David J. Hooker

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

About

David J. Hooker is a scholar working on Virology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, David J. Hooker has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 7 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in David J. Hooker's work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (6 papers) and HIV/AIDS Research and Interventions (3 papers). David J. Hooker is often cited by papers focused on HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (6 papers) and HIV/AIDS Research and Interventions (3 papers). David J. Hooker collaborates with scholars based in Australia, United States and South Africa. David J. Hooker's co-authors include Nicholas J. Deacon, Anne Ellett, John Mills, Alison L. Greenway, Secondo Sonza, A. Solomon, Karen Smith, Suzanne M. Crowe, John S. Sullivan and Dominic E. Dwyer and has published in prestigious journals such as Science, Nucleic Acids Research and Neurology.

In The Last Decade

David J. Hooker

14 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Genomic Structure of an Attenuated Quasi Species of HIV-1 from a Blood Transfusion Donor and Recipients

1995 982 citations Nicholas J. Deacon, Anna Tsykin et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David J. Hooker Australia	10	1.1k	668	435	314	247	14	1.3k
Catherine Chatfield Australia	8	1.2k 1.1×	640 1.0×	537 1.2×	323 1.0×	238 1.0×	8	1.3k
Kristine E. Sheridan United States	7	1.3k 1.2×	638 1.0×	846 1.9×	225 0.7×	253 1.0×	8	1.5k
A. Solomon Australia	3	939 0.9×	504 0.8×	406 0.9×	252 0.8×	171 0.7×	5	1.0k
Carlos de Noronha United States	3	887 0.8×	466 0.7×	444 1.0×	320 1.0×	284 1.1×	5	1.1k
Alison L. Greenway Australia	14	1.4k 1.3×	709 1.1×	747 1.7×	406 1.3×	401 1.6×	23	1.8k
Jennifer C. Learmont Australia	13	1.6k 1.5×	905 1.4×	714 1.6×	459 1.5×	264 1.1×	20	1.8k
Valérie Maréchal France	14	936 0.9×	564 0.8×	421 1.0×	323 1.0×	375 1.5×	18	1.4k
M Groenink Netherlands	13	1.2k 1.1×	833 1.2×	466 1.1×	200 0.6×	251 1.0×	17	1.4k
Kathie Grovit‐Ferbas United States	14	894 0.8×	464 0.7×	549 1.3×	306 1.0×	228 0.9×	15	1.2k
George M. Shaw United States	5	1.1k 1.0×	673 1.0×	602 1.4×	287 0.9×	334 1.4×	6	1.5k

Countries citing papers authored by David J. Hooker

Since Specialization

Citations

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

Fields of papers citing papers by David J. Hooker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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14 of 14 papers shown

Hooker, David J., Yi Dong, Nathan Baran, et al.. (2019). Detecting wMel Wolbachia in field-collected Aedes aegypti mosquitoes using loop-mediated isothermal amplification (LAMP). Parasites & Vectors. 12(1). 404–404. 18 indexed citations

Sansom, Fiona M., Julie E. Ralton, M. Fleur Sernee, et al.. (2014). Golgi-Located NTPDase1 of Leishmania major Is Required for Lipophosphoglycan Elongation and Normal Lesion Development whereas Secreted NTPDase2 Is Dispensable for Virulence. PLoS neglected tropical diseases. 8(12). e3402–e3402. 14 indexed citations

Hooker, David J., Jenny L. Anderson, Reena Rajasuriar, et al.. (2012). A new way of measuring apoptosis by absolute quantitation of inter-nucleosomally fragmented genomic DNA. Nucleic Acids Research. 40(15). e113–e113. 34 indexed citations

Cherry, Catherine L., Steve Wesselingh, Randi Fain, et al.. (2010). Ubisol-AquaTM: Coenzyme Q10 Prevents Antiretroviral Toxic Neuropathy in an In Vitro Model. Current HIV Research. 8(3). 232–239. 4 indexed citations

Cherry, Catherine L., Jacquita S. Affandi, Bruce J. Brew, et al.. (2010). Hepatitis C seropositivity is not a risk factor for sensory neuropathy among patients with HIV. Neurology. 74(19). 1538–1542. 17 indexed citations

Hooker, David J. & Catherine L. Cherry. (2009). Apoptosis: a clinically useful measure of antiretroviral drug toxicity?. Expert Opinion on Drug Metabolism & Toxicology. 5(12). 1543–1553. 4 indexed citations

Hooker, David J., Paul R. Gorry, Anne Ellett, Steve Wesselingh, & Catherine L. Cherry. (2008). Measuring and monitoring apoptosis and drug toxicity in HIV patients by ligation‐mediated polymerase chain reaction. Journal of Cellular and Molecular Medicine. 13(5). 948–958. 8 indexed citations

Land, Sally, et al.. (1996). Syncytium-inducing phenotype and zidovudine susceptibility of HIV-1 isolated from post-mortem tissue. AIDS. 10(1). 47–54. 14 indexed citations

Hooker, David J., Gilda Tachedjian, Ajantha Solomon, et al.. (1996). An in vivo mutation from leucine to tryptophan at position 210 in human immunodeficiency virus type 1 reverse transcriptase contributes to high-level resistance to 3'-azido-3'-deoxythymidine. Journal of Virology. 70(11). 8010–8018. 92 indexed citations

10.

Tachedjian, Gilda, David J. Hooker, Asitha Gurusinghe, et al.. (1995). Characterisation of Foscarnet-Resistant Strains of Human Immunodeficiency Virus Type 1. Virology. 212(1). 58–68. 38 indexed citations

11.

Gurusinghe, Asitha, Sally Land, Chris Birch, et al.. (1995). Reverse transcriptase mutations in sequential HIV‐1 isolates in a patient with AIDS. Journal of Medical Virology. 46(3). 238–243. 17 indexed citations

12.

Deacon, Nicholas J., Anna Tsykin, A. Solomon, et al.. (1995). Genomic Structure of an Attenuated Quasi Species of HIV-1 from a Blood Transfusion Donor and Recipients. Science. 270(5238). 988–991. 982 indexed citations breakdown →

13.

Russell, Sarah M., et al.. (1991). Alternatively spliced RNAs encode several isoforms of CD46 (MCP), a regulator of complement activation. Immunogenetics. 33(5-6). 335–344. 62 indexed citations

14.

Trapani, Joseph A., et al.. (1985). Molecular cloning and partial nucleotide sequence of a 3.5 kb HLA-B27-associated fragment of genomic DNA. Immunogenetics. 22(4). 399–405. 2 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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