Aaron E. Darling

51.6k total citations · 6 hit papers
101 papers, 34.1k citations indexed

About

Aaron E. Darling is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Aaron E. Darling has authored 101 papers receiving a total of 34.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 31 papers in Ecology and 25 papers in Genetics. Recurrent topics in Aaron E. Darling's work include Genomics and Phylogenetic Studies (66 papers), Microbial Community Ecology and Physiology (22 papers) and Gut microbiota and health (17 papers). Aaron E. Darling is often cited by papers focused on Genomics and Phylogenetic Studies (66 papers), Microbial Community Ecology and Physiology (22 papers) and Gut microbiota and health (17 papers). Aaron E. Darling collaborates with scholars based in Australia, United States and United Kingdom. Aaron E. Darling's co-authors include John P. Huelsenbeck, Daniel L. Ayres, Marc A. Suchard, Fredrik Ronquist, Paul van der Mark, Liang Liu, Sebastian Höhna, Maxim Teslenko, Bret Larget and Nicole T. Perna and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Aaron E. Darling

99 papers receiving 33.6k citations

Hit Papers

MrBayes 3.2: Efficient Bayesian Phylogenetic Inference ... 2004 2026 2011 2018 2012 2004 2010 2014 2011 5.0k 10.0k 15.0k 20.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron E. Darling Australia 39 15.2k 9.6k 8.0k 7.5k 6.4k 101 34.1k
Stéphane Guindon France 21 16.3k 1.1× 10.0k 1.0× 8.8k 1.1× 7.3k 1.0× 8.3k 1.3× 39 39.8k
Olivier Gascuel France 35 21.0k 1.4× 11.1k 1.2× 10.8k 1.3× 6.5k 0.9× 8.7k 1.4× 136 46.4k
Liang Liu United States 32 10.7k 0.7× 6.4k 0.7× 6.4k 0.8× 8.0k 1.1× 7.3k 1.1× 69 25.9k
Bret Larget United States 24 9.6k 0.6× 6.8k 0.7× 6.8k 0.8× 7.9k 1.1× 6.1k 1.0× 41 25.4k
Daron M. Standley Japan 36 17.9k 1.2× 7.0k 0.7× 9.0k 1.1× 6.6k 0.9× 5.4k 0.8× 113 35.8k
Heiko A. Schmidt Austria 20 13.3k 0.9× 6.5k 0.7× 6.3k 0.8× 5.2k 0.7× 5.5k 0.9× 33 28.3k
Daniel L. Ayres United States 7 8.3k 0.5× 6.3k 0.7× 6.0k 0.7× 7.3k 1.0× 5.2k 0.8× 9 23.9k
Sebastian Höhna Germany 22 8.4k 0.6× 6.1k 0.6× 5.7k 0.7× 7.4k 1.0× 5.3k 0.8× 47 23.0k
Alan Filipski United States 11 16.4k 1.1× 8.0k 0.8× 12.6k 1.6× 4.9k 0.6× 6.4k 1.0× 14 41.5k
Daniel S. Peterson United States 28 16.1k 1.1× 7.9k 0.8× 12.5k 1.6× 4.7k 0.6× 6.1k 1.0× 96 42.9k

Countries citing papers authored by Aaron E. Darling

Since Specialization
Citations

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

Fields of papers citing papers by Aaron E. Darling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron E. Darling. 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 Aaron E. Darling. The network helps show where Aaron E. Darling may publish in the future.

