Benjamin R. tenOever

21.5k total citations · 5 hit papers
103 papers, 11.5k citations indexed

About

Benjamin R. tenOever is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Benjamin R. tenOever has authored 103 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Immunology, 42 papers in Molecular Biology and 37 papers in Infectious Diseases. Recurrent topics in Benjamin R. tenOever's work include interferon and immune responses (44 papers), Influenza Virus Research Studies (17 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Benjamin R. tenOever is often cited by papers focused on interferon and immune responses (44 papers), Influenza Virus Research Studies (17 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). Benjamin R. tenOever collaborates with scholars based in United States, Canada and France. Benjamin R. tenOever's co-authors include John Hiscott, Nathalie Grandvaux, Rongtuan Lin, David Sachs, Sonia Sharma, Tristan X. Jordan, Guoping Zhou, Maryline Panis, Skyler Uhl and Daisy A. Hoagland and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Benjamin R. tenOever

102 papers receiving 11.4k citations

Hit Papers

Imbalanced Host Respo... 2003 2026 2010 2018 2020 2003 2003 2022 2023 500 1000 1.5k 2.0k 2.5k

Peers

Benjamin R. tenOever
Bo‐Jian Zheng Hong Kong
Randy A. Albrecht United States
Michaela U. Gack United States
Mengji Lu Germany
Benjamin R. tenOever
Citations per year, relative to Benjamin R. tenOever Benjamin R. tenOever (= 1×) peers Friedemann Weber

Countries citing papers authored by Benjamin R. tenOever

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin R. tenOever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin R. tenOever. 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 Benjamin R. tenOever. The network helps show where Benjamin R. tenOever may publish in the future.

Co-authorship network of co-authors of Benjamin R. tenOever

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin R. tenOever. A scholar is included among the top collaborators of Benjamin R. tenOever 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 Benjamin R. tenOever. Benjamin R. tenOever 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.
Stevens, Christian S., Terry L. Juelich, Colm Atkins, et al.. (2023). Nipah Virus Bangladesh Infection Elicits Organ-Specific Innate and Inflammatory Responses in the Marmoset Model. The Journal of Infectious Diseases. 228(5). 604–614. 5 indexed citations
2.
Tang, Xuming, Dongxiang Xue, Tuo Zhang, et al.. (2023). A multi-organoid platform identifies CIART as a key factor for SARS-CoV-2 infection. Nature Cell Biology. 25(3). 381–389. 18 indexed citations
3.
Carrau, Lucía, Justin J. Frere, Ilona Golynker, et al.. (2023). Delayed engagement of host defenses enables SARS-CoV-2 viremia and productive infection of distal organs in the hamster model of COVID-19. Science Signaling. 16(789). 7 indexed citations
4.
Nilsson-Payant, Benjamin E., Boris Bonaventure, Chengjin Ye, et al.. (2023). SARS-CoV-2 hijacks p38β/MAPK11 to promote virus replication. mBio. 14(4). e0100723–e0100723. 8 indexed citations
5.
Serafini, Randal A., Justin J. Frere, Jeffrey Zimering, et al.. (2023). SARS-CoV-2 airway infection results in the development of somatosensory abnormalities in a hamster model. Science Signaling. 16(784). eade4984–eade4984. 19 indexed citations
6.
tenOever, Benjamin R., et al.. (2023). Innate immune evasion strategies of SARS-CoV-2. Nature Reviews Microbiology. 21(3). 178–194. 134 indexed citations breakdown →
7.
Laurent, Paôline, Chao Yang, André F. Rendeiro, et al.. (2022). Sensing of SARS-CoV-2 by pDCs and their subsequent production of IFN-I contribute to macrophage-induced cytokine storm during COVID-19. Science Immunology. 7(75). eadd4906–eadd4906. 53 indexed citations
8.
Adrover, José M., Lucía Carrau, Juliane Daßler‐Plenker, et al.. (2022). Disulfiram inhibits neutrophil extracellular trap formation and protects rodents from acute lung injury and SARS-CoV-2 infection. JCI Insight. 7(5). 87 indexed citations
9.
Bram, Yaron, Xiaohua Duan, Vasuretha Chandar, et al.. (2022). Dual-Reporter System for Real-Time Monitoring of SARS-CoV-2 Main Protease Activity in Live Cells Enables Identification of an Allosteric Inhibition Path. PubMed. 2(6). 627–641. 2 indexed citations
10.
Sandoval‐Velasco, Marcela, Jorge Gómez‐Valdés, Gabriela Solís‐Pichardo, et al.. (2021). Ancient viral genomes reveal introduction of human pathogenic viruses into Mexico during the transatlantic slave trade. eLife. 10. 26 indexed citations
11.
Nilsson-Payant, Benjamin E., Skyler Uhl, Adrien Grimont, et al.. (2021). The NF-κB Transcriptional Footprint Is Essential for SARS-CoV-2 Replication. Journal of Virology. 95(23). e0125721–e0125721. 61 indexed citations
12.
Nilsson-Payant, Benjamin E., Daniel Blanco-Melo, Skyler Uhl, et al.. (2021). Reduced Nucleoprotein Availability Impairs Negative-Sense RNA Virus Replication and Promotes Host Recognition. Journal of Virology. 95(9). 27 indexed citations
13.
Eggenberger, Julie, Daniel Blanco-Melo, Maryline Panis, Kristen Brennand, & Benjamin R. tenOever. (2019). Type I interferon response impairs differentiation potential of pluripotent stem cells. Proceedings of the National Academy of Sciences. 116(4). 1384–1393. 36 indexed citations
14.
Muñoz-Moreno, Raquel, Carles Martínez‐Romero, Daniel Blanco-Melo, et al.. (2019). Viral Fitness Landscapes in Diverse Host Species Reveal Multiple Evolutionary Lines for the NS1 Gene of Influenza A Viruses. SSRN Electronic Journal. 1 indexed citations
15.
Duehr, James, Teddy John Wohlbold, Lisa Oestereich, et al.. (2017). Novel Cross-Reactive Monoclonal Antibodies against Ebolavirus Glycoproteins Show Protection in a Murine Challenge Model. Journal of Virology. 91(16). 27 indexed citations
16.
Wohlbold, Teddy John, Kira A. Podolsky, Veronika Chromikova, et al.. (2017). Broadly protective murine monoclonal antibodies against influenza B virus target highly conserved neuraminidase epitopes. Nature Microbiology. 2(10). 1415–1424. 99 indexed citations
17.
Perez, Jasmine T., Andrew Varble, Ravi Sachidanandam, et al.. (2010). Influenza A virus-generated small RNAs regulate the switch from transcription to replication. Proceedings of the National Academy of Sciences. 107(25). 11525–11530. 161 indexed citations
18.
Zaslavsky, Elena, Uri Hershberg, Jeremy Seto, et al.. (2010). Antiviral Response Dictated by Choreographed Cascade of Transcription Factors. The Journal of Immunology. 184(6). 2908–2917. 45 indexed citations
19.
Grandvaux, Nathalie, François Gaboriau, Jennifer L. Harris, et al.. (2005). Regulation of arginase II by interferon regulatory factor 3 and the involvement of polyamines in the antiviral response. FEBS Journal. 272(12). 3120–3131. 32 indexed citations
20.
Miller, Kristen L., Susan McArdle, Michael Gale, et al.. (2004). Effects of the Hepatitis C Virus Core Protein on Innate Cellular Defense Pathways. Journal of Interferon & Cytokine Research. 24(7). 391–402. 39 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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