David Posada

98.2k citations
178 papers · 58.8k · 21 hit papers · h-index 58

Impact in

Papers in

    • Genomics and Phylogenetic Studies 57
    • RNA and protein synthesis mechanisms 13
    • Genetic diversity and population structure 48
    • Evolution and Genetic Dynamics 25
    • Genetic and phenotypic traits in livestock 10

David Posada

174 papers receiving 56.8k citations

David Posada's Hit Papers

ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models 2019 · 1.3k citations
1.3k0+8+16Years since publication10002.0k3.0k

Peers

David Posada
Comparison fields: 5 of 208
  • Genetics 18.2k
  • Ecology, Evolution, Behavior and Systematics 12.7k
  • Ecological Modeling 2.5k
  • Ecology 15.2k
  • Insect Science 5.1k
Replace Keith A. Crandall with:
Keith A. Crandall United States
Marc A. Suchard United States
Arndt von Haeseler Austria
Julie Thompson France
Alexei J. Drummond New Zealand
Alexandros Stamatakis Germany
Glen Stecher United States
Bùi Quang Minh Austria
Andrew Rambaut United Kingdom
Kazutaka Katoh Japan
David Posada relative to Keith A. Crandall United States Keith A. Crandall's profile →
Citations per field
00.5×1.5×
Keith A. Crandall · 1×
Citations per year

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-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.

Border = papers with David Posada Line = papers co-authored together David Posada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MODELTEST: testing the model of DNA substitution.
Hit paper breakdown →
199818495
2
TCS: a computer program to estimate gene genealogies
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20008771
3
Model Selection and Model Averaging in Phylogenetics: Advantages of Akaike Information Criterion and Bayesian Approaches Over Likelihood Ratio Tests
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20043343
4
ProtTest: selection of best-fit models of protein evolution
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20052733
5
ProtTest 3: fast selection of best-fit models of protein evolution
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20112175
6
GeoDis: a program for the cladistic nested analysis of the geographical distribution of genetic haplotypes
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20001606
7
RDP3: a flexible and fast computer program for analyzing recombination
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20101463
8
PHYLOGEOGRAPHIC HISTORY OF THE LAND SNAIL CANDIDULA UNIFASCIATA (HELICELLINAE, STYLOMMATOPHORA): FRAGMENTATION, CORRIDOR MIGRATION, AND SECONDARY CONTACT
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20021361
9
Intraspecific gene genealogies: trees grafting into networks
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20011320
10
ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models
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20191303
11
Evaluation of methods for detecting recombination from DNA sequences: Computer simulations
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20011267
12
RDP2: recombination detection and analysis from sequence alignments
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2004878
13
Selecting the Best-Fit Model of Nucleotide Substitution
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2001787
14
Automated Phylogenetic Detection of Recombination Using a Genetic Algorithm
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2006776
15
ProtTest-HPC: Fast Selection of Best-Fit Models of Protein Evolution
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2011776
16
A Modified Bootscan Algorithm for Automated Identification of Recombinant Sequences and Recombination Breakpoints
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2005722
17
GARD: a genetic algorithm for recombination detection
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2006665
18
An Exact Nonparametric Method for Inferring Mosaic Structure in Sequence Triplets
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2007637
19
TCS: estimating gene genealogies
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2002631
20
Selecting the Best-Fit Model of Nucleotide Substitution
Hit paper breakdown →
2001529

About David Posada

David Posada is a scholar working on Molecular Biology, Genetics, Ecology, Virology and Infectious Diseases, having authored 178 papers that have together received 58.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (57 papers), Genetic diversity and population structure (48 papers), Evolution and Genetic Dynamics (25 papers), HIV Research and Treatment (18 papers), Cancer Genomics and Diagnostics (14 papers), Evolution and Paleontology Studies (13 papers), RNA and protein synthesis mechanisms (13 papers) and Genetic and phenotypic traits in livestock (10 papers). The work is most often cited by research in Genetics (18.2k citations), Ecology, Evolution, Behavior and Systematics (12.7k citations), Ecological Modeling (2.5k citations), Ecology (15.2k citations) and Insect Science (5.1k 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, Diego Darriba, Rafael Zardoya, Federico Abascal, Markus Pfenninger, Darren P. Martin, Guillermo L. Taboada and Ramón Doallo. 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.

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