Brent J. Sewall

1.1k total citations
34 papers, 609 citations indexed

About

Brent J. Sewall is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Infectious Diseases. According to data from OpenAlex, Brent J. Sewall has authored 34 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, Evolution, Behavior and Systematics, 9 papers in Ecology and 8 papers in Infectious Diseases. Recurrent topics in Brent J. Sewall's work include Bat Biology and Ecology Studies (15 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Viral Infections and Vectors (7 papers). Brent J. Sewall is often cited by papers focused on Bat Biology and Ecology Studies (15 papers), Ecology and Vegetation Dynamics Studies (8 papers) and Viral Infections and Vectors (7 papers). Brent J. Sewall collaborates with scholars based in United States, Finland and United Kingdom. Brent J. Sewall's co-authors include Sybill K. Amelon, Kim E. Reuter, Konstantina Zografou, Amy L. Freestone, Virginia P. Tilden, Gregory G. Turner, Elise F. Granek, Thomas M. Lilley, Gregory M. Ruiz and Mark E. Torchin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Ecology.

In The Last Decade

Brent J. Sewall

34 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brent J. Sewall United States 15 323 270 112 103 95 34 609
Krizler C. Tanalgo Philippines 15 346 1.1× 333 1.2× 85 0.8× 40 0.4× 162 1.7× 49 614
Isaac Passos de Lima Brazil 12 418 1.3× 319 1.2× 102 0.9× 66 0.6× 136 1.4× 24 613
Julian Kerbis Peterhans United States 12 172 0.5× 371 1.4× 162 1.4× 72 0.7× 136 1.4× 20 742
Nélio Roberto dos Reis Brazil 15 460 1.4× 419 1.6× 94 0.8× 35 0.3× 128 1.3× 39 707
Allyson K. Menzies Canada 16 366 1.1× 477 1.8× 58 0.5× 88 0.9× 143 1.5× 39 723
Leone M. Brown United States 17 382 1.2× 331 1.2× 118 1.1× 42 0.4× 203 2.1× 26 837
Phillip Alviola Philippines 13 185 0.6× 272 1.0× 148 1.3× 208 2.0× 162 1.7× 35 700
Nicola Markus Australia 6 298 0.9× 313 1.2× 74 0.7× 71 0.7× 170 1.8× 7 523
G. Robb South Africa 9 274 0.8× 664 2.5× 120 1.1× 33 0.3× 134 1.4× 11 845
Sally A. Lahm United States 11 175 0.5× 494 1.8× 132 1.2× 58 0.6× 85 0.9× 16 843

Countries citing papers authored by Brent J. Sewall

Since Specialization
Citations

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

Fields of papers citing papers by Brent J. Sewall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brent J. Sewall. 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 Brent J. Sewall. The network helps show where Brent J. Sewall may publish in the future.

Co-authorship network of co-authors of Brent J. Sewall

This figure shows the co-authorship network connecting the top 25 collaborators of Brent J. Sewall. A scholar is included among the top collaborators of Brent J. Sewall 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 Brent J. Sewall. Brent J. Sewall 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.
Turner, Gregory G., et al.. (2024). Long-term trends in the extent of Pseudogymnoascus destructans infection in little brown myotis. Biological Conservation. 302. 110954–110954. 1 indexed citations
2.
Chothe, Shubhada K., Santhamani Ramasamy, Abhinay Gontu, et al.. (2023). Little Brown Bats (Myotis lucifugus) Support the Binding of SARS-CoV-2 Spike and Are Likely Susceptible to SARS-CoV-2 Infection. Viruses. 15(5). 1103–1103. 2 indexed citations
3.
Borghi, Monica, et al.. (2023). Phenology and foraging bias contribute to sex‐specific foraging patterns in the rare declining butterfly Argynnis idalia idalia. Ecology and Evolution. 13(7). e10287–e10287. 2 indexed citations
4.
Sewall, Brent J., Gregory G. Turner, Joseph S. Johnson, et al.. (2023). Environmental control reduces white‐nose syndrome infection in hibernating bats. Animal Conservation. 26(5). 642–653. 5 indexed citations
5.
Zografou, Konstantina, George C. Adamidis, Brent J. Sewall, & Andrea Grill. (2022). Not Too Warm, Not Too Cold: Thermal Treatments to Slightly Warmer or Colder Conditions from Mother’s Origin Can Enhance Performance of Montane Butterfly Larvae. Biology. 11(6). 915–915. 2 indexed citations
6.
Freestone, Amy L., Mark E. Torchin, Laura J. Jurgens, et al.. (2021). Stronger predation intensity and impact on prey communities in the tropics. Ecology. 102(8). e03428–e03428. 41 indexed citations
7.
Zografou, Konstantina, et al.. (2021). Species traits affect phenological responses to climate change in a butterfly community. Scientific Reports. 11(1). 3283–3283. 38 indexed citations
8.
Turner, Gregory G., et al.. (2021). Cooling of bat hibernacula to mitigate white‐nose syndrome. Conservation Biology. 36(2). e13803–e13803. 21 indexed citations
9.
Zografou, Konstantina, et al.. (2020). Stable generalist species anchor a dynamic pollination network. Ecosphere. 11(8). 27 indexed citations
10.
Lilley, Thomas M., Kenneth A. Field, DeeAnn M. Reeder, et al.. (2020). Genome-Wide Changes in Genetic Diversity in a Population of Myotis lucifugus Affected by White-Nose Syndrome. G3 Genes Genomes Genetics. 10(6). 2007–2020. 13 indexed citations
11.
Freestone, Amy L., et al.. (2019). Predation shapes invertebrate diversity in tropical but not temperate seagrass communities. Journal of Animal Ecology. 89(2). 323–333. 22 indexed citations
12.
Adamidis, George C., et al.. (2019). Prescribed fire maintains host plants of a rare grassland butterfly. Scientific Reports. 9(1). 16826–16826. 6 indexed citations
13.
Whiting, Jericho C., et al.. (2018). Long-term bat abundance in sagebrush steppe. Scientific Reports. 8(1). 12288–12288. 7 indexed citations
14.
Reuter, Kim E., Brent J. Sewall, & Enrico Di Minin. (2017). Drivers of present and lifetime natural resource use in a tropical biodiversity hotspot. Animal Conservation. 21(2). 127–136. 11 indexed citations
15.
Chothe, Shubhada K., Ruth H. Nissly, Justin D. Brown, et al.. (2017). Avian and human influenza virus compatible sialic acid receptors in little brown bats. Scientific Reports. 7(1). 660–660. 21 indexed citations
16.
Sewall, Brent J., et al.. (2016). Effects of white‐nose syndrome on regional population patterns of 3 hibernating bat species. Conservation Biology. 30(5). 1048–1059. 40 indexed citations
17.
Reuter, Kim E., et al.. (2016). Using Stable Isotopes to Infer the Impacts of Habitat Change on the Diets and Vertical Stratification of Frugivorous Bats in Madagascar. PLoS ONE. 11(4). e0153192–e0153192. 10 indexed citations
18.
Sewall, Brent J., et al.. (2015). The Impact of Environmental, Social, and Animal Factors on Visitor Stay Times at Big Cat Exhibits. Visitor Studies. 18(2). 150–167. 18 indexed citations
19.
Sewall, Brent J., et al.. (2013). Improved Analysis of Long-Term Monitoring Data Demonstrates Marked Regional Declines of Bat Populations in the Eastern United States. PLoS ONE. 8(6). e65907–e65907. 73 indexed citations
20.

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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