Co-authorship network of co-authors of Aaron E. Darling

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron E. Darling. A scholar is included among the top collaborators of Aaron E. Darling 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 Aaron E. Darling. Aaron E. Darling 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.
Maghini, Dylan G., Yuya Kiguchi, Aaron E. Darling, et al.. (2025). Illumina complete long read assay yields contiguous bacterial genomes from human gut metagenomes. mSystems. 10(8). e0153124–e0153124.
2.
Brito, Bárbara, et al.. (2023). Evaluation of recombination detection methods for viral sequencing. Virus Evolution. 9(2). vead066–vead066. 2 indexed citations
3.
To, Joyce, et al.. (2022). Hackflex: low-cost, high-throughput, Illumina Nextera Flex library construction. Microbial Genomics. 8(1). 40 indexed citations
4.
Meyer, Fernando, David Koslicki, Adrian Fritz, et al.. (2021). Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit. Nature Protocols. 16(4). 1785–1801. 29 indexed citations
5.
Bogema, Daniel R., Jessica McKinnon, Carola Venturini, et al.. (2019). Whole-genome analysis of extraintestinal Escherichia coli sequence type 73 from a single hospital over a 2 year period identified different circulating clonal groups. Microbial Genomics. 6(1). 21 indexed citations
6.
Chowdhury, Piklu Roy, Mathieu Fourment, Matthew Z. DeMaere, et al.. (2019). Identification of a novel lineage of plasmids within phylogenetically diverse subclades of IncHI2-ST1 plasmids. Plasmid. 102. 56–61. 6 indexed citations
7.
Bogema, Daniel R., Melinda L. Micallef, Michael Liu, et al.. (2018). Analysis of Theileria orientalis draft genome sequences reveals potential species-level divergence of the Ikeda, Chitose and Buffeli genotypes. BMC Genomics. 19(1). 298–298. 25 indexed citations
8.
Fourment, Mathieu & Aaron E. Darling. (2018). Local and relaxed clocks: the best of both worlds. PeerJ. 6. e5140–e5140. 14 indexed citations
9.
Fourment, Mathieu, et al.. (2017). Effective Online Bayesian Phylogenetics via Sequential Monte Carlo with Guided Proposals. Systematic Biology. 67(3). 490–502. 22 indexed citations
10.
Reid, Cameron J., Ethan R. Wyrsch, Piklu Roy Chowdhury, et al.. (2017). Porcine commensal Escherichia coli: a reservoir for class 1 integrons associated with IS26. Microbial Genomics. 3(12). 79 indexed citations
11.
DeMaere, Matthew Z. & Aaron E. Darling. (2017). Sim3C: simulation of Hi-C and Meta3C proximity ligation sequencing technologies. GigaScience. 7(2). 27 indexed citations
12.
Gardiner, Melissa, Mauro Vicaretti, Stephen Bush, et al.. (2017). A longitudinal study of the diabetic skin and wound microbiome. PeerJ. 5. e3543–e3543. 99 indexed citations
13.
Monahan, Leigh G., Matthew Z. DeMaere, Catherine Burke, et al.. (2017). Evaluation of ddRADseq for reduced representation metagenome sequencing. PeerJ. 5. e3837–e3837. 11 indexed citations
15.
Rands, Chris M., Aaron E. Darling, Matthew K. Fujita, et al.. (2013). Insights into the evolution of Darwin’s finches from comparative analysis of the Geospiza magnirostris genome sequence. BMC Genomics. 14(1). 95–95. 35 indexed citations
16.
Darling, Aaron E., et al.. (2013). Algorithms in bioinformatics 13th international workshop, WABI 2013, Sophia Antipolis, France, September 2 - 4, 2013 ; proceedings. 1 indexed citations
17.
Darling, Aaron E., Bob Mau, & Nicole T. Perna. (2010). progressiveMauve: Multiple Genome Alignment with Gene Gain, Loss and Rearrangement. PLoS ONE. 5(6). e11147–e11147. 2979 indexed citations breakdown →
18.
Didelot, Xavier, Daniel J. Lawson, Aaron E. Darling, & Daniel Falush. (2010). Inference of Homologous Recombination in Bacteria Using Whole-Genome Sequences. Genetics. 186(4). 1435–1449. 120 indexed citations
19.
Morgan, Jenna, Aaron E. Darling, & Jonathan A. Eisen. (2010). Metagenomic Sequencing of an In Vitro-Simulated Microbial Community. University of North Texas Digital Library (University of North Texas). 52 indexed citations
20.
Darling, Aaron E., Mark Craven, Bob Mau, & Nicole T. Perna. (2004). Multiple alignment of rearranged genomes. 738–739. 2 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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