E. Bart Tarbet

3.4k total citations · 1 hit paper
53 papers, 2.3k citations indexed

About

E. Bart Tarbet is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, E. Bart Tarbet has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 17 papers in Molecular Biology and 14 papers in Infectious Diseases. Recurrent topics in E. Bart Tarbet's work include Influenza Virus Research Studies (22 papers), Respiratory viral infections research (16 papers) and Viral gastroenteritis research and epidemiology (8 papers). E. Bart Tarbet is often cited by papers focused on Influenza Virus Research Studies (22 papers), Respiratory viral infections research (16 papers) and Viral gastroenteritis research and epidemiology (8 papers). E. Bart Tarbet collaborates with scholars based in United States, Australia and Belgium. E. Bart Tarbet's co-authors include Brett L. Hurst, Chunlong Ma, Jun Wang, Yanmei Hu, Donald F. Smee, Julia A. Townsend, Yu Chen, Michael T. Marty, Xiujun Zhang and M. Sacco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

E. Bart Tarbet

53 papers receiving 2.3k citations

Hit Papers

Boceprevir, GC-376, and calpain inhibitors II, XII inhibi... 2020 2026 2022 2024 2020 200 400 600
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. Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main protease
    2020 616 citations Chunlong Ma, M. Sacco et al. Cell Research profile →

Peers

E. Bart Tarbet
Brett L. Hurst United States
Yunjeong Kim United States
Egor P. Tchesnokov Canada
Seungtaek Kim South Korea
Michaela Schmidtke Germany
Jin‐Ching Lee Taiwan
Meehyein Kim South Korea
Francesca Esposito Italy
Thomas Pietschmann Germany
Sjoerd H. E. van den Worm Netherlands
Brett L. Hurst United States
E. Bart Tarbet
Citations per year, relative to E. Bart Tarbet E. Bart Tarbet (= 1×) peers Brett L. Hurst

Countries citing papers authored by E. Bart Tarbet

Since Specialization
Citations

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

Fields of papers citing papers by E. Bart Tarbet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Bart Tarbet. 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 E. Bart Tarbet. The network helps show where E. Bart Tarbet may publish in the future.

Co-authorship network of co-authors of E. Bart Tarbet

This figure shows the co-authorship network connecting the top 25 collaborators of E. Bart Tarbet. A scholar is included among the top collaborators of E. Bart Tarbet 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 E. Bart Tarbet. E. Bart Tarbet 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.
Gibson, Scott, Yanan Liu, Rong Li, et al.. (2024). Differences in Susceptibility to SARS-CoV-2 Infection Among Transgenic hACE2-Hamster Founder Lines. Viruses. 16(10). 1625–1625. 2 indexed citations
2.
Medaglia, Chiara, Yong Zhu, E. Bart Tarbet, et al.. (2024). Development of Broad‐Spectrum β‐Cyclodextrins‐Based Nanomaterials Against Influenza Viruses. Journal of Medical Virology. 96(12). e70101–e70101. 3 indexed citations
3.
Lane, Thomas R., Jianing Fu, Barbara Sherry, et al.. (2023). Efficacy of an isoxazole-3-carboxamide analog of pleconaril in mouse models of Enterovirus-D68 and Coxsackie B5. Antiviral Research. 216. 105654–105654. 5 indexed citations
4.
Honda‐Okubo, Yoshikazu, et al.. (2023). An Advax-CpG55.2 adjuvanted recombinant hemagglutinin vaccine provides immunity against H7N9 influenza in adult and neonatal mice. Vaccine. 41(38). 5592–5602. 3 indexed citations
5.
Honda‐Okubo, Yoshikazu, E. Bart Tarbet, Brett L. Hurst, & Nikolai Petrovsky. (2023). An Advax-CpG adjuvanted recombinant H5 hemagglutinin vaccine protects mice against lethal influenza infection. Vaccine. 41(39). 5730–5741. 8 indexed citations
6.
Vermillion, Meghan S., Yun Zhang, Danielle R. Adney, et al.. (2022). Animal Models of Enterovirus D68 Infection and Disease. Journal of Virology. 96(15). e0083322–e0083322. 16 indexed citations
7.
Stinson, Jordan A., Archana V. Boopathy, Yichen Zhang, et al.. (2021). Enhancing influenza vaccine immunogenicity and efficacy through infection mimicry using silk microneedles. Vaccine. 39(38). 5410–5421. 28 indexed citations
8.
Stasko, Nathan, Jacob Kocher, Michael Bergmann, et al.. (2021). Visible blue light inhibits infection and replication of SARS-CoV-2 at doses that are well-tolerated by human respiratory tissue. Scientific Reports. 11(1). 20595–20595. 16 indexed citations
9.
Ma, Chunlong, M. Sacco, Brett L. Hurst, et al.. (2020). Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main protease. Cell Research. 30(8). 678–692. 616 indexed citations breakdown →
10.
Andersen, Hanné, et al.. (2020). Efficacy of anti-influenza immunoglobulin (FLU-IGIV) in ferrets and mice infected with 2009 pandemic influenza virus. Antiviral Research. 180. 104753–104753. 2 indexed citations
11.
Bray, Mike, Graciela Andreï, Ester Ballana, et al.. (2018). Meeting report: 31st International Conference on Antiviral Research. Antiviral Research. 158. 88–102. 8 indexed citations
12.
Hurst, Brett L., Christopher Peterson, Arnaud J. Van Wettere, et al.. (2018). Development of a respiratory disease model for enterovirus D68 in 4-week-old mice for evaluation of antiviral therapies. Antiviral Research. 162. 61–70. 26 indexed citations
13.
Hurst, Brett L., et al.. (2018). Evaluation of antiviral therapies in respiratory and neurological disease models of Enterovirus D68 infection in mice. Virology. 526. 146–154. 34 indexed citations
14.
Andreï, Graciela, Kara Carter, Zlatko Janeba, et al.. (2017). Highlights of the 30th International Conference on Antiviral Research. Antiviral Research. 145. 184–196. 10 indexed citations
15.
Hurst, Brett L., Akhilesh Kumar Shakya, Md Jasim Uddin, et al.. (2017). Consensus M2e peptide conjugated to gold nanoparticles confers protection against H1N1, H3N2 and H5N1 influenza A viruses. Antiviral Research. 141. 62–72. 96 indexed citations
16.
Tarbet, E. Bart, Stephanie Hamilton, Angela Luttick, et al.. (2014). A zanamivir dimer with prophylactic and enhanced therapeutic activity against influenza viruses. Journal of Antimicrobial Chemotherapy. 69(8). 2164–2174. 15 indexed citations
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Zhang, Jianfeng, E. Bart Tarbet, Haroldo Toro, & De‐chu C. Tang. (2011). Adenovirus-vectored drug–vaccine duo as a potential driver for conferring mass protection against infectious diseases. Expert Review of Vaccines. 10(11). 1539–1552. 15 indexed citations
20.
Zhang, Jianfeng, et al.. (2011). Adenovirus-Vectored Drug-Vaccine Duo as a Rapid-Response Tool for Conferring Seamless Protection against Influenza. PLoS ONE. 6(7). e22605–e22605. 18 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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