Nathan P. Snow

1.6k total citations
69 papers, 747 citations indexed

About

Nathan P. Snow is a scholar working on Ecology, Small Animals and Agronomy and Crop Science. According to data from OpenAlex, Nathan P. Snow has authored 69 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Ecology, 34 papers in Small Animals and 19 papers in Agronomy and Crop Science. Recurrent topics in Nathan P. Snow's work include Wildlife Ecology and Conservation (45 papers), Animal Ecology and Behavior Studies (36 papers) and Animal Behavior and Welfare Studies (34 papers). Nathan P. Snow is often cited by papers focused on Wildlife Ecology and Conservation (45 papers), Animal Ecology and Behavior Studies (36 papers) and Animal Behavior and Welfare Studies (34 papers). Nathan P. Snow collaborates with scholars based in United States, Australia and Canada. Nathan P. Snow's co-authors include Kurt C. VerCauteren, Marta A. Jarzyna, William F. Porter, David Williams, Michael J. Lavelle, Gary W. Witmer, Kim M. Pepin, David G. Hewitt, Linton Staples and Joseph M. Halseth and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nathan P. Snow

64 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan P. Snow United States 16 592 306 169 101 78 69 747
John J. Mayer United States 15 450 0.8× 234 0.8× 153 0.9× 51 0.5× 141 1.8× 30 690
Alicia García‐Serrano Spain 12 539 0.9× 158 0.5× 82 0.5× 27 0.3× 112 1.4× 40 696
Pascal Fournier France 20 600 1.0× 216 0.7× 59 0.3× 61 0.6× 284 3.6× 51 974
Tyler A. Campbell United States 16 594 1.0× 166 0.5× 175 1.0× 26 0.3× 87 1.1× 65 778
Lisa I. Muller United States 16 327 0.6× 155 0.5× 90 0.5× 23 0.2× 99 1.3× 55 601
Matthew Gentle Australia 15 686 1.2× 158 0.5× 72 0.4× 25 0.2× 268 3.4× 46 807
Howard J. Kilpatrick United States 15 412 0.7× 66 0.2× 52 0.3× 67 0.7× 52 0.7× 29 654
Steven R. McLeod Australia 16 406 0.7× 146 0.5× 82 0.5× 17 0.2× 135 1.7× 37 621
Sándor Csányi Hungary 12 552 0.9× 83 0.3× 56 0.3× 44 0.4× 135 1.7× 37 754
Harry A. Jacobson United States 15 510 0.9× 132 0.4× 64 0.4× 38 0.4× 107 1.4× 32 663

Countries citing papers authored by Nathan P. Snow

Since Specialization
Citations

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

Fields of papers citing papers by Nathan P. Snow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan P. Snow. 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 Nathan P. Snow. The network helps show where Nathan P. Snow may publish in the future.

Co-authorship network of co-authors of Nathan P. Snow

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan P. Snow. A scholar is included among the top collaborators of Nathan P. Snow 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 Nathan P. Snow. Nathan P. Snow 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.
Lavelle, Michael J., et al.. (2025). Comparing shotshell characteristics to optimize aerial removal of wild pigs (Sus scrofa). Wildlife Research. 52(4).
2.
Snow, Nathan P., Benjamin Smith, Michael J. Lavelle, et al.. (2024). Comparing efficiencies of population control methods for responding to introductions of transboundary animal diseases in wild pigs. Preventive Veterinary Medicine. 233. 106347–106347. 4 indexed citations
3.
Lavelle, Michael J., et al.. (2024). Evaluation of rifle cartridge and shot placement for euthanizing feral swine (Sus scrofa) in traps. Journal of Animal Science. 102. 1 indexed citations
4.
VerCauteren, Kurt C., et al.. (2024). What is known, unknown, and needed to be known about damage caused by wild pigs. Biological Invasions. 26(5). 1313–1325. 7 indexed citations
5.
Smith, Benjamin, et al.. (2024). Effects of ungulate‐proof fencing on space use by wild pigs. Journal of Wildlife Management. 88(5). 2 indexed citations
6.
VerCauteren, Kurt C., et al.. (2024). Use of rhodamine B as a biomarker in a simulated oral vaccine deployment against bovine tuberculosis in white-tailed deer. Frontiers in Veterinary Science. 11. 1354772–1354772. 1 indexed citations
7.
VerCauteren, Kurt C., et al.. (2023). Alternatives to corn for baiting wild pigs. SHILAP Revista de lepidopterología. 47(3). 3 indexed citations
8.
Baruzzi, Carolina, Nathan P. Snow, Kurt C. VerCauteren, et al.. (2023). Estimating body mass of wild pigs (Sus scrofa) using body morphometrics. Ecology and Evolution. 13(3). e9853–e9853. 3 indexed citations
9.
DeYoung, Randy W., Michael J. Cherry, Justin W. Fischer, et al.. (2023). Using drones to detect and quantify wild pig damage and yield loss in corn fields throughout plant growth stages. SHILAP Revista de lepidopterología. 47(2). 8 indexed citations
10.
Snow, Nathan P., et al.. (2023). Assessment of spilled toxic bait by wild pigs and potential risk to non‐target species. Pest Management Science. 79(11). 4589–4598. 2 indexed citations
11.
Yang, Anni, Raoul K. Boughton, Ryan S. Miller, et al.. (2023). Individual-level patterns of resource selection do not predict hotspots of contact. Movement Ecology. 11(1). 74–74. 3 indexed citations
12.
Hewitt, David G., et al.. (2020). Invasive Wild Pigs as Primary Nest Predators for Wild Turkeys. Scientific Reports. 10(1). 2625–2625. 16 indexed citations
13.
Wilber, M., James C. Beasley, Raoul K. Boughton, et al.. (2020). Predicting Functional Responses in Agroecosystems from Animal Movement Data to Improve Management of Invasive Pests. Bulletin of the Ecological Society of America. 101(1). 1 indexed citations
14.
Ellis, Christine, Morgan Wehtje, Lisa L. Wolfe, et al.. (2019). Comparison of the efficacy of four drug combinations for immobilization of wild pigs. European Journal of Wildlife Research. 65(5). 18 indexed citations
15.
Hewitt, David G., et al.. (2019). Opportunistic Predation of Wild Turkey Nests by Wild Pigs. Journal of Wildlife Management. 84(2). 293–300. 10 indexed citations
16.
Snow, Nathan P., Zhen Zhang, Andrew O. Finley, et al.. (2018). Regional‐based mitigation to reduce wildlife–vehicle collisions. Journal of Wildlife Management. 82(4). 756–765. 10 indexed citations
17.
Lavelle, Michael J., et al.. (2017). Attractants for wild pigs: current use, availability, needs, and future potential. European Journal of Wildlife Research. 63(6). 13 indexed citations
18.
Snow, Nathan P., et al.. (2017). Development of toxic bait to control invasive wild pigs and reduce damage. SHILAP Revista de lepidopterología. 41(2). 256–263. 33 indexed citations
19.
Snow, Nathan P., William F. Porter, & David Williams. (2014). Underreporting of wildlife-vehicle collisions does not hinder predictive models for large ungulates. Biological Conservation. 181. 44–53. 40 indexed citations
20.
Witmer, Gary W., et al.. (2009). Vole Problems, Management Options, and Research Needs in the United States. Insecta mundi. 10 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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