S. Shawn McCafferty

14 total papers · 2.4k total citations
11 papers, 676 citations indexed

About

S. Shawn McCafferty is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, S. Shawn McCafferty has authored 11 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Genetics. Recurrent topics in S. Shawn McCafferty's work include Genetic diversity and population structure (5 papers), Plant and animal studies (3 papers) and Coleoptera Taxonomy and Distribution (2 papers). S. Shawn McCafferty is often cited by papers focused on Genetic diversity and population structure (5 papers), Plant and animal studies (3 papers) and Coleoptera Taxonomy and Distribution (2 papers). S. Shawn McCafferty collaborates with scholars based in United States, Panama and Netherlands. S. Shawn McCafferty's co-authors include Douglas J. Futuyma, Eldredge Bermingham, Edward Allen Herre, Carlos A. Machado, Kyle Summers, Lee A. Weigt, Donald M. Windsor, Konrad Bachmann, J. D. Nason and Kazue Asoh and has published in prestigious journals such as Evolution, Developmental Biology and Molecular Ecology.

In The Last Decade

S. Shawn McCafferty

11 papers receiving 623 citations

Author Peers

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

Author Last Decade Papers Cites
S. Shawn McCafferty 402 201 181 171 160 11 676
Camille Pitteloud 355 0.9× 230 1.1× 174 1.0× 196 1.1× 116 0.7× 21 726
Timothy G. Carr 316 0.8× 160 0.8× 209 1.2× 90 0.5× 124 0.8× 12 573
Gary C. Longo 192 0.5× 192 1.0× 269 1.5× 114 0.7× 88 0.6× 18 618
Konrad Dolphin 369 0.9× 112 0.6× 135 0.7× 195 1.1× 90 0.6× 8 562
Marie-Caroline Lefort 170 0.4× 150 0.7× 212 1.2× 87 0.5× 169 1.1× 15 583
W. Donald Duckworth 488 1.2× 282 1.4× 85 0.5× 200 1.2× 120 0.8× 26 791
José Cerca 239 0.6× 229 1.1× 178 1.0× 85 0.5× 57 0.4× 24 648
Guanyang Zhang 289 0.7× 192 1.0× 237 1.3× 61 0.4× 202 1.3× 13 641
Mari Mette Tollefsrud 158 0.4× 275 1.4× 102 0.6× 224 1.3× 114 0.7× 15 670
Peter D. Ashlock 368 0.9× 197 1.0× 145 0.8× 92 0.5× 131 0.8× 22 723

Countries citing papers authored by S. Shawn McCafferty

Since Specialization
Citations

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

Fields of papers citing papers by S. Shawn McCafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Shawn McCafferty

This figure shows the co-authorship network connecting the top 25 collaborators of S. Shawn McCafferty. A scholar is included among the top collaborators of S. Shawn McCafferty 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 S. Shawn McCafferty. S. Shawn McCafferty 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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