J. Brownlie

99 papers receiving 3.3k citations

Peers

J. Brownlie
Comparison fields: 5 of 126
  • Agronomy and Crop Science 2.4k
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Infectious Diseases 1.1k
  • Microbiology 314
  • Animal Science and Zoology 447
Replace Bryan Charleston with:
Bryan Charleston United Kingdom
M. Daniel Givens United States
Joe Brownlie United Kingdom
Z. Pejsak Poland
Klaus Depner Germany
Marie‐Frédérique Le Potier France
Carol J. Cardona United States
Hua‐Ji Qiu China
Y. Μ. Saif United States
Emmanuel Albina France
J. Brownlie relative to Bryan Charleston United Kingdom Bryan Charleston's profile →
Citations per field
00.5×1.5×2.1×
Bryan Charleston · 1×
Citations per year

Countries citing papers authored by J. Brownlie

Since Specialization
Citations

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

Fields of papers citing papers by J. Brownlie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984356
2 2008244
3 2006180
4 2006143
5
Pathogenesis and epidemiology of bovine virus diarrhoea virus infection of cattle.
1987137
6 1990118
7 1997117
8 1987107
9 1987101
10 1991100
11 1989100
12 198985
13 200873
14 199571
15 199571
16 199270
17 201369
18 198565
19 198063
20 200656

About J. Brownlie

J. Brownlie is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Immunology, Infectious Diseases and Animal Science and Zoology, having authored 99 papers that have together received 3.6k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (49 papers), Vector-Borne Animal Diseases (33 papers), T-cell and Retrovirus Studies (18 papers), Viral gastroenteritis research and epidemiology (16 papers), Animal Virus Infections Studies (14 papers), Microbial infections and disease research (11 papers), Virus-based gene therapy research (7 papers) and Viral Infections and Immunology Research (7 papers). The work is most often cited by research in Agronomy and Crop Science (2.4k citations), Ecology, Evolution, Behavior and Systematics (1.7k citations), Infectious Diseases (1.1k citations), Microbiology (314 citations) and Animal Science and Zoology (447 citations). J. Brownlie has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Chris Howard, Martin Clarke, C.J. Howard, M Clarke, Margaret E. Collins, R.N. Gourlay, P. Sopp, Kerstin Erles, Yves Leforban and Donald R. Mackay. Their work appears in journals such as Veterinary Record, Research in Veterinary Science, Veterinary Microbiology, Archives of Virology and Veterinary Immunology and Immunopathology.

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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