David J. Pickup

4.5k total citations · 1 hit paper
50 papers, 3.8k citations indexed

About

David J. Pickup is a scholar working on Virology, Epidemiology and Genetics. According to data from OpenAlex, David J. Pickup has authored 50 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Virology, 25 papers in Epidemiology and 23 papers in Genetics. Recurrent topics in David J. Pickup's work include Poxvirus research and outbreaks (40 papers), Virus-based gene therapy research (23 papers) and Herpesvirus Infections and Treatments (23 papers). David J. Pickup is often cited by papers focused on Poxvirus research and outbreaks (40 papers), Virus-based gene therapy research (23 papers) and Herpesvirus Infections and Treatments (23 papers). David J. Pickup collaborates with scholars based in United States, Canada and Australia. David J. Pickup's co-authors include Caroline A. Ray, Guy S. Salvesen, Dhavalkumar D. Patel, Paul R. Sleath, Roy A. Black, С. Kronheim, Wolfgang K. Joklik, Craig A. Smith, Barbara Ink and R. Mark L. Buller and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David J. Pickup

50 papers receiving 3.8k citations

Hit Papers

Viral inhibition of inflammation: Cowpox virus encodes an... 1992 2026 2003 2014 1992 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
David J. Pickup United States 27 1.6k 1.6k 1.6k 1.1k 1.0k 50 3.8k
Stephen B. Fleming New Zealand 32 1.2k 0.8× 1.5k 0.9× 943 0.6× 768 0.7× 1.0k 1.0× 73 3.0k
Dolores Rodrı́guez Spain 36 1.4k 0.9× 1.2k 0.8× 1.2k 0.7× 1.3k 1.2× 733 0.7× 111 4.3k
Maxine L. Linial United States 34 1.1k 0.7× 1.2k 0.7× 1.5k 1.0× 424 0.4× 1.2k 1.2× 79 3.5k
Rafael Blasco Spain 28 1.1k 0.7× 1.4k 0.8× 934 0.6× 318 0.3× 851 0.8× 60 3.3k
Hung Fan United States 35 705 0.4× 785 0.5× 1.9k 1.2× 853 0.8× 1.0k 1.0× 103 4.4k
Falko G. Falkner Austria 25 1.1k 0.7× 1.1k 0.7× 1.1k 0.7× 789 0.7× 874 0.8× 56 2.9k
Ali Saı̈b France 33 968 0.6× 1.4k 0.9× 1.4k 0.9× 1.0k 0.9× 669 0.6× 63 3.4k
David Derse United States 44 948 0.6× 1.3k 0.8× 1.6k 1.0× 2.4k 2.1× 868 0.8× 90 4.9k
Martin Löchelt Germany 33 1.4k 0.8× 1.5k 0.9× 817 0.5× 482 0.4× 1.2k 1.1× 99 3.0k
Sundararajan Venkatesan United States 37 1.3k 0.8× 2.3k 1.5× 1.9k 1.2× 1.1k 1.0× 725 0.7× 69 4.8k

Countries citing papers authored by David J. Pickup

Since Specialization
Citations

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

Fields of papers citing papers by David J. Pickup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Pickup

