Lindsie M. McCabe

32 total papers · 598 total citations
18 papers, 306 citations indexed

About

Lindsie M. McCabe is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science and Genetics. According to data from OpenAlex, Lindsie M. McCabe has authored 18 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, Evolution, Behavior and Systematics, 14 papers in Insect Science and 10 papers in Genetics. Recurrent topics in Lindsie M. McCabe's work include Plant and animal studies (16 papers), Insect and Pesticide Research (13 papers) and Insect and Arachnid Ecology and Behavior (10 papers). Lindsie M. McCabe is often cited by papers focused on Plant and animal studies (16 papers), Insect and Pesticide Research (13 papers) and Insect and Arachnid Ecology and Behavior (10 papers). Lindsie M. McCabe collaborates with scholars based in United States, Germany and Canada. Lindsie M. McCabe's co-authors include Neil S. Cobb, Dave Smith, Bradley J. Butterfield, Michael C. Orr, Jonathan B. Koch, Laura Melissa Guzman, James P. Strange, Miranda D. Redmond, Akito Y. Kawahara and Charles J. W. Carroll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Ecology.

In The Last Decade

Lindsie M. McCabe

15 papers receiving 300 citations

Hit Papers

Recent and future decline... 2023 2026 2024 2023 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lindsie M. McCabe 220 123 102 96 92 18 306
Sabrina S. Gavini 207 0.9× 80 0.7× 122 1.2× 47 0.5× 120 1.3× 16 291
Diego Jordano 199 0.9× 68 0.6× 149 1.5× 118 1.2× 64 0.7× 30 335
Jérôme Orgeas 152 0.7× 111 0.9× 132 1.3× 124 1.3× 61 0.7× 20 333
Petra Dieker 161 0.7× 58 0.5× 103 1.0× 86 0.9× 41 0.4× 21 270
Klaus Müller‐Hohenstein 163 0.7× 47 0.4× 182 1.8× 64 0.7× 68 0.7× 16 317
Anselm Kratochwil 197 0.9× 82 0.7× 134 1.3× 61 0.6× 147 1.6× 30 301
William P. Haines 173 0.8× 117 1.0× 59 0.6× 98 1.0× 71 0.8× 27 305
Opeyemi Adedoja 239 1.1× 81 0.7× 153 1.5× 45 0.5× 176 1.9× 18 342
David N. Zaya 209 0.9× 63 0.5× 136 1.3× 83 0.9× 88 1.0× 28 331
Rafael E. Cárdenas 175 0.8× 105 0.9× 134 1.3× 71 0.7× 49 0.5× 21 346

Countries citing papers authored by Lindsie M. McCabe

Since Specialization
Citations

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

Fields of papers citing papers by Lindsie M. McCabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindsie M. McCabe

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

All Works

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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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