Shawn M. Wilder

2.7k total citations
78 papers, 1.9k citations indexed

About

Shawn M. Wilder is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Ecology. According to data from OpenAlex, Shawn M. Wilder has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Ecology, Evolution, Behavior and Systematics, 35 papers in Genetics and 29 papers in Ecology. Recurrent topics in Shawn M. Wilder's work include Animal Behavior and Reproduction (31 papers), Insect and Arachnid Ecology and Behavior (31 papers) and Plant and animal studies (28 papers). Shawn M. Wilder is often cited by papers focused on Animal Behavior and Reproduction (31 papers), Insect and Arachnid Ecology and Behavior (31 papers) and Plant and animal studies (28 papers). Shawn M. Wilder collaborates with scholars based in United States, Australia and Israel. Shawn M. Wilder's co-authors include Ann L. Rypstra, Micky D. Eubanks, Stephen J. Simpson, David Raubenheimer, Douglas B. Meikle, Andrew V. Suarez, David A. Holway, Dieter F. Hochuli, Elizabeth Lowe and Jason M. Schmidt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Ecology.

In The Last Decade

Shawn M. Wilder

77 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn M. Wilder United States 25 1.1k 900 651 573 231 78 1.9k
R. Craig Stillwell United States 21 1.1k 1.0× 681 0.8× 490 0.8× 744 1.3× 286 1.2× 24 1.8k
Barbara Feldmeyer Germany 24 759 0.7× 1.0k 1.1× 538 0.8× 425 0.7× 143 0.6× 77 1.7k
James K. Wetterer United States 27 1.6k 1.4× 1.7k 1.9× 744 1.1× 225 0.4× 271 1.2× 139 2.2k
W. Wyatt Hoback United States 24 675 0.6× 431 0.5× 886 1.4× 968 1.7× 463 2.0× 160 2.2k
Jordi Moya‐Laraño Spain 24 1.0k 0.9× 817 0.9× 193 0.3× 391 0.7× 221 1.0× 70 1.5k
Jesse W. Breinholt United States 27 1.2k 1.1× 1.1k 1.2× 437 0.7× 719 1.3× 306 1.3× 46 2.3k
José Á. Andrés United States 27 1.0k 0.9× 800 0.9× 316 0.5× 504 0.9× 201 0.9× 57 1.8k
Gregory J. Ragland United States 26 749 0.7× 768 0.9× 766 1.2× 1.3k 2.2× 153 0.7× 51 2.2k
Graham J. Holloway United Kingdom 24 944 0.8× 512 0.6× 641 1.0× 621 1.1× 306 1.3× 114 2.1k
Russell E. Naisbit Switzerland 19 1.5k 1.3× 976 1.1× 488 0.7× 361 0.6× 511 2.2× 30 2.0k

Countries citing papers authored by Shawn M. Wilder

Since Specialization
Citations

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

Fields of papers citing papers by Shawn M. Wilder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn M. Wilder. 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 Shawn M. Wilder. The network helps show where Shawn M. Wilder may publish in the future.

