Eric T. Dawson
Impact in
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- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Evolution and Genetic Dynamics
- Genetic and phenotypic traits in livestock
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 1
- RNA modifications and cancer 1
- Genetics 3
- Evolution and Genetic Dynamics 3
- Co-authors
- Erik Garrison (3 shared papers)Pjotr Prins (1 shared paper)Brent S. Pedersen (1 shared paper)Zev Kronenberg (1 shared paper)Jordan M. Eizenga (1 shared paper)Adam M. Novak (1 shared paper)Jean Monlong (1 shared paper)David N. Heller (1 shared paper)
- Journals
- Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)PLoS Computational Biology (1 paper)Molecular Biology and Evolution (1 paper)Journal of Molecular Evolution (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eric T. Dawson
9 papers receiving 367 citations
Eric T. Dawson's Hit Papers
Peers
Comparison fields: 5 of 73
- Genetics 160
- Molecular Biology 228
- Plant Science 105
- Ecology 39
- Ecology, Evolution, Behavior and Systematics 26
Countries citing papers authored by Eric T. Dawson
This map shows the geographic impact of Eric T. Dawson'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 Eric T. Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Dawson more than expected).
Fields of papers citing papers by Eric T. Dawson
This network shows the impact of papers produced by Eric T. Dawson. 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 Eric T. Dawson. The network helps show where Eric T. Dawson may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric T. Dawson, 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 | 2020 | 156 | |
| 2 | A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar Hit paper breakdown → | 2022 | 132 |
| 3 | 2014 | 29 | |
| 4 | 2013 | 22 | |
| 5 | 2023 | 15 | |
| 6 | 2014 | 11 | |
| 7 | 2019 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2019 | 1 | |
| 10 | 2024 | 0 |
About Eric T. Dawson
Eric T. Dawson is a scholar working on Molecular Biology, Genetics, Epidemiology, Artificial Intelligence and Ecology, having authored 10 papers that have together received 370 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Evolution and Genetic Dynamics (3 papers), Algorithms and Data Compression (2 papers), Machine Learning in Bioinformatics (1 paper), Bacteriophages and microbial interactions (1 paper), RNA modifications and cancer (1 paper) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Genetics (160 citations), Molecular Biology (228 citations), Plant Science (105 citations), Ecology (39 citations) and Ecology, Evolution, Behavior and Systematics (26 citations). Eric T. Dawson has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Erik Garrison, Pjotr Prins, Brent S. Pedersen, Zev Kronenberg, Jordan M. Eizenga, Adam M. Novak, Jean Monlong, David N. Heller, Jonas A. Sibbesen and Glenn Hickey. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, PLoS Computational Biology, Molecular Biology and Evolution, Journal of Molecular Evolution and BMC Bioinformatics.
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.