J. R. Egerton

184 total papers · 5.5k total citations
153 papers, 4.4k citations indexed

About

J. R. Egerton is a scholar working on Small Animals, Microbiology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. R. Egerton has authored 153 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Small Animals, 46 papers in Microbiology and 29 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. R. Egerton's work include Microbial infections and disease research (46 papers), Helminth infection and control (38 papers) and Animal Disease Management and Epidemiology (26 papers). J. R. Egerton is often cited by papers focused on Microbial infections and disease research (46 papers), Helminth infection and control (38 papers) and Animal Disease Management and Epidemiology (26 papers). J. R. Egerton collaborates with scholars based in Australia, United States and United Kingdom. J. R. Egerton's co-authors include D. S. Roberts, I. M. Parsonson, C.H. Eary, D. Suhayda, William C. Campbell, John S. Mattick, C. R. Huxtable, Belinda Anderson, Om P. Dhungyel and N. P. H. Graham and has published in prestigious journals such as Nature, The Lancet and Journal of the American Chemical Society.

In The Last Decade

J. R. Egerton

145 papers receiving 3.9k citations

Author Peers

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

Author						Papers	Cites
J. R. Egerton	1.7k	1.5k	835	698	614	153	4.4k
Bruno Goddeeris	887 0.5×	977 0.7×	664 0.8×	491 0.7×	2.1k 3.4×	312	9.5k
D.L. Emery	1.3k 0.8×	343 0.2×	264 0.3×	303 0.4×	321 0.5×	143	3.3k
Johann F. Coetzee	2.8k 1.7×	501 0.3×	949 1.1×	264 0.4×	286 0.5×	270	5.3k
Ramón A. Juste	1.2k 0.7×	597 0.4×	1.3k 1.6×	263 0.4×	1.2k 2.0×	241	7.7k
Wendy C. Brown	464 0.3×	570 0.4×	615 0.7×	744 1.1×	1.0k 1.6×	198	6.9k
Elizabeth Glass	339 0.2×	637 0.4×	1.2k 1.4×	321 0.5×	700 1.1×	148	4.3k
D. L. Harris	1.1k 0.7×	262 0.2×	367 0.4×	309 0.4×	276 0.4×	120	3.3k
Grace Mulcahy	3.0k 1.8×	311 0.2×	422 0.5×	339 0.5×	586 1.0×	145	5.6k
David W. Hird	839 0.5×	548 0.4×	697 0.8×	116 0.2×	196 0.3×	127	3.4k
Pete Kaiser	838 0.5×	866 0.6×	451 0.5×	158 0.2×	1.2k 1.9×	168	7.5k

Countries citing papers authored by J. R. Egerton

Since Specialization

Citations

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

Fields of papers citing papers by J. R. Egerton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. R. Egerton. 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 J. R. Egerton. The network helps show where J. R. Egerton may publish in the future.

Co-authorship network of co-authors of J. R. Egerton

This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Egerton. A scholar is included among the top collaborators of J. R. Egerton 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 J. R. Egerton. J. R. Egerton 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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