Kathryn C. Gamble

72 total papers · 1.9k total citations
49 papers, 814 citations indexed

About

Kathryn C. Gamble is a scholar working on Small Animals, Parasitology and Animal Science and Zoology. According to data from OpenAlex, Kathryn C. Gamble has authored 49 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Small Animals, 11 papers in Parasitology and 9 papers in Animal Science and Zoology. Recurrent topics in Kathryn C. Gamble's work include Bird parasitology and diseases (7 papers), Turtle Biology and Conservation (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Kathryn C. Gamble is often cited by papers focused on Bird parasitology and diseases (7 papers), Turtle Biology and Conservation (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Kathryn C. Gamble collaborates with scholars based in United States, United Kingdom and France. Kathryn C. Gamble's co-authors include Dawn M. Boothe, Emma E. Thompson, Carole Ober, Laure Ségurel, Timothée Flutre, Molly Przeworski, Aarti Venkat, Susan W. Margulis, Guy Sella and Karen A. Terio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Emerging infectious diseases and Copeia.

In The Last Decade

Kathryn C. Gamble

47 papers receiving 744 citations

Author Peers

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

Author Last Decade Papers Cites
Kathryn C. Gamble 181 144 130 118 109 49 814
Graham J. Crawshaw 163 0.9× 148 1.0× 89 0.7× 224 1.9× 161 1.5× 61 924
Mark L. Drew 226 1.2× 115 0.8× 176 1.4× 77 0.7× 235 2.2× 49 969
J. Jill Heatley 123 0.7× 105 0.7× 222 1.7× 137 1.2× 99 0.9× 73 808
Linda L. Werner 170 0.9× 115 0.8× 189 1.5× 72 0.6× 103 0.9× 36 883
Peter Holz 144 0.8× 82 0.6× 241 1.9× 191 1.6× 180 1.7× 48 893
Larry Vogelnest 172 1.0× 88 0.6× 139 1.1× 41 0.3× 170 1.6× 59 752
Michael R. Loomis 166 0.9× 101 0.7× 54 0.4× 94 0.8× 117 1.1× 39 793
Scott P. Terrell 130 0.7× 114 0.8× 153 1.2× 109 0.9× 118 1.1× 48 709
Rafaela Cuenca 236 1.3× 111 0.8× 186 1.4× 200 1.7× 102 0.9× 51 859
J. R. Needham 84 0.5× 76 0.5× 62 0.5× 108 0.9× 71 0.7× 47 761

Countries citing papers authored by Kathryn C. Gamble

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn C. Gamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn C. Gamble. 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 Kathryn C. Gamble. The network helps show where Kathryn C. Gamble may publish in the future.

Co-authorship network of co-authors of Kathryn C. Gamble

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn C. Gamble. A scholar is included among the top collaborators of Kathryn C. Gamble 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 Kathryn C. Gamble. Kathryn C. Gamble 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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