Aeron C. Hurt

2.3k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Aeron C. Hurt is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Aeron C. Hurt has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 9 papers in Infectious Diseases and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Aeron C. Hurt's work include Influenza Virus Research Studies (26 papers), Respiratory viral infections research (21 papers) and Viral Infections and Immunology Research (4 papers). Aeron C. Hurt is often cited by papers focused on Influenza Virus Research Studies (26 papers), Respiratory viral infections research (21 papers) and Viral Infections and Immunology Research (4 papers). Aeron C. Hurt collaborates with scholars based in Australia, Switzerland and Japan. Aeron C. Hurt's co-authors include Nelson Lee, Takeki Uehara, Takao Shishido, Frederick G. Hayden, Nobuo Hirotsu, Kenji J. Tsuchiya, Menno D. de Jong, Simon Portsmouth, Norio Sugaya and Keiko Kawaguchi and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Aeron C. Hurt

29 papers receiving 1.4k citations

Hit Papers

Baloxavir Marboxil for Uncomplicated Influenza in Adults ... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aeron C. Hurt Australia 15 1.1k 527 257 246 143 29 1.4k
Andrés Pizzorno France 21 1.0k 0.9× 681 1.3× 403 1.6× 305 1.2× 74 0.5× 45 1.7k
Nobuo Hirotsu Japan 17 1.5k 1.4× 444 0.8× 246 1.0× 214 0.9× 170 1.2× 37 1.7k
Chiharu Kawakami Japan 19 1.7k 1.6× 533 1.0× 367 1.4× 272 1.1× 157 1.1× 47 2.0k
Takeshi Noshi Japan 12 851 0.8× 325 0.6× 242 0.9× 180 0.7× 153 1.1× 24 1.1k
Katherine V. Houser United States 16 846 0.8× 481 0.9× 246 1.0× 394 1.6× 35 0.2× 19 1.2k
Teresa Wallis United States 12 1.6k 1.5× 373 0.7× 408 1.6× 297 1.2× 93 0.7× 15 1.7k
Anurodh Shankar Agrawal United States 19 397 0.4× 1.1k 2.1× 308 1.2× 251 1.0× 37 0.3× 23 1.6k
Yanfeng Yao China 15 402 0.4× 1.1k 2.1× 287 1.1× 258 1.0× 82 0.6× 47 1.5k
Martina Friesland Germany 20 657 0.6× 426 0.8× 173 0.7× 76 0.3× 90 0.6× 31 1.5k
Maria Inge Lusida Indonesia 22 616 0.6× 453 0.9× 152 0.6× 69 0.3× 110 0.8× 94 1.4k

Countries citing papers authored by Aeron C. Hurt

Since Specialization
Citations

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

Fields of papers citing papers by Aeron C. Hurt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aeron C. Hurt. 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 Aeron C. Hurt. The network helps show where Aeron C. Hurt may publish in the future.

