Charley McCarthy

711 total citations · 1 hit paper
19 papers, 406 citations indexed

About

Charley McCarthy is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Charley McCarthy has authored 19 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Ecology. Recurrent topics in Charley McCarthy's work include Genomics and Phylogenetic Studies (8 papers), Yeasts and Rust Fungi Studies (4 papers) and Protist diversity and phylogeny (3 papers). Charley McCarthy is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Yeasts and Rust Fungi Studies (4 papers) and Protist diversity and phylogeny (3 papers). Charley McCarthy collaborates with scholars based in Ireland, United Kingdom and Canada. Charley McCarthy's co-authors include David A. Fitzpatrick, Mary J. O’Connell, Fiona Walsh, Jamie McGowan, E. B. Mitchell, Peter O. Mulhair, Christopher J. Creevey, Karen Siu-Ting, Juan Fontana and Laura Eme and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Charley McCarthy

19 papers receiving 404 citations

Hit Papers

A robustly rooted tree of eukaryotes reveals their excava... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charley McCarthy Ireland 14 207 162 79 49 35 19 406
Timon T. Wyatt Netherlands 11 135 0.7× 250 1.5× 132 1.7× 56 1.1× 83 2.4× 12 495
David Starns United Kingdom 6 178 0.9× 140 0.9× 73 0.9× 31 0.6× 39 1.1× 11 459
Maria Dynowska Poland 10 90 0.4× 171 1.1× 101 1.3× 62 1.3× 20 0.6× 57 345
Heiko T. Kiesewalter Denmark 8 241 1.2× 170 1.0× 45 0.6× 136 2.8× 24 0.7× 10 436
Christopher M. Field Switzerland 9 255 1.2× 360 2.2× 49 0.6× 111 2.3× 13 0.4× 12 648
Fabrizia Gionechetti Italy 9 138 0.7× 104 0.6× 35 0.4× 99 2.0× 22 0.6× 12 373
Laura Sandor United States 11 298 1.4× 312 1.9× 114 1.4× 28 0.6× 68 1.9× 13 544
Susanne von Bargen Germany 12 55 0.3× 521 3.2× 120 1.5× 32 0.7× 16 0.5× 52 561
Norma M. Morella United States 10 126 0.6× 232 1.4× 42 0.5× 166 3.4× 17 0.5× 12 453
Mariana Reyes‐Prieto Spain 10 155 0.7× 73 0.5× 12 0.2× 52 1.1× 23 0.7× 21 312

Countries citing papers authored by Charley McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Charley McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charley McCarthy

This figure shows the co-authorship network connecting the top 25 collaborators of Charley McCarthy. A scholar is included among the top collaborators of Charley McCarthy 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 Charley McCarthy. Charley McCarthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
McCarthy, Charley, Purificación López‐García, Edward Susko, et al.. (2025). Phylogenomic analyses indicate the archaeal superphylum DPANN originated from free-living euryarchaeal-like ancestors. Nature Microbiology. 10(7). 1593–1604. 1 indexed citations
2.
Eme, Laura, Hector Baños, Charley McCarthy, et al.. (2025). A robustly rooted tree of eukaryotes reveals their excavate ancestry. Nature. 640(8060). 974–981. 23 indexed citations breakdown →
3.
Gutiérrez‐Preciado, Ana, Álvaro Rodríguez del Río, Charley McCarthy, et al.. (2024). Expanded phylogeny of extremely halophilic archaea shows multiple independent adaptations to hypersaline environments. Nature Microbiology. 9(4). 964–975. 17 indexed citations
4.
McCarthy, Charley, Peter O. Mulhair, Karen Siu-Ting, Christopher J. Creevey, & Mary J. O’Connell. (2022). Improving Orthologous Signal and Model Fit in Datasets Addressing the Root of the Animal Phylogeny. Molecular Biology and Evolution. 40(1). 9 indexed citations
5.
Mulhair, Peter O., Charley McCarthy, Karen Siu-Ting, Christopher J. Creevey, & Mary J. O’Connell. (2022). Filtering artifactual signal increases support for Xenacoelomorpha and Ambulacraria sister relationship in the animal tree of life. Current Biology. 32(23). 5180–5188.e3. 17 indexed citations
6.
Norris, Karl, Charley McCarthy, Philip A. Lewis, et al.. (2021). Ribosome heterogeneity in Drosophila melanogaster gonads through paralog-switching. Nucleic Acids Research. 50(4). 2240–2257. 35 indexed citations
7.
Mulhair, Peter O., Charley McCarthy, Karen Siu-Ting, Christopher J. Creevey, & Mary J. O’Connell. (2021). Enriching for Orthologs Increases Support for Xenacoelomorpha and Ambulacraria Sister Relationship. SSRN Electronic Journal. 2 indexed citations
8.
McGowan, Jamie, et al.. (2019). Proteome and allergenome of the European house dust mite Dermatophagoides pteronyssinus. PLoS ONE. 14(5). e0216171–e0216171. 24 indexed citations
9.
Delaney, Sarah, Charley McCarthy, Richard Murphy, & Fiona Walsh. (2019). Microbiome and resistome of the gastrointestinal tract of broiler chickens. Access Microbiology. 1(1A). 2 indexed citations
10.
McCarthy, Charley & David A. Fitzpatrick. (2019). Pangloss: A Tool for Pan-Genome Analysis of Microbial Eukaryotes. Genes. 10(7). 521–521. 11 indexed citations
11.
McGowan, Jamie, et al.. (2019). Whole Genome Sequence of the Commercially Relevant Mushroom StrainAgaricus bisporusvar.bisporusARP23. G3 Genes Genomes Genetics. 9(10). 3057–3066. 16 indexed citations
12.
McCarthy, Charley, et al.. (2019). Antibiotic resistomes of healthy pig faecal metagenomes. Microbial Genomics. 5(5). 35 indexed citations
13.
McCarthy, Charley & David A. Fitzpatrick. (2019). Pan-genome analyses of model fungal species. Microbial Genomics. 5(2). 69 indexed citations
14.
Rahman, Farzana, Mehedi Hassan, Abdulsamie Hanano, et al.. (2018). Evolutionary, structural and functional analysis of the caleosin/peroxygenase gene family in the Fungi. BMC Genomics. 19(1). 976–976. 16 indexed citations
15.
McCarthy, Charley, et al.. (2018). Genome analysis of the yeast Diutina catenulata, a member of the Debaryomycetaceae/Metschnikowiaceae (CTG-Ser) clade. PLoS ONE. 13(6). e0198957–e0198957. 16 indexed citations
16.
McCarthy, Charley & David A. Fitzpatrick. (2017). Multiple Approaches to Phylogenomic Reconstruction of the Fungal Kingdom. Advances in genetics. 100. 211–266. 13 indexed citations
17.
McGowan, Jamie, et al.. (2017). Draft Genome Sequence of Dermatophagoides pteronyssinus , the European House Dust Mite. Genome Announcements. 5(32). 16 indexed citations
18.
McCarthy, Charley & David A. Fitzpatrick. (2017). Phylogenomic Reconstruction of the Oomycete Phylogeny Derived from 37 Genomes. mSphere. 2(2). 67 indexed citations
19.
McCarthy, Charley & David A. Fitzpatrick. (2016). Systematic Search for Evidence of Interdomain Horizontal Gene Transfer from Prokaryotes to Oomycete Lineages. mSphere. 1(5). 17 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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