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Pickup. A scholar is included among the top collaborators of David J. Pickup 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 J. Pickup. David J. Pickup 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.
Pickup, David J.. (2015). Extracellular Virions: The Advance Guard of Poxvirus Infections. PLoS Pathogens. 11(7). e1004904–e1004904. 29 indexed citations
2.
Alzhanova, Dina, Erika Hammarlund, Jason S. Reed, et al.. (2014). T Cell Inactivation by Poxviral B22 Family Proteins Increases Viral Virulence. PLoS Pathogens. 10(5). e1004123–e1004123. 42 indexed citations
3.
Barefoot, Brice E., Caroline A. Ray, Daniel J. Kenan, et al.. (2011). Cowpox virus induces interleukin-10 both in vitro and in vivo. Virology. 417(1). 87–97. 5 indexed citations
4.
Dekonenko, Alexander, Hitendra S. Chand, Julie A. Hutt, et al.. (2011). Cowpox virus inhibits human dendritic cell immune function by nonlethal, nonproductive infection. Virology. 412(2). 411–425. 14 indexed citations
6.
Byun, Minji, Marieke C. Verweij, David J. Pickup, et al.. (2009). Two Mechanistically Distinct Immune Evasion Proteins of Cowpox Virus Combine to Avoid Antiviral CD8 T Cells. Cell Host & Microbe. 6(5). 422–432. 52 indexed citations
7.
Thornburg, Natalie J., Caroline A. Ray, Martha Collier, et al.. (2007). Vaccination with Venezuelan equine encephalitis replicons encoding cowpox virus structural proteins protects mice from intranasal cowpox virus challenge. Virology. 362(2). 441–452. 20 indexed citations
8.
Pickup, David J.. (2007). Understanding orthopoxvirus interference with host immune responses to inform novel vaccine design. Expert Review of Vaccines. 6(1). 87–95. 9 indexed citations
9.
D’Costa, Susan, et al.. (2003). Post-transcription cleavage generates the 3′ end of F17R transcripts in vaccinia virus. Virology. 319(1). 1–11. 8 indexed citations
10.
Panus, Joanne Fanelli, Craig A. Smith, Caroline A. Ray, et al.. (2002). Cowpox virus encodes a fifth member of the tumor necrosis factor receptor family: A soluble, secreted CD30 homologue. Proceedings of the National Academy of Sciences. 99(12). 8348–8353. 54 indexed citations
11.
Pickup, David J., et al.. (2001). Cowpox Virus and Other Members of the Orthopoxvirus Genus Interfere with the Regulation of NF-κB Activation. Virology. 288(1). 175–187. 69 indexed citations
12.
Howard, Susan T., et al.. (1999). A 43-Nucleotide RNACis-Acting Element Governs the Site-Specific Formation of the 3′ End of a Poxvirus Late mRNA. Virology. 255(1). 190–204. 11 indexed citations
13.
Smith, Craig A., Terri Smith, Pamela J. Smolak, et al.. (1997). Poxvirus Genomes Encode a Secreted, Soluble Protein That Preferentially Inhibits β Chemokine Activity yet Lacks Sequence Homology to Known Chemokine Receptors. Virology. 236(2). 316–327. 158 indexed citations
14.
Ray, Caroline A. & David J. Pickup. (1996). The Mode of Death of Pig Kidney Cells Infected with Cowpox Virus Is Governed by the Expression of thecrmAGene. Virology. 217(1). 384–391. 71 indexed citations
15.
Smith, Craig A., et al.. (1994). Cowpox Virus Contains Two Copies of an Early Gene Encoding a Soluble Secreted Form of the Type II TNF Receptor. Virology. 204(1). 343–356. 159 indexed citations
16.
Spriggs, Melanie K., Dennis E. Hruby, C R Maliszewski, et al.. (1992). Vaccinia and cowpox viruses encode a novel secreted interleukin-1-binding protein. Cell. 71(1). 145–152. 261 indexed citations
17.
Frederickson, Robert, et al.. (1992). The eukaryotic translation initiation factor 4E is not modified during the course of vaccinia virus replication. Virology. 188(2). 934–937. 13 indexed citations
18.
Parsons, Barbara L. & David J. Pickup. (1990). Transcription of orthopoxvirus telomeres at late times during infection. Virology. 175(1). 69–80. 26 indexed citations
19.
Joklik, Wolfgang K., David J. Pickup, Dhavalkumar D. Patel, & Mark D. Moody. (1988). Virulence genes of poxviruses and reoviruses. Vaccine. 6(2). 123–128. 7 indexed citations
20.
Parsons, Barbara L. & David J. Pickup. (1987). Tandemly repeated sequences are present at the ends of the DNA of raccoonpox virus. Virology. 161(1). 45–53. 17 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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