown → | 1998 | 18326 |
| 2 | TCS: a computer program to estimate gene genealogies Hit paper breakdown → | 2000 | 8670 |
| 3 | Model Selection and Model Averaging in Phylogenetics: Advantages of Akaike Information Criterion and Bayesian Approaches Over Likelihood Ratio Tests Hit paper breakdown → | 2004 | 3271 |
| 4 | ProtTest: selection of best-fit models of protein evolution Hit paper breakdown → | 2005 | 2712 |
| 5 | ProtTest 3: fast selection of best-fit models of protein evolution Hit paper breakdown → | 2011 | 2139 |
| 6 | GeoDis: a program for the cladistic nested analysis of the geographical distribution of genetic haplotypes Hit paper breakdown → | 2000 | 1597 |
| 7 | RDP3: a flexible and fast computer program for analyzing recombination Hit paper breakdown → | 2010 | 1447 |
| 8 | PHYLOGEOGRAPHIC HISTORY OF THE LAND SNAIL CANDIDULA UNIFASCIATA (HELICELLINAE, STYLOMMATOPHORA): FRAGMENTATION, CORRIDOR MIGRATION, AND SECONDARY CONTACT Hit paper breakdown → | 2002 | 1343 |
| 9 | Intraspecific gene genealogies: trees grafting into networks Hit paper breakdown → | 2001 | 1254 |
| 10 | Evaluation of methods for detecting recombination from DNA sequences: Computer simulations Hit paper breakdown → | 2001 | 1241 |
| 11 | ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models Hit paper breakdown → | 2019 | 1226 |
| 12 | RDP2: recombination detection and analysis from sequence alignments Hit paper breakdown → | 2004 | 861 |
| 13 | Selecting the Best-Fit Model of Nucleotide Substitution Hit paper breakdown → | 2001 | 774 |
| 14 | Automated Phylogenetic Detection of Recombination Using a Genetic Algorithm Hit paper breakdown → | 2006 | 759 |
| 15 | A Modified Bootscan Algorithm for Automated Identification of Recombinant Sequences and Recombination Breakpoints Hit paper breakdown → | 2005 | 709 |
| 16 | GARD: a genetic algorithm for recombination detection Hit paper breakdown → | 2006 | 643 |
| 17 | An Exact Nonparametric Method for Inferring Mosaic Structure in Sequence Triplets Hit paper breakdown → | 2007 | 628 |
| 18 | TCS: estimating gene genealogies Hit paper breakdown → | 2002 | 607 |
| 19 | Selecting the Best-Fit Model of Nucleotide Substitution Hit paper breakdown → | 2001 | 519 |
| 20 | 2010 | 407 |
About David Posada
David Posada is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Infectious Diseases, having authored 164 papers that have together received 56.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (56 papers), Genetic diversity and population structure (50 papers), Evolution and Genetic Dynamics (24 papers), HIV Research and Treatment (17 papers), Cancer Genomics and Diagnostics (17 papers), Evolution and Paleontology Studies (15 papers), RNA and protein synthesis mechanisms (12 papers) and Chromosomal and Genetic Variations (11 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (13.0k citations), Genetics (18.5k citations), Ecological Modeling (2.6k citations), Ecology (15.4k citations) and Paleontology (3.1k citations). David Posada has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Keith A. Crandall, Mark Clement, Thomas R. Buckley, Federico Abascal, Rafael Zardoya, Markus Pfenninger, Darren P. Martin, Diego Darriba, Alan R. Templeton and Guillermo L. Taboada. Their work appears in journals such as Bioinformatics, Molecular Biology and Evolution, Systematic Biology, PLoS ONE and Genetics.
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.