Vienna R. Brown

1.3k total citations
38 papers, 862 citations indexed

About

Vienna R. Brown is a scholar working on Agronomy and Crop Science, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Vienna R. Brown has authored 38 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Agronomy and Crop Science, 12 papers in Infectious Diseases and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Vienna R. Brown's work include Animal Disease Management and Epidemiology (20 papers), Vector-Borne Animal Diseases (11 papers) and Animal Virus Infections Studies (6 papers). Vienna R. Brown is often cited by papers focused on Animal Disease Management and Epidemiology (20 papers), Vector-Borne Animal Diseases (11 papers) and Animal Virus Infections Studies (6 papers). Vienna R. Brown collaborates with scholars based in United States, Australia and Thailand. Vienna R. Brown's co-authors include Sarah N. Bevins, Richard A. Bowen, Danielle R. Adney, Vincent J. Munster, Trenton Bushmaker, Dana Scott, Neeltje van Doremalen, Emmie de Wit, Angela M. Bosco‐Lauth and Ryan S. Miller and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Vienna R. Brown

35 papers receiving 842 citations

Peers

Vienna R. Brown
Comparison fields: 5 of 65
  • Infectious Diseases 487
  • Agronomy and Crop Science 310
  • Animal Science and Zoology 259
  • Ecology, Evolution, Behavior and Systematics 190
  • Epidemiology 149
Replace Daniel Oladimeji Oluwayelu with:
Daniel Oladimeji Oluwayelu Nigeria
Kore Schlottau Germany
Jessie D. Trujillo United States
Baoxu Huang China
Carissa Embury‐Hyatt Canada
Eefke Weesendorp Netherlands
Gian Luca Autorino Italy
David Solanes Spain
Bounlom Douangngeun Laos
Randall W. Renshaw United States
Daniel Oladimeji Oluwayelu Nigeria View profile →
Citations per field, relative to Vienna R. Brown
Vienna R. Brown · 1×
Citations per year, relative to Vienna R. Brown
Vienna R. Brown · 1×

Countries citing papers authored by Vienna R. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Vienna R. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vienna R. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Vienna R. Brown. A scholar is included among the top collaborators of Vienna R. 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 Vienna R. Brown. Vienna R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 10
6 2
7 3
8 3
9 4
10 4
11 1
12 11
13 9
14 6
15 4
16 53
17 84
18 127
19 7
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026