Devon O’Rourke

1.1k total citations · 1 hit paper
8 papers, 681 citations indexed

About

Devon O’Rourke is a scholar working on Ecology, Molecular Biology and Ecological Modeling. According to data from OpenAlex, Devon O’Rourke has authored 8 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, 3 papers in Molecular Biology and 3 papers in Ecological Modeling. Recurrent topics in Devon O’Rourke's work include Species Distribution and Climate Change (3 papers), Environmental DNA in Biodiversity Studies (3 papers) and Microbial Community Ecology and Physiology (2 papers). Devon O’Rourke is often cited by papers focused on Species Distribution and Climate Change (3 papers), Environmental DNA in Biodiversity Studies (3 papers) and Microbial Community Ecology and Physiology (2 papers). Devon O’Rourke collaborates with scholars based in United States, Switzerland and Australia. Devon O’Rourke's co-authors include Jeffrey T. Foster, Nicholas A. Bokulich, Michał Ziemski, Michael S. Robeson, Benjamin D. Kaehler, Matthew R. Dillon, Matthew D. MacManes, Michelle A. Jusino, Tomoki Kurihara and Martha J. Marvin and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Computational Biology.

In The Last Decade

Devon O’Rourke

8 papers receiving 674 citations

Hit Papers

RESCRIPt: Reproducible sequence taxonomy reference databa... 2021 2026 2022 2024 2021 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
Devon O’Rourke United States 6 367 230 67 64 55 8 681
Anton Lavrinienko Finland 15 287 0.8× 135 0.6× 50 0.7× 91 1.4× 36 0.7× 32 588
Michał Ziemski Switzerland 9 497 1.4× 176 0.8× 67 1.0× 95 1.5× 76 1.4× 13 876
Vanessa R. Marcelino Australia 21 356 1.0× 496 2.2× 78 1.2× 108 1.7× 62 1.1× 37 1.0k
Sebastian Menke Germany 12 270 0.7× 123 0.5× 50 0.7× 80 1.3× 29 0.5× 16 582
John Hufnagle United States 4 330 0.9× 207 0.9× 77 1.1× 35 0.5× 53 1.0× 7 625
Tiffanie M. Nelson Australia 16 407 1.1× 266 1.2× 55 0.8× 173 2.7× 51 0.9× 29 1.0k
Nathalie Schuster Austria 3 358 1.0× 161 0.7× 22 0.3× 60 0.9× 39 0.7× 4 489
Sarah Maman France 8 320 0.9× 190 0.8× 104 1.6× 107 1.7× 92 1.7× 12 802
Alan Beccati Germany 4 294 0.8× 256 1.1× 98 1.5× 36 0.6× 55 1.0× 9 676
Daryi Wang Taiwan 17 436 1.2× 189 0.8× 57 0.9× 67 1.0× 29 0.5× 40 766

Countries citing papers authored by Devon O’Rourke

Since Specialization
Citations

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

Fields of papers citing papers by Devon O’Rourke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devon O’Rourke. 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 Devon O’Rourke. The network helps show where Devon O’Rourke may publish in the future.

Co-authorship network of co-authors of Devon O’Rourke

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

All Works

8 of 8 papers shown
1.
O’Rourke, Devon, et al.. (2022). Spatial and temporal variation in New Hampshire bat diets. Scientific Reports. 12(1). 14334–14334. 6 indexed citations
2.
Bokulich, Nicholas A., et al.. (2021). bokulich-lab/RESCRIPt: 2021.8.0.dev0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Robeson, Michael S., Devon O’Rourke, Benjamin D. Kaehler, et al.. (2021). RESCRIPt: Reproducible sequence taxonomy reference database management. PLoS Computational Biology. 17(11). e1009581–e1009581. 540 indexed citations breakdown →
4.
O’Rourke, Devon, et al.. (2021). Lord of the Diptera (and Moths and a Spider): Molecular Diet Analyses and Foraging Ecology of Indiana Bats in Illinois. Frontiers in Ecology and Evolution. 9. 20 indexed citations
5.
Bokulich, Nicholas A., et al.. (2021). bokulich-lab/RESCRIPt: 2021.2.0. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
6.
O’Rourke, Devon, Nicholas A. Bokulich, Michelle A. Jusino, Matthew D. MacManes, & Jeffrey T. Foster. (2020). A total crapshoot? Evaluating bioinformatic decisions in animal diet metabarcoding analyses. Ecology and Evolution. 10(18). 9721–9739. 44 indexed citations
7.
Stevens, Richard, Jorge F. Sánchez-García, Stephen Simpson, et al.. (2019). A novel CRISPR/Cas9 associated technology for sequence-specific nucleic acid enrichment. PLoS ONE. 14(4). e0215441–e0215441. 18 indexed citations
8.
Marvin, Martha J., et al.. (2007). Developmental expression patterns of the zebrafish small heat shock proteins. Developmental Dynamics. 237(2). 454–463. 50 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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