Corey Moore

5.4k total citations · 2 hit papers
19 papers, 2.9k citations indexed

About

Corey Moore is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Corey Moore has authored 19 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Virology, 7 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Corey Moore's work include HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (6 papers) and Immune Cell Function and Interaction (6 papers). Corey Moore is often cited by papers focused on HIV Research and Treatment (11 papers), HIV/AIDS drug development and treatment (6 papers) and Immune Cell Function and Interaction (6 papers). Corey Moore collaborates with scholars based in Australia, United Kingdom and United States. Corey Moore's co-authors include S. Mallal, Ian James, Mina John, Campbell S. Witt, David Nolan, Frank Christiansen, E. McKinnon, A. Castley, Donald M. Maxwell and D. Sayer and has published in prestigious journals such as Science, The Lancet and The Journal of Immunology.

In The Last Decade

Corey Moore

18 papers receiving 2.8k citations

Hit Papers

Association between prese... 2002 2026 2010 2018 2002 2002 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Corey Moore 1.4k 1.2k 772 681 658 19 2.9k
Cassy Workman 1.3k 0.9× 1.2k 1.0× 514 0.7× 563 0.8× 556 0.8× 30 2.7k
A. Martin 500 0.4× 577 0.5× 783 1.0× 355 0.5× 722 1.1× 27 2.1k
Joaquin Valdes 887 0.6× 1.1k 0.9× 968 1.3× 280 0.4× 54 0.1× 31 2.6k
Rui M. M. Victorino 1.1k 0.7× 422 0.3× 1.2k 1.6× 179 0.3× 129 0.2× 102 2.6k
Janez Tomažič 334 0.2× 542 0.4× 229 0.3× 151 0.2× 560 0.9× 51 1.7k
John Spritzler 1.8k 1.3× 1.4k 1.2× 925 1.2× 483 0.7× 50 0.1× 55 3.2k
Sorin Rugină 259 0.2× 441 0.4× 210 0.3× 99 0.1× 555 0.8× 65 1.6k
Charles Mayaud 429 0.3× 564 0.5× 538 0.7× 155 0.2× 102 0.2× 59 2.7k
Gilbert R. Kaufmann 2.2k 1.6× 2.3k 1.9× 494 0.6× 1.4k 2.1× 44 0.1× 46 3.4k
Ombretta Turriziani 801 0.6× 1.4k 1.2× 494 0.6× 174 0.3× 30 0.0× 135 2.9k

Countries citing papers authored by Corey Moore

Since Specialization
Citations

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

Fields of papers citing papers by Corey Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corey Moore

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

All Works

19 of 19 papers shown
1.
Moore, Corey, et al.. (2022). Realistic and inexpensive ultrasound phantoms to demonstrate aortic aneurysm and aortic dissection. Australasian Journal of Ultrasound in Medicine. 25(4). 195–199.
2.
Pace, Craig S., Jean Keller, David Nolan, et al.. (2007). Population Level Analysis of Human Immunodeficiency Virus Type 1 Hypermutation and Its Relationship with APOBEC3G and vif Genetic Variation. Journal of Virology. 81(16). 8843–8845. 6 indexed citations
4.
Pace, Craig S., Jean Keller, David Nolan, et al.. (2006). Population Level Analysis of Human Immunodeficiency Virus Type 1 Hypermutation and Its Relationship with APOBEC3G and vif Genetic Variation. Journal of Virology. 80(18). 9259–9269. 106 indexed citations
5.
Feeney, Margaret E., Yanhua Tang, Katja Pfafferott, et al.. (2005). HIV-1 Viral Escape in Infancy Followed by Emergence of a Variant-Specific CTL Response. The Journal of Immunology. 174(12). 7524–7530. 80 indexed citations
6.
Gaudieri, Silvana, David DeSantis, E. McKinnon, et al.. (2005). Killer immunoglobulin-like receptors and HLA act both independently and synergistically to modify HIV disease progression. Genes and Immunity. 6(8). 683–690. 99 indexed citations
7.
John, Mina, Corey Moore, Ian James, & S. Mallal. (2005). Interactive Selective Pressures of Hla-Restricted Immune Responses and Antiretroviral Drugs on HIV-1. Antiviral Therapy. 10(4). 551–555. 31 indexed citations
8.
Martin, A., David Nolan, Ian James, et al.. (2004). Predisposition to nevirapine hypersensitivity associated with HLA-DRB1*0101 and abrogated by low CD4 T-cell counts. AIDS. 19(1). 97–99. 236 indexed citations
9.
Christiansen, Frank, Silvana Gaudieri, Dianne De Santis, et al.. (2004). NK receptor haplotypes and HLA as predictors of HIV-1 progression. Murdoch Research Repository (Murdoch University). 1 indexed citations
10.
John, Mina, E. McKinnon, Ian James, et al.. (2003). Randomized, Controlled, 48-Week Study of Switching Stavudine and/or Protease Inhibitors to Combivir/Abacavir to Prevent or Reverse Lipoatrophy in HIV-Infected Patients. JAIDS Journal of Acquired Immune Deficiency Syndromes. 33(1). 29–33. 89 indexed citations
11.
Christiansen, Frank, Silvana Gaudieri, Dianne De Santis, et al.. (2003). NK receptor genes are predictors of HIV progression. Human Immunology. 64(10). S12–S12. 4 indexed citations
12.
Mallal, S., David Nolan, Campbell S. Witt, et al.. (2002). Association between presence of HLA-B*5701, HLA-DR7 , and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir. The Lancet. 359(9308). 727–732. 1001 indexed citations breakdown →
13.
Moore, Corey, Mina John, Ian James, et al.. (2002). Evidence of HIV-1 Adaptation to HLA-Restricted Immune Responses at a Population Level. Science. 296(5572). 1439–1443. 590 indexed citations breakdown →
14.
John, Mina, Corey Moore, Ian James, et al.. (2001). Chronic hyperlactatemia in HIV-infected patients taking antiretroviral therapy. AIDS. 15(6). 717–723. 194 indexed citations
15.
Mallal, S., Mina John, Corey Moore, Ian James, & E. McKinnon. (2000). Contribution of nucleoside analogue reverse transcriptase inhibitors to subcutaneous fat wasting in patients with HIV infection. AIDS. 14(10). 1309–1316. 415 indexed citations
16.
Moore, Corey, et al.. (2000). Raised lactate levels are common and may be predictive of subcutaneous fat wasting. Murdoch Research Repository (Murdoch University). 3 indexed citations
17.
Price, Patricia, Campbell S. Witt, Richard J. N. Allcock, et al.. (1999). Periodontal attachment loss in HIV‐infected patients is associated with the major histocompatibility complex 8.1 haplotype (HLA‐A1,B8,DR3). Tissue Antigens. 54(4). 391–399. 20 indexed citations
18.
Hála, K, et al.. (1998). Genes of chicken MHC regulate the adherence activity of blood monocytes in Rous sarcomas progressing and regressing lines. Veterinary Immunology and Immunopathology. 66(2). 143–157. 11 indexed citations
19.
Daugharty, Harry, et al.. (1979). Autoimmune implications of immune complexes in clinical variants of hepatitis B.. PubMed. 37(2). 213–20. 6 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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