Duncan Brown

18 total papers · 505 total citations
15 papers, 393 citations indexed

About

Duncan Brown is a scholar working on Insect Science, Parasitology and Immunology. According to data from OpenAlex, Duncan Brown has authored 15 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Insect Science, 9 papers in Parasitology and 7 papers in Immunology. Recurrent topics in Duncan Brown's work include Vector-borne infectious diseases (9 papers), Insect and Pesticide Research (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Duncan Brown is often cited by papers focused on Vector-borne infectious diseases (9 papers), Insect and Pesticide Research (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Duncan Brown collaborates with scholars based in United Kingdom, Czechia and United States. Duncan Brown's co-authors include Erol Kirvar, Brian Shiels, P. Hooshmand‐Rad, Gwen Wilkie, Frank Katzer, Andrew Tait, A. Uggla, Laurence Tetley, Andy Tait and Jane Kinnaird and has published in prestigious journals such as Journal of Cell Science, Annals of the New York Academy of Sciences and British Journal Of Nutrition.

In The Last Decade

Duncan Brown

15 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Duncan Brown 280 147 126 119 81 15 393
Roger Rubiera 222 0.8× 104 0.7× 144 1.1× 192 1.6× 80 1.0× 8 426
Antonio Enrı́quez 252 0.9× 110 0.7× 141 1.1× 97 0.8× 101 1.2× 9 343
J.G.R. Ocama 366 1.3× 105 0.7× 241 1.9× 58 0.5× 155 1.9× 13 412
Isabel Marcelino 204 0.7× 81 0.6× 89 0.7× 109 0.9× 120 1.5× 28 399
J.H. Patarroyo 327 1.2× 104 0.7× 163 1.3× 79 0.7× 129 1.6× 22 401
Sue McKellar 373 1.3× 150 1.0× 127 1.0× 124 1.0× 55 0.7× 13 442
Melina Garcia Guizzo 317 1.1× 265 1.8× 94 0.7× 50 0.4× 112 1.4× 16 429
Daniël de Klerk 252 0.9× 125 0.9× 141 1.1× 80 0.7× 117 1.4× 13 381
Heba F. Alzan 349 1.2× 94 0.6× 175 1.4× 75 0.6× 153 1.9× 31 412
C M Groocock 177 0.6× 55 0.4× 233 1.8× 57 0.5× 124 1.5× 16 386

Countries citing papers authored by Duncan Brown

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan Brown. 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 Duncan Brown. The network helps show where Duncan Brown may publish in the future.

Co-authorship network of co-authors of Duncan Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan Brown. A scholar is included among the top collaborators of Duncan Brown 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 Duncan Brown. Duncan Brown 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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