Robert Lanfear

42.8k total citations · 8 hit papers
92 papers, 23.2k citations indexed

About

Robert Lanfear is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Robert Lanfear has authored 92 papers receiving a total of 23.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 45 papers in Genetics and 20 papers in Paleontology. Recurrent topics in Robert Lanfear's work include Genomics and Phylogenetic Studies (47 papers), Genetic diversity and population structure (37 papers) and Evolution and Paleontology Studies (20 papers). Robert Lanfear is often cited by papers focused on Genomics and Phylogenetic Studies (47 papers), Genetic diversity and population structure (37 papers) and Evolution and Paleontology Studies (20 papers). Robert Lanfear collaborates with scholars based in Australia, United States and United Kingdom. Robert Lanfear's co-authors include Brett Calcott, Bùi Quang Minh, Simon Y. W. Ho, Stéphane Guindon, Heiko A. Schmidt, Arndt von Haeseler, Dominik Schrempf, Michael D. Woodhams, Olga Chernomor and Paul B. Frandsen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Robert Lanfear

89 papers receiving 23.0k citations

Hit Papers

IQ-TREE 2: New Models and Efficient ... 2012 2026 2016 2021 2020 2012 2016 2015 2014 2.5k 5.0k 7.5k
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. IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era
    2020 7.9k citations Bùi Quang Minh, Heiko A. Schmidt et al. Molecular Biology and Evolution profile →
  2. PartitionFinder: Combined Selection of Partitioning Schemes and Substitution Models for Phylogenetic Analyses
    2012 4.8k citations Robert Lanfear et al. Molecular Biology and Evolution profile →
  3. PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses
    2016 4.1k citations Robert Lanfear, Paul B. Frandsen et al. Molecular Biology and Evolution profile →
  4. The Extent and Consequences of P-Hacking in Science
    2015 774 citations Luke Holman, Robert Lanfear et al. profile →
  5. Selecting optimal partitioning schemes for phylogenomic datasets
    2014 571 citations Robert Lanfear, David Kainer et al. profile →
  6. New Methods to Calculate Concordance Factors for Phylogenomic Datasets
    2020 411 citations Bùi Quang Minh, Matthew W. Hahn et al. Molecular Biology and Evolution profile →
  7. Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic
    2021 193 citations Yatish Turakhia, Bryan Thornlow et al. profile →
  8. Public Data Archiving in Ecology and Evolution: How Well Are We Doing?
    2015 191 citations Robert Lanfear et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Lanfear Australia 45 8.6k 6.7k 6.5k 5.2k 4.0k 92 23.2k
Daniel L. Ayres United States 7 8.3k 1.0× 7.3k 1.1× 5.2k 0.8× 6.3k 1.2× 6.0k 1.5× 9 23.9k
Simon Y. W. Ho Australia 63 6.7k 0.8× 6.5k 1.0× 8.5k 1.3× 5.3k 1.0× 2.8k 0.7× 226 22.1k
Sebastian Höhna Germany 22 8.4k 1.0× 7.4k 1.1× 5.3k 0.8× 6.1k 1.2× 5.7k 1.4× 47 23.0k
Liang Liu United States 32 10.7k 1.2× 8.0k 1.2× 7.3k 1.1× 6.4k 1.2× 6.4k 1.6× 69 25.9k
Bret Larget United States 24 9.6k 1.1× 7.9k 1.2× 6.1k 0.9× 6.8k 1.3× 6.8k 1.7× 41 25.4k
Maxim Teslenko Sweden 8 7.7k 0.9× 6.7k 1.0× 4.5k 0.7× 5.8k 1.1× 5.5k 1.3× 19 21.2k
Heiko A. Schmidt Austria 20 13.3k 1.5× 5.2k 0.8× 5.5k 0.8× 6.5k 1.3× 6.3k 1.6× 33 28.3k
David L. Swofford United States 34 7.9k 0.9× 6.6k 1.0× 7.3k 1.1× 5.0k 1.0× 5.0k 1.2× 55 21.7k
Korbinian Strimmer Germany 29 8.5k 1.0× 4.3k 0.6× 4.8k 0.7× 4.1k 0.8× 3.2k 0.8× 47 21.2k
Aaron E. Darling Australia 39 15.2k 1.8× 7.5k 1.1× 6.4k 1.0× 9.6k 1.8× 8.0k 2.0× 101 34.1k

Countries citing papers authored by Robert Lanfear

Since Specialization
Citations

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

Fields of papers citing papers by Robert Lanfear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Lanfear

