David Posada
- Genetics top 0.01%
- Genetic diversity and population structure 50
- Evolution and Genetic Dynamics 24
- Ecological Modeling top 0.1%
- Ecology top 0.01%
- Paleontology top 0.1%
- Evolution and Paleontology Studies 15
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- Genomics and Phylogenetic Studies 56
- RNA and protein synthesis mechanisms 12
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- Cancer Genomics and Diagnostics 17
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- HIV Research and Treatment 17
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- Chromosomal and Genetic Variations 11
- Co-authors
- Keith A. CrandallMark ClementThomas R. BuckleyFederico AbascalRafael ZardoyaMarkus PfenningerDarren P. MartinDiego Darriba
- Journals
- Bioinformatics (10 papers)Molecular Biology and Evolution (10 papers)Systematic Biology (8 papers)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
David Posada
161 papers receiving 54.8k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 29 | |
| 8 | ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Modelsbreakdown → | 2019 | 1226 |
| 9 | 2019 | 91 | |
| 10 | 2018 | 5 | |
| 11 | The early spread and epidemic ignition of HIV-1 in human populationsbreakdown → | 2014 | 406 |
| 12 | 2011 | 50 | |
| 13 | 2010 | 71 | |
| 14 | 2009 | 19 | |
| 15 | 2006 | 8 | |
| 16 | 2006 | 284 | |
| 17 | 2006 | 31 | |
| 18 | 2005 | 143 | |
| 19 | A Modified Bootscan Algorithm for Automated Identification of Recombinant Sequences and Recombination Breakpointsbreakdown → | 2005 | 709 |
| 20 | 2001 | 79 |
About David Posada
David Posada is a scholar working on Virology, Genetics and Paleontology, 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), Cancer Genomics and Diagnostics (17 papers), HIV Research and Treatment (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) and Ecological Modeling (2.6k 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.