Joseph Ashour

2.6k total citations
21 papers, 2.0k citations indexed

About

Joseph Ashour is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Joseph Ashour has authored 21 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Infectious Diseases and 8 papers in Immunology. Recurrent topics in Joseph Ashour's work include Mosquito-borne diseases and control (7 papers), interferon and immune responses (6 papers) and Influenza Virus Research Studies (6 papers). Joseph Ashour is often cited by papers focused on Mosquito-borne diseases and control (7 papers), interferon and immune responses (6 papers) and Influenza Virus Research Studies (6 papers). Joseph Ashour collaborates with scholars based in United States, United Kingdom and Germany. Joseph Ashour's co-authors include Adolfo Garcı́a-Sastre, Maudry Laurent-Rolle, Pei‐Yong Shi, Luis Martínez‐Sobrido, Jorge L. Muñoz‐Jordán, W. Ian Lipkin, Ana Fernández-Sesma, Alan Belicha‐Villanueva, Dabeiba Bernal‐Rubio and Sumana Sanyal and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Joseph Ashour

19 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Ashour United States 15 1.2k 1.1k 618 426 369 21 2.0k
Laurent Meertens France 28 1.1k 0.9× 1.1k 1.0× 961 1.6× 441 1.0× 663 1.8× 41 2.8k
Maudry Laurent-Rolle United States 14 1.7k 1.5× 1.7k 1.6× 737 1.2× 343 0.8× 276 0.7× 26 2.4k
Sheri L. Hanna United States 18 775 0.7× 822 0.8× 396 0.6× 338 0.8× 266 0.7× 21 1.7k
Aleksei Lulla Estonia 21 1.3k 1.1× 1.1k 1.1× 365 0.6× 339 0.8× 192 0.5× 35 1.9k
Dabeiba Bernal‐Rubio United States 15 909 0.8× 1.0k 0.9× 749 1.2× 395 0.9× 327 0.9× 19 1.7k
Christina L. Gardner United States 23 1.1k 0.9× 1.1k 1.0× 342 0.6× 387 0.9× 249 0.7× 42 1.8k
Eva Lee Australia 29 1.8k 1.6× 1.5k 1.4× 375 0.6× 450 1.1× 359 1.0× 50 2.7k
Svetlana Atasheva United States 26 909 0.8× 930 0.9× 423 0.7× 550 1.3× 206 0.6× 31 1.8k
Michela Mazzon United Kingdom 15 500 0.4× 574 0.5× 467 0.8× 348 0.8× 367 1.0× 20 1.4k
Kevin Maringer United Kingdom 15 801 0.7× 751 0.7× 449 0.7× 342 0.8× 282 0.8× 24 1.4k

Countries citing papers authored by Joseph Ashour

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Ashour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Ashour

