A. Castley

1.5k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

A. Castley is a scholar working on Virology, Infectious Diseases and Emergency Medicine. According to data from OpenAlex, A. Castley has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Virology, 3 papers in Infectious Diseases and 3 papers in Emergency Medicine. Recurrent topics in A. Castley's work include HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers) and HIV-related health complications and treatments (3 papers). A. Castley is often cited by papers focused on HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers) and HIV-related health complications and treatments (3 papers). A. Castley collaborates with scholars based in Australia and China. A. Castley's co-authors include David Nolan, Ian James, S. Mallal, D. Sayer, Cyril Mamotte, Campbell S. Witt, Donald M. Maxwell, Christiansen Ft, Corey Moore and Cassandra Berry and has published in prestigious journals such as The Lancet, AIDS and Journal of Neuroimmunology.

In The Last Decade

A. Castley

8 papers receiving 1.1k citations

Hit Papers

Association between presence of HLA-B*5701, HLA-DR7 , and... 2002 2026 2010 2018 2002 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Association between presence of HLA-B*5701, HLA-DR7 , and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir
    2002 1.0k citations S. Mallal, David Nolan et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Castley Australia 5 531 263 238 217 210 8 1.1k
E. Jägel-Guedes Germany 3 548 1.0× 251 1.0× 199 0.8× 156 0.7× 178 0.8× 6 1.2k
О. А. Козырев Russia 2 545 1.0× 249 0.9× 197 0.8× 155 0.7× 176 0.8× 7 1.2k
Alastair Benbow United Kingdom 4 547 1.0× 249 0.9× 205 0.9× 156 0.7× 184 0.9× 6 1.2k
D. Thorborn United Kingdom 7 617 1.2× 271 1.0× 241 1.0× 169 0.8× 191 0.9× 15 1.4k
Christiansen Ft Australia 4 529 1.0× 226 0.9× 242 1.0× 165 0.8× 229 1.1× 6 1.1k
Michael Stocum United States 5 324 0.6× 118 0.4× 126 0.5× 80 0.4× 116 0.6× 7 769
F. Javier Vilar United Kingdom 12 271 0.5× 156 0.6× 101 0.4× 100 0.5× 75 0.4× 20 623
Britt Stancil United States 9 242 0.5× 455 1.7× 86 0.4× 329 1.5× 67 0.3× 12 850
Cindy Brothers United States 7 235 0.4× 414 1.6× 73 0.3× 295 1.4× 76 0.4× 8 723
Rebecca Pavlos Australia 15 607 1.1× 79 0.3× 168 0.7× 31 0.1× 229 1.1× 24 882

Countries citing papers authored by A. Castley

Since Specialization
Citations

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

Fields of papers citing papers by A. Castley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Castley

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

All Works

8 of 8 papers shown
1.
2.
Pinto, Angie N., Karen Hawke, A. Castley, et al.. (2018). HIV-1 Subtype Diversity, Transmitted Drug Resistance and Phylogenetics in Australia. Future Virology. 13(8). 575–584. 3 indexed citations
3.
McKinnon, E., et al.. (2015). Determinants of residual viraemia during combination HIV treatment: Impacts of baseline HIV RNA levels and treatment choice. HIV Medicine. 17(7). 495–504. 9 indexed citations
4.
Cha, Lilian, Cassandra Berry, David Nolan, et al.. (2014). Interferon‐alpha, immune activation and immune dysfunction in treated HIV infection. Clinical & Translational Immunology. 3(2). e10–e10. 48 indexed citations
5.
Qiu, Wei, Kym Pham, Ian James, et al.. (2013). The influence of non-HLA gene polymorphisms and interactions on disease risk in a Western Australian multiple sclerosis cohort. Journal of Neuroimmunology. 261(1-2). 92–97. 16 indexed citations
6.
Tay, Chin Yen, A. Castley, Jian Wu, et al.. (2012). Western Australian Multiple Sclerosis Patients Exhibit a Lower Prevalence of Helicobacter pylori Infection. Multiple Sclerosis Journal. 18(5). 4 indexed citations
7.
8.
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 →

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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