Amy K. Wray

408 total citations
14 papers, 296 citations indexed

About

Amy K. Wray is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Ecological Modeling. According to data from OpenAlex, Amy K. Wray has authored 14 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 7 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Ecological Modeling. Recurrent topics in Amy K. Wray's work include Species Distribution and Climate Change (7 papers), Bat Biology and Ecology Studies (7 papers) and Environmental DNA in Biodiversity Studies (4 papers). Amy K. Wray is often cited by papers focused on Species Distribution and Climate Change (7 papers), Bat Biology and Ecology Studies (7 papers) and Environmental DNA in Biodiversity Studies (4 papers). Amy K. Wray collaborates with scholars based in United States and Guatemala. Amy K. Wray's co-authors include M. Zachariah Peery, Claudio Gratton, Jonathan Palmer, Daniel L. Lindner, Michelle A. Jusino, Mark T. Banik, Jesse R. Barber, Akito Y. Kawahara, Emma Pelton and Lei Xiao and has published in prestigious journals such as Ecology Letters, Molecular Ecology and Biological Conservation.

In The Last Decade

Amy K. Wray

12 papers receiving 296 citations

Peers

Amy K. Wray
Karen E. Powers United States
Claudia Wultsch United States
Lizette Siles United States
Karen E. Powers United States
Amy K. Wray
Citations per year, relative to Amy K. Wray Amy K. Wray (= 1×) peers Karen E. Powers

Countries citing papers authored by Amy K. Wray

Since Specialization
Citations

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

Fields of papers citing papers by Amy K. Wray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy K. Wray. 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 Amy K. Wray. The network helps show where Amy K. Wray may publish in the future.

Co-authorship network of co-authors of Amy K. Wray

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

All Works

14 of 14 papers shown
1.
Wray, Amy K., et al.. (2025). Predicting bat roosts in bridges using Bayesian Additive Regression Trees. Global Ecology and Conservation. 60. e03551–e03551.
2.
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Wray, Amy K., et al.. (2024). Heterogenous effects of bat declines from white‐nose syndrome on arthropods. Ecology Letters. 27(6).
4.
Neilson, Matthew, et al.. (2024). America’s Most Wanted Fishes: cataloging risk assessments to prioritize invasive species for management action. Management of Biological Invasions. 15(1). 1–20. 7 indexed citations
5.
Wray, Amy K. & M. Zachariah Peery. (2022). Comparing little brown and big brown bat isotopic niches over the past century in an agriculturally dominated landscape. Journal of Mammalogy. 103(5). 1045–1057. 2 indexed citations
6.
Fountain, Emily D., Connor M. Wood, Amy K. Wray, et al.. (2022). DNA metabarcoding reveals the threat of rapidly expanding barred owl populations to native wildlife in western North America. Biological Conservation. 273. 109678–109678. 8 indexed citations
7.
Wray, Amy K., Claudio Gratton, Michelle A. Jusino, et al.. (2022). Disease‐related population declines in bats demonstrate non‐exchangeability in generalist predators. Ecology and Evolution. 12(6). e8978–e8978. 3 indexed citations
8.
Kramer, H. Anu, Gavin M. Jones, John J. Keane, et al.. (2022). Large trees and forest heterogeneity facilitate prey capture by California Spotted Owls. Ornithological applications. 124(3). 15 indexed citations
9.
Creekmore, Terry E., et al.. (2022). SOURCE AND SEASONALITY OF EPIZOOTIC MYCOPLASMOSIS IN FREE-RANGING PRONGHORN (ANTILOCAPRA AMERICANA). Journal of Wildlife Diseases. 58(3). 524–536. 7 indexed citations
10.
Wray, Amy K., M. Zachariah Peery, Michelle A. Jusino, et al.. (2020). Predator preferences shape the diets of arthropodivorous bats more than quantitative local prey abundance. Molecular Ecology. 30(3). 855–873. 29 indexed citations
11.
Wray, Amy K., Michelle A. Jusino, Mark T. Banik, et al.. (2018). Incidence and taxonomic richness of mosquitoes in the diets of little brown and big brown bats. Journal of Mammalogy. 99(3). 668–674. 37 indexed citations
12.
Jusino, Michelle A., Mark T. Banik, Jonathan Palmer, et al.. (2018). An improved method for utilizing high‐throughput amplicon sequencing to determine the diets of insectivorous animals. Molecular Ecology Resources. 19(1). 176–190. 142 indexed citations
13.
Wray, Amy K., Kevin J. Olival, David Morán, et al.. (2016). Viral Diversity, Prey Preference, and Bartonella Prevalence in Desmodus rotundus in Guatemala. EcoHealth. 13(4). 761–774. 42 indexed citations
14.
Wray, Amy K., et al.. (2016). Waterbird Susceptibility to Avian Cholera at Hayward Marsh, California, USA. Journal of Wildlife Diseases. 52(3). 699–704. 2 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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