Co-authorship network of co-authors of Shawn M. Wilder

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn M. Wilder. A scholar is included among the top collaborators of Shawn M. Wilder 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 Shawn M. Wilder. Shawn M. Wilder 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.
Cuff, Jordan P., Maximillian P. T. G. Tercel, Ian P. Vaughan, et al.. (2024). Prey nutrient content is associated with the trophic interactions of spiders and their prey selection under field conditions. Oikos. 2025(2). 3 indexed citations
2.
Cuff, Jordan P., Darren M. Evans, Ian P. Vaughan, et al.. (2024). Networking nutrients: How nutrition determines the structure of ecological networks. Journal of Animal Ecology. 93(8). 974–988. 3 indexed citations
3.
Davis, Craig A., et al.. (2023). Variation among arthropod taxa in the amino acid content of exoskeleton and digestible tissue. Ecology and Evolution. 13(7). e10348–e10348. 4 indexed citations
4.
McHugh, M. J., et al.. (2023). A Nonlinear Regression for Characterizing Two-Qubit Processors. 5. 1319–1324.
5.
Wilder, Shawn M. & Stephen J. Simpson. (2022). A vertebrate, the fence skink, is a common but relatively low-quality prey for an invertebrate predator, the redback spider. Food Webs. 32. e00236–e00236. 3 indexed citations
6.
Cuff, Jordan P., Shawn M. Wilder, Maximillian P. T. G. Tercel, et al.. (2021). MEDI: Macronutrient Extraction and Determination from invertebrates, a rapid, cheap and streamlined protocol. Methods in Ecology and Evolution. 12(4). 593–601. 19 indexed citations
7.
Wilder, Shawn M., et al.. (2019). Upper thermal tolerances of different life stages, sexes, and species of widow spiders (Araneae, Theridiidae). Journal of Insect Physiology. 114. 10–14. 18 indexed citations
8.
Wilder, Shawn M., et al.. (2019). Comparing target information in voxel and pixel ultra-wideband radar images. 1. 8–8. 1 indexed citations
9.
Rendon, Dalila, Phillip W. Taylor, Shawn M. Wilder, & Mary Whitehouse. (2019). Does prey encounter and nutrient content affect prey selection in wolf spiders inhabiting Bt cotton fields?. PLoS ONE. 14(1). e0210296–e0210296. 13 indexed citations
10.
11.
Morrison, Jessica M., Chelsea L. Murphy, Richard M. Zamor, et al.. (2017). Microbial communities mediating algal detritus turnover under anaerobic conditions. PeerJ. 5. e2803–e2803. 26 indexed citations
12.
McCue, Marshall D., et al.. (2016). The postabsorptive and postprandial metabolic rates of praying mantises: Comparisons across species, body masses, and meal sizes. Journal of Insect Physiology. 93-94. 64–71. 10 indexed citations
13.
Wilder, Shawn M., et al.. (2014). Contributions of juvenile and adult diet to the lifetime reproductive success and lifespan of a spider. Oikos. 124(2). 130–138. 21 indexed citations
14.
Simpson, Stephen J., et al.. (2014). Effects of Prey Macronutrient Content on Body Composition and Nutrient Intake in a Web-Building Spider. PLoS ONE. 9(6). e99165–e99165. 16 indexed citations
15.
Simpson, Stephen J., Fiona J. Clissold, Mathieu Lihoreau, et al.. (2014). Recent Advances in the Integrative Nutrition of Arthropods. Annual Review of Entomology. 60(1). 293–311. 114 indexed citations
16.
Lowe, Elizabeth, Shawn M. Wilder, & Dieter F. Hochuli. (2014). Urbanisation at Multiple Scales Is Associated with Larger Size and Higher Fecundity of an Orb-Weaving Spider. PLoS ONE. 9(8). e105480–e105480. 58 indexed citations
17.
Wilder, Shawn M., Thomas R. Barnum, David A. Holway, Andrew V. Suarez, & Micky D. Eubanks. (2012). Introduced fire ants can exclude native ants from critical mutualist-provided resources. Oecologia. 172(1). 197–205. 39 indexed citations
18.
Schmidt, Jason M., et al.. (2012). The Nutritional Content of Prey Affects the Foraging of a Generalist Arthropod Predator. PLoS ONE. 7(11). e49223–e49223. 90 indexed citations
19.
Wilder, Shawn M., David A. Holway, Andrew V. Suarez, & Micky D. Eubanks. (2010). Macronutrient content of plant-based food affects growth of a carnivorous arthropod. Ecology. 92(2). 325–332. 54 indexed citations
20.
Wilder, Shawn M.. (2003). FACTORS AFFECTING THE NEGATIVE DENSITY AREA RELATIONSHIP OF THE WHITE-FOOTED MOUSE (PEROMYSCUS LEUCOPUS). OhioLink ETD Center (Ohio Library and Information Network). 1 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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