J. Brownlie

8.8k total citations · 1 hit paper
124 papers, 6.1k citations indexed

About

J. Brownlie is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Immunology. According to data from OpenAlex, J. Brownlie has authored 124 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Agronomy and Crop Science, 36 papers in Ecology, Evolution, Behavior and Systematics and 32 papers in Immunology. Recurrent topics in J. Brownlie's work include Animal Disease Management and Epidemiology (50 papers), Vector-Borne Animal Diseases (34 papers) and Insect symbiosis and bacterial influences (21 papers). J. Brownlie is often cited by papers focused on Animal Disease Management and Epidemiology (50 papers), Vector-Borne Animal Diseases (34 papers) and Insect symbiosis and bacterial influences (21 papers). J. Brownlie collaborates with scholars based in United States, United Kingdom and Australia. J. Brownlie's co-authors include Karyn N. Johnson, Scott L. O’Neill, Lauren M. Hedges, Chris Howard, Martin Clarke, C.J. Howard, M Clarke, Margaret E. Collins, Christopher Love and Elizabeth A. McGraw and has published in prestigious journals such as Science, The Journal of Immunology and Gastroenterology.

In The Last Decade

J. Brownlie

122 papers receiving 5.8k citations

Hit Papers

Wolbachia and Virus Protection in Insects 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Brownlie United States 39 2.4k 2.1k 2.0k 1.3k 802 124 6.1k
Richard P. Bishop Kenya 43 1.6k 0.7× 779 0.4× 2.8k 1.4× 1.8k 1.3× 464 0.6× 176 6.0k
Misao Onuma Japan 41 1.6k 0.7× 1.0k 0.5× 2.2k 1.1× 1.0k 0.8× 2.7k 3.3× 360 6.4k
Peter J. Walker Australia 46 741 0.3× 1.3k 0.6× 1.4k 0.7× 2.2k 1.7× 2.2k 2.8× 182 6.4k
Houssam Attoui France 43 1.4k 0.6× 360 0.2× 2.2k 1.1× 3.8k 2.8× 303 0.4× 111 5.1k
Vikram N. Vakharia United States 43 635 0.3× 582 0.3× 634 0.3× 1.1k 0.9× 1.6k 2.0× 124 5.3k
Andrew M. Q. King United Kingdom 38 2.0k 0.8× 323 0.2× 916 0.5× 2.0k 1.5× 437 0.5× 63 6.4k
Norbert Nowotny Austria 57 745 0.3× 1.4k 0.6× 1.3k 0.6× 6.4k 4.8× 635 0.8× 279 10.7k
Peter W. Mason United States 62 3.1k 1.3× 737 0.3× 1.6k 0.8× 4.5k 3.4× 1.4k 1.7× 142 10.6k
Claudio L. Afonso United States 55 2.9k 1.2× 311 0.1× 1.9k 1.0× 2.5k 1.9× 882 1.1× 187 10.3k
Elizabeth Glass United Kingdom 38 1.2k 0.5× 324 0.2× 928 0.5× 665 0.5× 1.5k 1.9× 148 4.3k

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-authorship network of co-authors of J. Brownlie

