David G. Westcott

492 total citations
10 papers, 301 citations indexed

About

David G. Westcott is a scholar working on Animal Science and Zoology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David G. Westcott has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Animal Science and Zoology, 6 papers in Genetics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David G. Westcott's work include Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (6 papers) and Viral Infections and Immunology Research (4 papers). David G. Westcott is often cited by papers focused on Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (6 papers) and Viral Infections and Immunology Research (4 papers). David G. Westcott collaborates with scholars based in United Kingdom, Austria and United States. David G. Westcott's co-authors include Trevor W. Drew, Tahar Aït-Ali, Stephen Bishop, Alan Archibald, Jean‐Pierre Frossard, Martin Waterfall, Martha A. Mellencamp, Victor A. Brugman, Gemma E. Seabright and Sean W. J. Prosser and has published in prestigious journals such as Gene, Cell Reports and Veterinary Microbiology.

In The Last Decade

David G. Westcott

9 papers receiving 300 citations

Peers

David G. Westcott

ID

ASZ

GENET

MB

VIROL

Danijela Rihtarič Slovenia

J. Sarraseca France

Eduardo Mórtola Argentina

Navapon Techakriengkrai Thailand

Yadi Tan China

Attila Farsang Hungary

Giulia Dowgier United Kingdom

W. P. A. Posthumus Netherlands

J. Ederveen Netherlands

Akiko Takenaka‐Uema Japan

Danijela Rihtarič Slovenia

David G. Westcott

243 ×1.3

ID

119 ×0.7

ASZ

47 ×0.5

GENET

36 ×0.6

MB

49 ×1.0

VIROL

Citations per year, relative to David G. Westcott David G. Westcott (= 1×) peers Danijela Rihtarič

Countries citing papers authored by David G. Westcott

Since Specialization

Citations

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

Fields of papers citing papers by David G. Westcott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Westcott. 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 David G. Westcott. The network helps show where David G. Westcott may publish in the future.

Co-authorship network of co-authors of David G. Westcott

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

All Works

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10 of 10 papers shown

1.

Westcott, David G., et al.. (2022). Identification of Equine Arteritis Virus Immunodominant Epitopes Using a Peptide Microarray. Viruses. 14(9). 1880–1880.

2.

Struwe, Weston B., Elena Chertova, Joel D. Allen, et al.. (2018). Site-Specific Glycosylation of Virion-Derived HIV-1 Env Is Mimicked by a Soluble Trimeric Immunogen. Cell Reports. 24(8). 1958–1966.e5. 78 indexed citations

3.

Brugman, Victor A., Luis M. Hernández‐Triana, Sean W. J. Prosser, et al.. (2015). Molecular species identification, host preference and detection of myxoma virus in the Anopheles maculipennis complex (Diptera: Culicidae) in southern England, UK. Parasites & Vectors. 8(1). 421–421. 33 indexed citations

4.

Frossard, Jean‐Pierre, et al.. (2012). Porcine reproductive and respiratory syndrome virus: Antigenic and molecular diversity of British isolates and implications for diagnosis. Veterinary Microbiology. 158(3-4). 308–315. 15 indexed citations

5.

Frossard, Jean‐Pierre, G. Hughes, David G. Westcott, et al.. (2012). Porcine reproductive and respiratory syndrome virus: Genetic diversity of recent British isolates. Veterinary Microbiology. 162(2-4). 507–518. 34 indexed citations

6.

Aït-Ali, Tahar, Wilfrid Carré, David G. Westcott, et al.. (2011). Host inhibits replication of European porcine reproductive and respiratory syndrome virus in macrophages by altering differential regulation of type-I interferon transcriptional response. Immunogenetics. 63(7). 437–448. 25 indexed citations

7.

Aït-Ali, Tahar, Heather Finlayson, Wilfrid Carré, et al.. (2009). Functional analysis of the porcine USP18 and its role during porcine arterivirus replication. Gene. 439(1-2). 35–42. 12 indexed citations

8.

Aït-Ali, Tahar, David G. Westcott, Martin Waterfall, et al.. (2007). Innate Immune Responses to Replication of Porcine Reproductive And Respiratory Syndrome Virus in Isolated Swine Alveolar Macrophages. Viral Immunology. 20(1). 105–118. 84 indexed citations

9.

Manser, Paul T. & David G. Westcott. (2005). Equine viral arteritis in a stallion.. PubMed. 156(1). 28–28. 2 indexed citations

10.

Westcott, David G., Donald P. King, Trevor W. Drew, et al.. (2003). Use of an internal standard in a closed one-tubeRT-PCR for the detection of equine arteritis virus RNA with fluorescent probes. Veterinary Research. 34(2). 165–176. 18 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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