Kevin L. Pangle

1.6k total citations
61 papers, 1.3k citations indexed

About

Kevin L. Pangle is a scholar working on Nature and Landscape Conservation, Ecology and Global and Planetary Change. According to data from OpenAlex, Kevin L. Pangle has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Nature and Landscape Conservation, 38 papers in Ecology and 18 papers in Global and Planetary Change. Recurrent topics in Kevin L. Pangle's work include Fish Ecology and Management Studies (50 papers), Marine and fisheries research (17 papers) and Aquatic Invertebrate Ecology and Behavior (16 papers). Kevin L. Pangle is often cited by papers focused on Fish Ecology and Management Studies (50 papers), Marine and fisheries research (17 papers) and Aquatic Invertebrate Ecology and Behavior (16 papers). Kevin L. Pangle collaborates with scholars based in United States, Canada and Malawi. Kevin L. Pangle's co-authors include Scott D. Peacor, Ora E. Johannsson, Trent M. Sutton, Stuart A. Ludsin, Brian J. Fryer, Paul E. Bourdeau, Bradley Jay Swanson, Erin McCann, Nicholas S. Johnson and Michael H. Hoff and has published in prestigious journals such as Ecology, Proceedings of the Royal Society B Biological Sciences and Oikos.

In The Last Decade

Kevin L. Pangle

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin L. Pangle United States 21 817 816 337 290 229 61 1.3k
J. Ben James United Kingdom 20 612 0.7× 707 0.9× 427 1.3× 106 0.4× 205 0.9× 48 1.1k
Catherine L. Hein United States 18 1.0k 1.3× 747 0.9× 441 1.3× 140 0.5× 111 0.5× 27 1.4k
Sandro Santos Brazil 24 1.3k 1.6× 867 1.1× 317 0.9× 117 0.4× 596 2.6× 121 1.7k
Theo Light United States 10 1.2k 1.5× 1.2k 1.5× 332 1.0× 106 0.4× 391 1.7× 11 1.6k
John L. Confer United States 23 1.1k 1.3× 940 1.2× 497 1.5× 424 1.5× 158 0.7× 48 1.7k
Nicholas C. Collins Canada 24 911 1.1× 1.1k 1.4× 575 1.7× 123 0.4× 318 1.4× 46 1.7k
Jacqueline F. Savino United States 17 1.1k 1.3× 1.4k 1.7× 602 1.8× 278 1.0× 418 1.8× 30 1.8k
Jean V. Adams United States 24 947 1.2× 1.2k 1.5× 395 1.2× 122 0.4× 266 1.2× 75 1.5k
Magnus Huss Sweden 18 526 0.6× 468 0.6× 452 1.3× 92 0.3× 140 0.6× 45 925
Per Nyström Sweden 29 1.8k 2.2× 1.1k 1.3× 882 2.6× 196 0.7× 184 0.8× 45 2.4k

Countries citing papers authored by Kevin L. Pangle

Since Specialization
Citations

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

Fields of papers citing papers by Kevin L. Pangle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin L. Pangle. 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 Kevin L. Pangle. The network helps show where Kevin L. Pangle may publish in the future.

Co-authorship network of co-authors of Kevin L. Pangle

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin L. Pangle. A scholar is included among the top collaborators of Kevin L. Pangle 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 Kevin L. Pangle. Kevin L. Pangle 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.
Peacor, Scott D., et al.. (2025). Similar Conditions With Opposite Effects: Predation‐Risk Effects on Prey Abundance Are Highly Contingent. Ecology and Evolution. 15(1). e70861–e70861. 1 indexed citations
2.
Taylor, T. Ajibola, et al.. (2025). Spatial and temporal variation in yellow perch (Perca flavescens) diet: Implications for growth. Journal of Great Lakes Research. 51(6). 102532–102532.
3.
Zorn, Troy G., et al.. (2024). Intraspecific variation in stable isotopes provides insight into adfluvial migrations and ecology of brook trout in Lake Superior tributaries. Journal of Great Lakes Research. 51(1). 102487–102487. 1 indexed citations
4.
5.
Pangle, Kevin L., et al.. (2023). King Rail (Rallus elegans) presence in the Midwestern United States is predicted by local‐scale factors and avian community. Ecology and Evolution. 13(11). e10732–e10732. 4 indexed citations
6.
Gehring, Thomas, et al.. (2023). Ecologically Scaled Responses of Marsh Birds to Invasive Phragmites Expansion and Water-Level Fluctuations. Waterbirds. 45(3). 4 indexed citations
7.
Whitledge, Gregory W., Duane Chapman, John R. Farver, et al.. (2020). Identifying sources and year classes contributing to invasive grass carp in the Laurentian Great Lakes. Journal of Great Lakes Research. 47(1). 14–28. 27 indexed citations
8.
Student, James J., et al.. (2019). Geologic variability underlying stream catchment areas correlates with fish otolith microchemistry across disparate glacial till depths. Fisheries Research. 216. 109–119. 2 indexed citations
9.
McCann, Erin, Liling Li, Kevin L. Pangle, Nicholas S. Johnson, & Jesse Eickholt. (2018). An underwater observation dataset for fish classification and fishery assessment. Scientific Data. 5(1). 180190–180190. 26 indexed citations
10.
Li, Liling, et al.. (2017). A distributed pipeline for DIDSON data processing. 4301–4306. 5 indexed citations
11.
Murry, Brent A., et al.. (2016). Species turnover drives β-diversity patterns across multiple spatial and temporal scales in Great Lake Coastal Wetland Communities. Hydrobiologia. 777(1). 55–66. 17 indexed citations
12.
Larson, Eric R., et al.. (2016). Connecting laboratory behavior to field function through stable isotope analysis. PeerJ. 4. e1918–e1918. 8 indexed citations
13.
14.
Pangle, Kevin L., et al.. (2014). Effectiveness of fishing gears to assess fish assemblage size structure in small lake ecosystems. Fisheries Management and Ecology. 21(3). 211–219. 20 indexed citations
15.
Pangle, Kevin L., et al.. (2014). Shedding subspecies: The influence of genetics on reptile subspecies taxonomy. Molecular Phylogenetics and Evolution. 76. 134–143. 47 indexed citations
16.
Bourdeau, Paul E., et al.. (2013). Finely tuned response of native prey to an invasive predator in a freshwater system. Ecology. 94(7). 1449–1455. 35 indexed citations
17.
Pangle, Kevin L. & Trent M. Sutton. (2005). Temporal changes in the relationship between condition indices and proximate composition of juvenile Coregonus artedi. Journal of Fish Biology. 66(4). 1060–1072. 53 indexed citations
18.
Pangle, Kevin L., et al.. (2004). Overwinter Survival of Juvenile Lake Herring in Relation to Body Size, Physiological Condition, Energy Stores, and Food Ration. Transactions of the American Fisheries Society. 133(5). 1235–1246. 62 indexed citations
19.
Pangle, Kevin L., et al.. (2004). Comparison of Hatchery Performance Attributes among Three Strains of Age-0 Coaster Brook Trout. North American Journal of Aquaculture. 66(4). 278–284. 5 indexed citations
20.
Kreutzweiser, David P., Richard C. Back, Trent M. Sutton, Kevin L. Pangle, & Dean G. Thompson. (2003). Aquatic mesocosm assessments of a neem (azadirachtin) insecticide at environmentally realistic concentrations—2: zooplankton community responses and recovery. Ecotoxicology and Environmental Safety. 59(2). 194–204. 28 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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