Matthew LeBreton

6.0k citations
75 papers · 2.2k · h-index 27

Impact in

Papers in

Matthew LeBreton

73 papers receiving 2.2k citations

Peers

Matthew LeBreton
Comparison fields: 5 of 114
  • Virology 334
  • Agronomy and Crop Science 465
  • Infectious Diseases 718
  • Ecological Modeling 154
  • Ecology, Evolution, Behavior and Systematics 393
Replace Olivier Restif with:
Olivier Restif United Kingdom
Carlos Zambrana‐Torrelio United States
Craig Stephen Canada
Malcolm Bennett United Kingdom
Vladimir Grosbois France
Samuel Alizon France
Kevin J. Olival United States
Luis E. Escobar United States
Tiffany L. Bogich United States
Juliet R.C. Pulliam United States
Matthew LeBreton relative to Olivier Restif United Kingdom Olivier Restif's profile →
Citations per field
00.5×3.3×
Olivier Restif · 1×
Citations per year

Countries citing papers authored by Matthew LeBreton

Since Specialization
Citations

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

Fields of papers citing papers by Matthew LeBreton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew LeBreton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew LeBreton Line = papers co-authored together Matthew LeBreton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005305
2 2009170
3 2014142
4 201090
5 201972
6 200669
7 201065
8 201464
9 200459
10 201455
11 201350
12 201950
13 201249
14 201649
15 201147
16 201443
17 201643
18 201041
19 201039
20 201838

About Matthew LeBreton

Matthew LeBreton is a scholar working on Infectious Diseases, Epidemiology, Ecology, Public Health, Environmental and Occupational Health and Genetics, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Zoonotic diseases and public health (13 papers), Animal Disease Management and Epidemiology (13 papers), Amphibian and Reptile Biology (13 papers), Wildlife Ecology and Conservation (12 papers), HIV/AIDS Research and Interventions (10 papers), Species Distribution and Climate Change (9 papers), Viral Infections and Vectors (9 papers) and Herpesvirus Infections and Treatments (8 papers). The work is most often cited by research in Virology (334 citations), Agronomy and Crop Science (465 citations), Infectious Diseases (718 citations), Ecological Modeling (154 citations) and Ecology, Evolution, Behavior and Systematics (393 citations). Matthew LeBreton has collaborated with scholars based in United States, Cameroon and France. Frequent co-authors include Nathan Wolfe, Ubald Tamoufé, Cyrille F. Djoko, Eitel Mpoudi‐Ngolé, Joseph Le Doux Diffo, Donald S. Burke, A. Tassy Prosser, William M. Switzer, Jean K. Carr and Laurent Chirio. Their work appears in journals such as Emerging infectious diseases, Retrovirology, EcoHealth, Animal Conservation and African Journal of Herpetology.

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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