Erik S. Wright

2.6k total citations · 2 hit papers
41 papers, 1.7k citations indexed

About

Erik S. Wright is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Erik S. Wright has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Ecology and 5 papers in Genetics. Recurrent topics in Erik S. Wright's work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (10 papers) and Microbial Community Ecology and Physiology (6 papers). Erik S. Wright is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (10 papers) and Microbial Community Ecology and Physiology (6 papers). Erik S. Wright collaborates with scholars based in United States, Spain and France. Erik S. Wright's co-authors include L. Şafak Yılmaz, Daniel R. Noguera, Adithya Murali, Aniruddha Bhargava, Kalin Vetsigian, Sri Ram, Gregory W. Harrington, Hatice Eser Ökten, Michael D. Carrithers and David Baum and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Erik S. Wright

40 papers receiving 1.7k citations

Hit Papers

DECIPHER, a Search-Based Approach to Chimera Identificati... 2011 2026 2016 2021 2011 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik S. Wright United States 14 847 657 211 159 133 41 1.7k
Jakub Truszkowski Canada 6 893 1.1× 490 0.7× 230 1.1× 134 0.8× 127 1.0× 15 1.7k
Andre Masella Canada 5 926 1.1× 611 0.9× 274 1.3× 199 1.3× 107 0.8× 5 1.9k
Nico Weber Germany 7 706 0.8× 566 0.9× 204 1.0× 140 0.9× 77 0.6× 10 1.4k
Karen W. Davenport United States 23 850 1.0× 558 0.8× 315 1.5× 149 0.9× 179 1.3× 102 1.9k
Esther Singer United States 13 819 1.0× 588 0.9× 281 1.3× 96 0.6× 126 0.9× 21 1.7k
Mohamed El-Hadidi Egypt 11 721 0.9× 638 1.0× 257 1.2× 185 1.2× 113 0.8× 40 1.8k
James H. Campbell United States 18 1.0k 1.2× 711 1.1× 158 0.7× 165 1.0× 173 1.3× 34 2.5k
Thomas Weinmaier Austria 20 1.1k 1.3× 562 0.9× 140 0.7× 203 1.3× 91 0.7× 32 1.8k
Kim Lee Ng Denmark 8 739 0.9× 580 0.9× 176 0.8× 230 1.4× 73 0.5× 12 1.6k
Marc Auffret United Kingdom 19 787 0.9× 584 0.9× 201 1.0× 178 1.1× 211 1.6× 29 2.1k

Countries citing papers authored by Erik S. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Erik S. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik S. Wright. 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 Erik S. Wright. The network helps show where Erik S. Wright may publish in the future.

Co-authorship network of co-authors of Erik S. Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Erik S. Wright. A scholar is included among the top collaborators of Erik S. Wright 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 Erik S. Wright. Erik S. Wright 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.
Wright, Erik S.. (2025). Fast and Flexible Search for Homologous Biological Sequences with DECIPHER v3. The R Journal. 16(2). 191–200. 1 indexed citations
2.
Wright, Erik S., et al.. (2025). EvoWeaver: large-scale prediction of gene functional associations from coevolutionary signals. Nature Communications. 16(1). 3878–3878.
3.
Wright, Erik S., et al.. (2024). Vancomycin-resistant Staphylococcus aureus (VRSA) can overcome the cost of antibiotic resistance and may threaten vancomycin’s clinical durability. PLoS Pathogens. 20(8). e1012422–e1012422. 5 indexed citations
4.
Wright, Erik S., et al.. (2024). Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance. The Journal of Infectious Diseases. 230(5). 1073–1082. 10 indexed citations
5.
Wright, Erik S.. (2024). Accurately clustering biological sequences in linear time by relatedness sorting. Nature Communications. 15(1). 3047–3047. 8 indexed citations
6.
Wright, Erik S., et al.. (2024). Many purported pseudogenes in bacterial genomes are bona fide genes. BMC Genomics. 25(1). 365–365. 2 indexed citations
7.
Wright, Erik S., et al.. (2023). Evaluating the long-term portrayal of antibiotic resistance in major U.S. newspapers. BMC Public Health. 23(1). 1343–1343. 5 indexed citations
8.
Wolfe, Travis J. De & Erik S. Wright. (2023). Multi-factorial examination of amplicon sequencing workflows from sample preparation to bioinformatic analysis. BMC Microbiology. 23(1). 107–107. 4 indexed citations
9.
Jain, Lalit, et al.. (2022). Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design. PLoS Computational Biology. 18(7). e1010311–e1010311. 1 indexed citations
10.
Narayanan, Nithya, et al.. (2022). Balancing Trade-Offs Imposed by Growth Media and Mass Spectrometry for Bacterial Exometabolomics. Applied and Environmental Microbiology. 88(20). e0092222–e0092222. 3 indexed citations
11.
Wright, Erik S., et al.. (2021). Accurate annotation of protein coding sequences with IDTAXA. NAR Genomics and Bioinformatics. 3(3). lqab080–lqab080. 3 indexed citations
12.
13.
Wright, Erik S., et al.. (2021). Identification of antibiotic pairs that evade concurrent resistance via a retrospective analysis of antimicrobial susceptibility test results. The Lancet Microbe. 2(10). e545–e554. 26 indexed citations
14.
Wright, Erik S.. (2020). RNAconTest: comparing tools for noncoding RNA multiple sequence alignment based on structural consistency. RNA. 26(5). 531–540. 36 indexed citations
15.
Wright, Erik S. & Kalin Vetsigian. (2019). Stochastic exits from dormancy give rise to heavy‐tailed distributions of descendants in bacterial populations. Molecular Ecology. 28(17). 3915–3928. 18 indexed citations
16.
Murali, Adithya, Aniruddha Bhargava, & Erik S. Wright. (2018). IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences. Microbiome. 6(1). 140–140. 403 indexed citations breakdown →
17.
Wright, Erik S. & David Baum. (2018). Exclusivity offers a sound yet practical species criterion for bacteria despite abundant gene flow. BMC Genomics. 19(1). 724–724. 12 indexed citations
18.
Wright, Erik S. & Kalin Vetsigian. (2016). Quality filtering of Illumina index reads mitigates sample cross-talk. BMC Genomics. 17(1). 876–876. 88 indexed citations
19.
Wright, Erik S. & Kalin Vetsigian. (2016). Inhibitory interactions promote frequent bistability among competing bacteria. Nature Communications. 7(1). 11274–11274. 61 indexed citations
20.
Wright, Erik S., et al.. (2013). Epithelial V-Like Antigen Mediates Efficacy of Anti-Alpha4 Integrin Treatment in a Mouse Model of Multiple Sclerosis. PLoS ONE. 8(8). e70954–e70954. 9 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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