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Ashour. A scholar is included among the top collaborators of Joseph Ashour 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 Joseph Ashour. Joseph Ashour 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
2.
Xin, Dongyue, Kevin Briggs, Saurabh Gautam, et al.. (2025). Characterization of VSV-GP morphology by cryo-EM imaging and SEC-MALS. Molecular Therapy — Methods & Clinical Development. 33(1). 101429–101429. 2 indexed citations
3.
Jiang, Di, et al.. (2024). Absolute quantification of viral proteins from pseudotyped VSV-GP using UPLC-MRM. Microbiology Spectrum. 12(8). e0365123–e0365123.
4.
Griesenbach, Uta, Gerry McLachlan, Cédric Cheminay, et al.. (2023). WS17.06 F/HN pseudotyped lentiviral vector-mediated transduction of non-human primates. Journal of Cystic Fibrosis. 22. S33–S33. 1 indexed citations
5.
Li, Ming Yuan, Oreste Acuto, Eric Spooner, et al.. (2020). Lyn kinase regulates egress of flaviviruses in autophagosome-derived organelles. Nature Communications. 11(1). 5189–5189. 42 indexed citations
6.
Zhang, Jing Shu, Yun Lan, Ming Yuan Li, et al.. (2018). Flaviviruses Exploit the Lipid Droplet Protein AUP1 to Trigger Lipophagy and Drive Virus Production. Cell Host & Microbe. 23(6). 819–831.e5. 145 indexed citations
8.
Koppstein, David, Joseph Ashour, & David P. Bartel. (2015). Sequencing the cap-snatching repertoire of H1N1 influenza provides insight into the mechanism of viral transcription initiation. Nucleic Acids Research. 43(10). 5052–5064. 66 indexed citations
9.
Ashour, Joseph, Florian I. Schmidt, Leo Hanke, et al.. (2014). Intracellular Expression of Camelid Single-Domain Antibodies Specific for Influenza Virus Nucleoprotein Uncovers Distinct Features of Its Nuclear Localization. Journal of Virology. 89(5). 2792–2800. 56 indexed citations
10.
Dougan, Stephanie K., Joseph Ashour, Roos A. Karssemeijer, et al.. (2013). Antigen-specific B-cell receptor sensitizes B cells to infection by influenza virus. Nature. 503(7476). 406–409. 55 indexed citations
11.
Sanyal, Sumana, Joseph Ashour, Takeshi Maruyama, et al.. (2013). Type I Interferon Imposes a TSG101/ISG15 Checkpoint at the Golgi for Glycoprotein Trafficking during Influenza Virus Infection. Cell Host & Microbe. 14(5). 510–521. 39 indexed citations
12.
Hendricks, Gabriel L., Kimberly L. Weirich, Karthik Viswanathan, et al.. (2013). Sialylneolacto-N-tetraose c (LSTc)-bearing Liposomal Decoys Capture Influenza A Virus. Journal of Biological Chemistry. 288(12). 8061–8073. 63 indexed citations
13.
Tafesse, Fikadu, Sumana Sanyal, Joseph Ashour, et al.. (2013). Intact sphingomyelin biosynthetic pathway is essential for intracellular transport of influenza virus glycoproteins. Proceedings of the National Academy of Sciences. 110(16). 6406–6411. 51 indexed citations
14.
Rodríguez-Madoz, Juan R., Alan Belicha‐Villanueva, Dabeiba Bernal‐Rubio, et al.. (2010). Inhibition of the Type I Interferon Response in Human Dendritic Cells by Dengue Virus Infection Requires a Catalytically Active NS2B3 Complex. Journal of Virology. 84(19). 9760–9774. 117 indexed citations
15.
Ashour, Joseph, Juliet Morrison, Maudry Laurent-Rolle, et al.. (2010). Mouse STAT2 Restricts Early Dengue Virus Replication. Cell Host & Microbe. 8(5). 410–421. 160 indexed citations
16.
Laurent-Rolle, Maudry, Elena F. Boer, Kirk J. Lubick, et al.. (2010). The NS5 Protein of the Virulent West Nile Virus NY99 Strain Is a Potent Antagonist of Type I Interferon-Mediated JAK-STAT Signaling. Journal of Virology. 84(7). 3503–3515. 186 indexed citations
17.
Muñoz‐Fontela, César, Salvador Macip, Luis Martínez‐Sobrido, et al.. (2008). Transcriptional role of p53 in interferon-mediated antiviral immunity. The Journal of Experimental Medicine. 205(8). 1929–1938. 193 indexed citations
18.
Muñoz‐Fontela, César, Salvador Macip, Luis Martínez‐Sobrido, et al.. (2008). 292 p53 Transcriptionally activates IRF9 to enhance antiviral immunity. Cytokine. 43(3). 312–313. 1 indexed citations
19.
Muñoz‐Jordán, Jorge L., Maudry Laurent-Rolle, Joseph Ashour, et al.. (2005). Inhibition of Alpha/Beta Interferon Signaling by the NS4B Protein of Flaviviruses. Journal of Virology. 79(13). 8004–8013. 427 indexed citations
20.
Ashour, Joseph & Mary K. Hondalus. (2003). Phenotypic Mutants of the Intracellular Actinomycete Rhodococcus equi Created by In Vivo Himar1 Transposon Mutagenesis. Journal of Bacteriology. 185(8). 2644–2652. 48 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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