Justin D. Brown

5.9k citations
158 papers · 4.0k indexed · h-index 35

Impact in

Papers in

Justin D. Brown

153 papers receiving 3.9k citations

Peers

Justin D. Brown
Comparison fields: 5 of 123
  • Agronomy and Crop Science 1.6k
  • Infectious Diseases 2.1k
  • Epidemiology 2.4k
  • Modeling and Simulation 248
  • Parasitology 334
Replace Christoph Staubach with:
Christoph Staubach Germany
U. Wernery United Arab Emirates
Rebecca Halpin United States
Thomas J. DeLiberto United States
Donata Hoffmann Germany
Dirk W. Höper Germany
Janet M. Daly United Kingdom
Yoshihiro Sakoda Japan
Justin Bahl United States
Andrew M. Ramey United States
Justin D. Brown relative to Christoph Staubach Germany Christoph Staubach's profile →
Citations per field
00.5×1.5×2.3×
Christoph Staubach · 1×
Citations per year

Countries citing papers authored by Justin D. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Justin D. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Justin D. Brown, 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 Justin D. Brown Line = papers co-authored together Justin D. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20240
5 20241
6 20232
7 20235
8 20227
9 20217
10 201818
11 201721
12 201617
13 201518
14 201522
15 201412
16 201332
17 2012110
18 201050
19 20086
20 20069

About Justin D. Brown

Justin D. Brown is a scholar working on Parasitology, Agronomy and Crop Science, Infectious Diseases, Virology and Epidemiology, having authored 158 papers that have together received 4.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (59 papers), Viral Infections and Vectors (51 papers), Animal Disease Management and Epidemiology (50 papers), Respiratory viral infections research (21 papers), Animal Virus Infections Studies (17 papers), Bird parasitology and diseases (15 papers), Herpesvirus Infections and Treatments (15 papers) and Dermatological diseases and infestations (12 papers). The work is most often cited by research in Agronomy and Crop Science (1.6k citations), Infectious Diseases (2.1k citations), Epidemiology (2.4k citations), Modeling and Simulation (248 citations) and Parasitology (334 citations). Justin D. Brown has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David E. Stallknecht, David E. Swayne, Rebecca L. Poulson, Michael J. Yabsley, Rachel E. Burns, Taiana Costa, Robert J. Cooper, Jonathan M. Sleeman, Joan R. Beck and David L. Suarez. Their work appears in journals such as Journal of Wildlife Diseases, Avian Diseases, PLoS ONE, Veterinary Parasitology Regional Studies and Reports and International Journal for Parasitology Parasites and Wildlife.

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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