Eric T. Dawson

2.2k total citations · 1 hit paper
10 papers, 370 citations indexed

About

Eric T. Dawson is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Eric T. Dawson has authored 10 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Eric T. Dawson's work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and Evolution and Genetic Dynamics (3 papers). Eric T. Dawson is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and Evolution and Genetic Dynamics (3 papers). Eric T. Dawson collaborates with scholars based in United States, United Kingdom and Netherlands. Eric T. Dawson's co-authors include Erik Garrison, Brent S. Pedersen, Pjotr Prins, Zev Kronenberg, Adam M. Novak, Jonas A. Sibbesen, Jouni Sirén, Glenn Hickey, David N. Heller and Jordan M. Eizenga and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Genome biology and Molecular Biology and Evolution.

In The Last Decade

Eric T. Dawson

9 papers receiving 367 citations

Hit Papers

align trajectories

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.

A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar

2022 132 citations Erik Garrison, Zev Kronenberg et al. PLoS Computational Biology profile →

Peers

Eric T. Dawson

MB

GENET

PS

ECOLO

EEBS

Alexander Payne United Kingdom

Giulio Formenti United States

Kristoffer Sahlin Sweden

R. G. Reeves Germany

Josephine A. Reinhardt United States

Inna Povolotskaya Spain

Dana Azouri Israel

George Kettleborough United Kingdom

Diamantis Sellis Greece

Ekaterina Osipova United States

Alexander Payne United Kingdom

Eric T. Dawson

351 ×1.5

MB

74 ×0.5

GENET

70 ×0.7

PS

67 ×1.7

ECOLO

16 ×0.6

EEBS

Citations per year, relative to Eric T. Dawson Eric T. Dawson (= 1×) peers Alexander Payne

Countries citing papers authored by Eric T. Dawson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eric T. Dawson

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

All Works

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10 of 10 papers shown

1.

Fox, Keolu, et al.. (2024). Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI. PubMed. 30. 711–716.

2.

Wolfe, Arthur M., et al.. (2024). AI in Point-of-Care - A Sustainable Healthcare Revolution at the Edge. PubMed. 30. 734–747. 2 indexed citations

3.

Dawson, Eric T., et al.. (2023). Accelerating Minimap2 for Accurate Long Read Alignment on GPUs. PubMed. 6(1). 13–23. 15 indexed citations

4.

Garrison, Erik, Zev Kronenberg, Eric T. Dawson, Brent S. Pedersen, & Pjotr Prins. (2022). A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar. PLoS Computational Biology. 18(5). e1009123–e1009123. 132 indexed citations breakdown →

5.

Hickey, Glenn, David N. Heller, Jean Monlong, et al.. (2020). Genotyping structural variants in pangenome graphs using the vg toolkit. Genome biology. 21(1). 35–35. 156 indexed citations

6.

Dawson, Eric T., Sarah Wagner, David A. Roberson, et al.. (2019). Viral coinfection analysis using a MinHash toolkit. BMC Bioinformatics. 20(1). 389–389. 2 indexed citations

7.

Dawson, Eric T. & Richard Durbin. (2019). GFAKluge: A C++ library and command line utilities for the Graphical Fragment Assembly formats. The Journal of Open Source Software. 4(33). 1083–1083. 1 indexed citations

8.

Spielman, Stephanie J., Eric T. Dawson, & Claus O. Wilke. (2014). Limited Utility of Residue Masking for Positive-Selection Inference. Molecular Biology and Evolution. 31(9). 2496–2500. 11 indexed citations

9.

Shahmoradi, Amir, Dariya K. Sydykova, Stephanie J. Spielman, et al.. (2014). Predicting Evolutionary Site Variability from Structure in Viral Proteins: Buriedness, Packing, Flexibility, and Design. Journal of Molecular Evolution. 79(3-4). 130–142. 29 indexed citations

10.

Meyer, Austin G., Eric T. Dawson, & Claus O. Wilke. (2013). Cross-species comparison of site-specific evolutionary-rate variation in influenza haemagglutinin. Philosophical Transactions of the Royal Society B Biological Sciences. 368(1614). 20120334–20120334. 22 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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