David J. Woollard

1.6k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

David J. Woollard is a scholar working on Hepatology, Animal Science and Zoology and Immunology. According to data from OpenAlex, David J. Woollard has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hepatology, 5 papers in Animal Science and Zoology and 5 papers in Immunology. Recurrent topics in David J. Woollard's work include Hepatitis C virus research (6 papers), Parasitic Infections and Diagnostics (5 papers) and Hepatitis B Virus Studies (4 papers). David J. Woollard is often cited by papers focused on Hepatitis C virus research (6 papers), Parasitic Infections and Diagnostics (5 papers) and Hepatitis B Virus Studies (4 papers). David J. Woollard collaborates with scholars based in Australia, New Zealand and United States. David J. Woollard's co-authors include Krishna K. Murthy, Christopher M. Walker, Arash Grakoui, Naglaa H. Shoukry, John Ghrayeb, Holly L. Hanson, Charles M. Rice, Jin‐Hwan Han, Marshall W. Lightowlers and Charles G. Gauci and has published in prestigious journals such as Science, Hepatology and Journal of Virology.

In The Last Decade

David J. Woollard

16 papers receiving 1.2k citations

Hit Papers

HCV Persistence and Immune Evasion in the Absence of Memo... 2003 2026 2010 2018 2003 200 400 600

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. Woollard Australia 16 598 464 396 261 249 16 1.3k
Gerald Eder Austria 15 695 1.2× 683 1.5× 143 0.4× 70 0.3× 37 0.1× 39 1.4k
Mayra Cruz‐Rivera Mexico 14 148 0.2× 184 0.4× 90 0.2× 101 0.4× 119 0.5× 33 532
Abha Chopra Australia 22 264 0.4× 340 0.7× 367 0.9× 44 0.2× 13 0.1× 82 1.3k
Raphaële Germi France 15 155 0.3× 394 0.8× 110 0.3× 98 0.4× 38 0.2× 49 870
Hilario J. Ramos United States 15 277 0.5× 430 0.9× 827 2.1× 20 0.1× 22 0.1× 25 1.5k
Kurt H. Edelmann United States 11 115 0.2× 504 1.1× 1.0k 2.6× 25 0.1× 22 0.1× 16 1.7k
Lesley Pesnicak United States 24 22 0.0× 927 2.0× 444 1.1× 85 0.3× 159 0.6× 38 1.4k
Ivan Bubić Croatia 15 42 0.1× 987 2.1× 1.0k 2.6× 38 0.1× 112 0.4× 27 1.5k
D Ganem United States 20 375 0.6× 1.3k 2.9× 125 0.3× 201 0.8× 13 0.1× 22 2.0k
Emma J. O’Neill Ireland 14 110 0.2× 144 0.3× 704 1.8× 46 0.2× 53 0.2× 23 1.2k

Countries citing papers authored by David J. Woollard

Since Specialization
Citations

This map shows the geographic impact of David J. Woollard'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. Woollard 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. Woollard more than expected).

Fields of papers citing papers by David J. Woollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

16 of 16 papers shown
1.
Woollard, David J., et al.. (2012). Differential expression of VEGF ligands and receptors in prostate cancer. The Prostate. 73(6). 563–572. 35 indexed citations
2.
Woollard, David J., Catriona McLean, Scott Preiss, et al.. (2011). Down-regulation of intra-hepatic T-cell signaling associated with GB virus C in a HCV/HIV co-infected group with reduced liver disease. Journal of Hepatology. 55(3). 536–544. 15 indexed citations
3.
Roberts, Stuart K., Scott Preiss, David J. Woollard, et al.. (2010). Hepatic TLR2 & TLR4 expression correlates with hepatic inflammation and TNF-α in HCV & HCV/HIV infection. Journal of Viral Hepatitis. 18(12). 852–860. 42 indexed citations
4.
Woollard, David J., Gholamreza Haqshenas, Xuebin Dong, et al.. (2007). Virus-Specific T-Cell Immunity Correlates with Control of GB Virus B Infection in Marmosets. Journal of Virology. 82(6). 3054–3060. 26 indexed citations
5.
Li, Shuo, Kathryn Jones, David J. Woollard, et al.. (2007). Defining target antigens for CD25+FOXP3+IFN‐γ regulatory T cells in chronic hepatitis C virus infection. Immunology and Cell Biology. 85(3). 197–204. 55 indexed citations
6.
Grakoui, Arash, Naglaa H. Shoukry, David J. Woollard, et al.. (2003). HCV Persistence and Immune Evasion in the Absence of Memory T Cell Help. Science. 302(5645). 659–662. 645 indexed citations breakdown →
7.
Woollard, David J., Arash Grakoui, Naglaa H. Shoukry, et al.. (2003). Characterization of Hcv–Specific Patr Class Ii Restricted Cd4+ T Cell Responses in An Acutely Infected Chimpanzee. Hepatology. 38(5). 1297–1306. 31 indexed citations
8.
Scheerlinck, Jean‐Pierre Y., Gerard J. Casey, Peter McWaters, et al.. (2001). The immune response to a DNA vaccine can be modulated by co-delivery of cytokine genes using a DNA prime-protein boost strategy. Vaccine. 19(28-29). 4053–4060. 59 indexed citations
9.
Woollard, David J., D.D. Heath, & Marshall W. Lightowlers. (2000). Assessment of protective immune responses against hydatid disease in sheep by immunization with synthetic peptide antigens. Parasitology. 121(2). 145–153. 28 indexed citations
10.
Woollard, David J., Charles G. Gauci, David Heath, & Marshall W. Lightowlers. (2000). Protection against hydatid disease induced with the EG95 vaccine is associated with conformational epitopes. Vaccine. 19(4-5). 498–507. 55 indexed citations
11.
Woollard, David J., Charles G. Gauci, & Marshall W. Lightowlers. (1999). Synthetic peptides induce antibody against a host-protective antigen of Echinococcus granulosus. Vaccine. 18(9-10). 785–794. 24 indexed citations
12.
Lightowlers, Marshall W., Oscar Jensen, Elisa Fernández‐Millán, et al.. (1999). Vaccination trials in Australia and Argentina confirm the effectiveness of the EG95 hydatid vaccine in sheep. International Journal for Parasitology. 29(4). 531–534. 135 indexed citations
13.
Woollard, David J., Charles G. Gauci, D.D. Heath, & Marshall W. Lightowlers. (1998). Epitope specificities and antibody responses to the EG95 hydatid vaccine. Parasite Immunology. 20(11). 535–540. 45 indexed citations
14.
Burrell, Louise M., et al.. (1997). Inhibition of Neutral Endopeptidase, the Degradative Enzyme for Natriuretic Peptides, in rat Kidney after Oral SCH 42495. Clinical Science. 93(1). 43–50. 17 indexed citations
15.
Woollard, David J., Joel C. Bornstein, & John B. Furness. (1994). Characterization of 5-HT receptors mediating contraction and relaxation of the longitudinal muscle of guinea-pig distal colon in vitro. Naunyn-Schmiedeberg s Archives of Pharmacology. 349(5). 455–462. 31 indexed citations
16.
Johnson, Peter, et al.. (1994). Characterization of 5‐hydroxytryptamine receptors mediating mucosal secretion in guinea‐pig ileum. British Journal of Pharmacology. 111(4). 1240–1244. 21 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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