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Lanfear. A scholar is included among the top collaborators of Robert Lanfear 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 Robert Lanfear. Robert Lanfear 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.
Frandsen, Paul B., et al.. (2025). Selecting a Window Size for Phylogenomic Analyses of Whole Genome Alignments Using AIC. Systematic Biology. 75(1). 100–114.
2.
Baños, Hector, Thomas K. F. Wong, Edward Susko, et al.. (2024). GTRpmix: A Linked General Time-Reversible Model for Profile Mixture Models. Molecular Biology and Evolution. 41(9). 5 indexed citations
3.
Wong, Thomas K. F., et al.. (2024). MAST: Phylogenetic Inference with Mixtures Across Sites and Trees. Systematic Biology. 73(2). 375–391. 7 indexed citations
4.
Dang, Cuong Cao, Bùi Quang Minh, Joanna Masel, et al.. (2022). nQMaker: Estimating Time Nonreversible Amino Acid Substitution Models. Systematic Biology. 71(5). 1110–1123. 19 indexed citations
5.
Lanfear, Robert, et al.. (2022). AliSim: A Fast and Versatile Phylogenetic Sequence Simulator for the Genomic Era. Molecular Biology and Evolution. 39(5). 38 indexed citations
6.
Lanfear, Robert, et al.. (2022). Updated site concordance factors minimize effects of homoplasy and taxon sampling. Bioinformatics. 39(1). 47 indexed citations
7.
Ye, Cheng, et al.. (2022). matOptimize: a parallel tree optimization method enables online phylogenetics for SARS-CoV-2. Bioinformatics. 38(15). 3734–3740. 20 indexed citations
8.
Barton, Kirston, et al.. (2021). sangeranalyseR: Simple and Interactive Processing of Sanger Sequencing Data in R. Genome Biology and Evolution. 13(3). 24 indexed citations
9.
Minh, Bùi Quang, Cuong Cao Dang, Lê Sỹ Vinh, & Robert Lanfear. (2021). QMaker: Fast and Accurate Method to Estimate Empirical Models of Protein Evolution. Systematic Biology. 70(5). 1046–1060. 57 indexed citations
10.
Maio, Nicola De, Conor R. Walker, Yatish Turakhia, et al.. (2021). Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2. Genome Biology and Evolution. 13(5). 80 indexed citations
11.
Minh, Bùi Quang, et al.. (2021). Assessing Confidence in Root Placement on Phylogenies: An Empirical Study Using Nonreversible Models for Mammals. Systematic Biology. 71(4). 959–972. 29 indexed citations
12.
Minh, Bùi Quang, Matthew W. Hahn, & Robert Lanfear. (2020). New Methods to Calculate Concordance Factors for Phylogenomic Datasets. Molecular Biology and Evolution. 37(9). 2727–2733. 411 indexed citations breakdown →
13.
Minh, Bùi Quang, Heiko A. Schmidt, Olga Chernomor, et al.. (2020). IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era. Molecular Biology and Evolution. 37(5). 1530–1534. 7881 indexed citations breakdown →
14.
Padovan, Amanda, David Kainer, Carsten Külheim, et al.. (2020). A phylogenomic approach reveals a low somatic mutation rate in a long-lived plant. Proceedings of the Royal Society B Biological Sciences. 287(1922). 20192364–20192364. 38 indexed citations
15.
Minh, Bùi Quang, et al.. (2019). The Prevalence and Impact of Model Violations in Phylogenetic Analysis. Genome Biology and Evolution. 11(12). 3341–3352. 109 indexed citations
16.
Schalamun, Miriam, David Kainer, David Eccles, et al.. (2018). Harnessing the MinION: An example of how to establish long‐read sequencing in a laboratory using challenging plant tissue from Eucalyptus pauciflora. Molecular Ecology Resources. 19(1). 77–89. 51 indexed citations
17.
18.
Duchêne, Sebastián & Robert Lanfear. (2015). Phylogenetic uncertainty can bias the number of evolutionary transitions estimated from ancestral state reconstruction methods. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 324(6). 517–524. 34 indexed citations
19.
Holman, Luke, Robert Lanfear, & Patrizia d’Ettorre. (2013). The evolution of queen pheromones in the ant genus L asius . Journal of Evolutionary Biology. 26(7). 1549–1558. 56 indexed citations
20.
Lanfear, Robert, Jessica A. Thomas, John J. Welch, Thomas Brey, & Lindell Bromham. (2007). Metabolic rate does not calibrate the molecular clock. Proceedings of the National Academy of Sciences. 104(39). 15388–15393. 84 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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