This figure shows the co-authorship network connecting the top 25 collaborators of J. Brownlie. A scholar is included among the top collaborators of J. Brownlie 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 J. Brownlie. J. Brownlie 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
1.
Brownlie, J., et al.. (2025). Metabolic analysis of wound response in Wolbachia-infected Drosophila melanogaster. Australian Journal of Chemistry. 78(11).
2.
Bi, Jie, Ya Zheng, Ruifang Wang, et al.. (2018). Wolbachia infection may improve learning and memory capacity of Drosophila by altering host gene expression through microRNA. Insect Biochemistry and Molecular Biology. 106. 47–54. 9 indexed citations
3.
Frentiu, Francesca D., et al.. (2016). Intensity of Mutualism Breakdown Is Determined by Temperature Not Amplification of Wolbachia Genes. PLoS Pathogens. 12(9). e1005888–e1005888. 15 indexed citations
4.
Woolfit, Megan, Iñaki Iturbe‐Ormaetxe, J. Brownlie, et al.. (2013). Genomic Evolution of the Pathogenic Wolbachia Strain, wMelPop. Genome Biology and Evolution. 5(11). 2189–2204. 79 indexed citations
5.
Hedges, Lauren M., J. Brownlie, Scott L. O’Neill, & Karyn N. Johnson. (2008). Wolbachia and Virus Protection in Insects. Science. 322(5902). 702–702. 879 indexed citations breakdown →
6.
Rweyemamu, Mark M., P. L. Roeder, Donald R. Mackay, et al.. (2008). Planning for the Progressive Control of Foot-and-Mouth Disease Worldwide. Transboundary and Emerging Diseases. 55(1). 73–87. 73 indexed citations
7.
Ryan, Eoin, Zhidong Zhang, Harriet W. Brooks, Jacquelyn Horsington, & J. Brownlie. (2007). Foot-and-Mouth Disease Virus Crosses the Placenta and Causes Death in Fetal Lambs. Journal of Comparative Pathology. 136(4). 256–265. 15 indexed citations
9.
Brownlie, J., Nicholas Johnson, & Steve Whyard. (2005). The Caenorhabditis briggsae genome contains active CbmaT1 and Tcb1 transposons. Molecular Genetics and Genomics. 273(1). 92–101. 5 indexed citations
10.
Stokstad, Maria, J. Brownlie, & Margaret E. Collins. (2004). Analysis of variation of bovine viral diarrhoea virus E2 sequence following transplacental infection of cattle. Veterinary Microbiology. 102(3-4). 141–145. 9 indexed citations
11.
Brownlie, J.. (2001). Strategic decisions to evaluate before implementing a vaccine programme in the face of a foot-and-mouth disease (FMD) outbreak.. PubMed. 148(12). 358–60. 14 indexed citations
12.
Ditcham, William, et al.. (2001). An immunosensor with potential for the detection of viral antigens in body fluids, based on surface second harmonic generation. Biosensors and Bioelectronics. 16(3). 221–224. 12 indexed citations
13.
Collins, Margaret E., et al.. (1998). Genome Instability in BVDV: An Examination of the Sequence and Structural Influences on RNA Recombination. Virology. 246(2). 352–361. 16 indexed citations
14.
Brownlie, J.. (1996). Bovine virus diarrhoea virus vaccines and vaccination. The Bovine Practitioner. 32–35. 2 indexed citations
15.
Brownlie, J., Michael Clarke, Lee Hooper, & G. D. Bell. (1995). Protection of the bovine fetus from bovine viral diarrhoea virus by means of a new inactivated vaccine. Veterinary Record. 137(3). 58–62. 71 indexed citations
16.
Kertayadnya, G., G.E. Wilcox, Nining Hartaningsih, et al.. (1993). Characteristics of a retrovirus associated with Jembrana disease in Bali cattle. Journal of General Virology. 74(9). 1765–1773. 46 indexed citations
17.
Mignon, Bernard, A. Schwers, D. Boulanger, et al.. (1990). Study of the antigenic stability of a noncytopathic BVD virus strain in heifers with experimental persistent infection.. Annales de médecine vétérinaire. 134(5). 325–329. 5 indexed citations
18.
Howard, C.J., J. Brownlie, & LH Thomas. (1987). Prevalence of bovine virus diarrhoea virus viraemia in cattle in the UK.. PubMed. 119(25-26). 628–9. 35 indexed citations
19.
Brownlie, J. & E. J. Stott. (1979). The response of bovine lymphocytes from lymph and blood to phytohaemagglutinin. Veterinary Immunology and Immunopathology. 1(1). 5–13. 9 indexed citations
20.
Brownlie, J. & K. G. Hibbitt. (1972). ANTIMICROBIAL PROTEINS ISOLATED FROM BOVINE CERVICAL MUCUS. Reproduction. 29(3). 337–347. 14 indexed citations

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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