Aaron E. Darling
- Ecology top 0.05%
- Microbial Community Ecology and Physiology 22
- Bacteriophages and microbial interactions 10
- Endocrinology top 0.1%
- Escherichia coli research studies 9
- Paleontology top 0.2%
- Molecular Medicine top 0.2%
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- Genomics and Phylogenetic Studies 66
- Gut microbiota and health 17
- RNA and protein synthesis mechanisms 8
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- Chromosomal and Genetic Variations 13
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- Genetic diversity and population structure 8
- Co-authors
- John P. HuelsenbeckDaniel L. AyresMarc A. SuchardFredrik RonquistPaul van der MarkBret LargetLiang LiuMaxim Teslenko
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Aaron E. Darling
99 papers receiving 33.6k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Ecology, Evolution, Behavior and Systematics 7.5k
- Ecology 9.6k
- Endocrinology 1.9k
- Paleontology 2.0k
- Molecular Medicine 1.2k
Countries citing papers authored by Aaron E. Darling
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
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
The 25 scholars most cited alongside Aaron E. Darling, 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 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 40 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 29 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 6 | |
| 9 | 2019 | 15 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 79 | |
| 12 | 2017 | 27 | |
| 13 | 2017 | 22 | |
| 14 | 2017 | 50 | |
| 15 | 2013 | 35 | |
| 16 | Algorithms in bioinformatics 13th international workshop, WABI 2013, Sophia Antipolis, France, September 2 - 4, 2013 ; proceedings | 2013 | 1 |
| 17 | 2010 | 120 | |
| 18 | 2009 | 12 | |
| 19 | 2004 | 2 | |
| 20 | The design, implementation, and evaluation of mpiBLAST | 2003 | 250 |
About Aaron E. Darling
Aaron E. Darling is a scholar working on Microbiology, Endocrinology and Molecular Medicine, having authored 101 papers that have together received 34.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (66 papers), Microbial Community Ecology and Physiology (22 papers), Gut microbiota and health (17 papers), Chromosomal and Genetic Variations (13 papers), Bacteriophages and microbial interactions (10 papers), Escherichia coli research studies (9 papers), RNA and protein synthesis mechanisms (8 papers) and Genetic diversity and population structure (8 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (7.5k citations), Ecology (9.6k citations) and Endocrinology (1.9k citations). Aaron E. Darling has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John P. Huelsenbeck, Daniel L. Ayres, Marc A. Suchard, Fredrik Ronquist, Paul van der Mark, Bret Larget, Liang Liu, Maxim Teslenko, Sebastian Höhna and Nicole T. Perna. Their work appears in journals such as PeerJ, PLoS ONE, Bioinformatics, Genome biology and BMC Genomics.
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.