Co-authorship network of co-authors of Aeron C. Hurt

This figure shows the co-authorship network connecting the top 25 collaborators of Aeron C. Hurt. A scholar is included among the top collaborators of Aeron C. Hurt 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 Aeron C. Hurt. Aeron C. Hurt 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.
Demarest, James F., Ruxandra Draghia‐Akli, Tomáš Cihlář, et al.. (2024). Antiviral target compound profile for pandemic preparedness. Nature Reviews Drug Discovery. 24(2). 151–152. 1 indexed citations
2.
Yılmaz, Gürdal, Jesus Abraham Simón Campos, Keith Pietropaolo, et al.. (2023). Oral Bemnifosbuvir (AT-527) Vs Placebo in Patients With mild-to-moderate COVID-19 in an Outpatient Setting (MORNINGSKY). Future Virology. 18(13). 839–853. 7 indexed citations
3.
Gunalan, Vithiagaran, et al.. (2022). Predicting Permissive Mutations That Improve the Fitness of A(H1N1)pdm09 Viruses Bearing the H275Y Neuraminidase Substitution. Journal of Virology. 96(15). e0091822–e0091822. 6 indexed citations
4.
Mifsud, Edin, Steffen Wildum, Takao Shishido, et al.. (2022). Assessing the fitness of a dual-antiviral drug resistant human influenza virus in the ferret model. Communications Biology. 5(1). 1026–1026. 7 indexed citations
5.
Vijaykrishna, Dhanasekaran, et al.. (2022). Effect of Baloxavir and Oseltamivir in Combination on Infection with Influenza Viruses with PA/I38T or PA/E23K Substitutions in the Ferret Model. mBio. 13(4). e0105622–e0105622. 19 indexed citations
6.
Lee, Leo, Jie Zhou, Rebecca Frise, et al.. (2021). Evaluating the fitness of PA/I38T-substituted influenza A viruses with reduced baloxavir susceptibility in a competitive mixtures ferret model. PLoS Pathogens. 17(5). e1009527–e1009527. 29 indexed citations
7.
Chotpitayasunondh, Tawee, Thea Kølsen Fischer, Jean‐Michel Héraud, et al.. (2020). Influenza and COVID‐19: What does co‐existence mean?. Influenza and Other Respiratory Viruses. 15(3). 407–412. 85 indexed citations
8.
Lee, Leo, Jie Zhou, Rebecca Frise, et al.. (2020). Baloxavir treatment of ferrets infected with influenza A(H1N1)pdm09 virus reduces onward transmission. PLoS Pathogens. 16(4). e1008395–e1008395. 31 indexed citations
9.
Oh, Ding Yuan, Danielle E. Anderson, Vithiagaran Gunalan, et al.. (2020). Utilising animal models to evaluate oseltamivir efficacy against influenza A and B viruses with reduced in vitro susceptibility. PLoS Pathogens. 16(6). e1008592–e1008592. 6 indexed citations
11.
Takashita, Emi, Rod S. Daniels, Seiichiro Fujisaki, et al.. (2020). Global update on the susceptibilities of human influenza viruses to neuraminidase inhibitors and the cap-dependent endonuclease inhibitor baloxavir, 2017–2018. Antiviral Research. 175. 104718–104718. 86 indexed citations
12.
Zaraket, Hassan, Aeron C. Hurt, Barry Clinch, Ian Barr, & Nelson Lee. (2020). Burden of influenza B virus infection and considerations for clinical management. Antiviral Research. 185. 104970–104970. 52 indexed citations
14.
Wong, Julius, et al.. (2020). Sequencing B cell receptors from ferrets (Mustela putorius furo). PLoS ONE. 15(5). e0233794–e0233794. 8 indexed citations
15.
Lee, Leo, et al.. (2020). Genetic variations on 31 and 450 residues of influenza A nucleoprotein affect viral replication and translation. Journal of Biomedical Science. 27(1). 17–17. 4 indexed citations
16.
Lee, Juhye, Rachel Eguia, Seth J. Zost, et al.. (2019). Mapping person-to-person variation in viral mutations that escape polyclonal serum targeting influenza hemagglutinin. eLife. 8. 61 indexed citations
18.
Tilmanis, Danielle, et al.. (2019). Baloxavir marboxil susceptibility of influenza viruses from the Asia-Pacific, 2012–2018. Antiviral Research. 164. 91–96. 45 indexed citations
19.
Lee, Leo, Leonard Izzard, & Aeron C. Hurt. (2018). A Review of DNA Vaccines Against Influenza. Frontiers in Immunology. 9. 1568–1568. 77 indexed citations
20.
Oh, Ding Yuan, et al.. (2017). Selection of Multi-Drug Resistant Influenza A and B Viruses under Zanamivir Pressure and their Replication Fitness in Ferrets. Antiviral Therapy. 23(4). 295–306. 14 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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