John N. Barr

4.3k total citations
80 papers, 3.2k citations indexed

About

John N. Barr is a scholar working on Infectious Diseases, Epidemiology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, John N. Barr has authored 80 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Infectious Diseases, 35 papers in Epidemiology and 26 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in John N. Barr's work include Viral Infections and Vectors (51 papers), Vector-Borne Animal Diseases (26 papers) and Mosquito-borne diseases and control (22 papers). John N. Barr is often cited by papers focused on Viral Infections and Vectors (51 papers), Vector-Borne Animal Diseases (26 papers) and Mosquito-borne diseases and control (22 papers). John N. Barr collaborates with scholars based in United Kingdom, United States and Germany. John N. Barr's co-authors include Gail W. Wertz, Sean P. J. Whelan, Julian A. Hiscox, Cheryl Walter, L. Andrew Ball, Jamel Mankouri, Diane C. Munday, Weining Wu, Rebecca Surtees and Roger Hewson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John N. Barr

78 papers receiving 3.1k citations

Peers

John N. Barr
Joseph Hughes United Kingdom
Massimo Palmarini United Kingdom
Ronald N. Harty United States
David B. Boyle Australia
Louis M. Mansky United States
Jason Paragas United States
Joseph Hughes United Kingdom
John N. Barr
Citations per year, relative to John N. Barr John N. Barr (= 1×) peers Joseph Hughes

Countries citing papers authored by John N. Barr

Since Specialization
Citations

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

Fields of papers citing papers by John N. Barr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Barr. 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 John N. Barr. The network helps show where John N. Barr may publish in the future.

Co-authorship network of co-authors of John N. Barr

This figure shows the co-authorship network connecting the top 25 collaborators of John N. Barr. A scholar is included among the top collaborators of John N. Barr 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 John N. Barr. John N. Barr 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.
Hewson, Roger, et al.. (2024). Lymphocytic choriomeningitis arenavirus requires cellular COPI and AP-4 complexes for efficient virion production. Journal of Virology. 98(3). e0200623–e0200623. 2 indexed citations
2.
Barr, John N., et al.. (2024). Insights into the structure of RNPs from segmented negative-sense RNA viruses. Structure. 32(8). 1027–1028.
3.
Moon-Walker, Alex, Erica Ollmann Saphire, Sean P. J. Whelan, et al.. (2024). Cellular endosomal potassium ion flux regulates arenavirus uncoating during virus entry. mBio. 15(7). e0168423–e0168423. 4 indexed citations
4.
Moon-Walker, Alex, Erica Ollmann Saphire, Sean P. J. Whelan, et al.. (2024). Lymphocytic choriomeningitis arenavirus utilises intercellular connections for cell to cell spread. Scientific Reports. 14(1). 28961–28961. 2 indexed citations
5.
Vallet, Thomas, Zhong Li, Bertrand Boson, et al.. (2024). The low-density lipoprotein receptor and apolipoprotein E associated with CCHFV particles mediate CCHFV entry into cells. Nature Communications. 15(1). 4542–4542. 5 indexed citations
6.
White, Joshua B., Daniel P. Maskell, Matthew J. Byrne, et al.. (2024). The cryoEM structure of the Hendra henipavirus nucleoprotein reveals insights into paramyxoviral nucleocapsid architectures. Scientific Reports. 14(1). 14099–14099.
7.
Liao, Laura E., Sophie J. Smither, Simon A. Weller, et al.. (2020). Quantification of Ebola virus replication kinetics in vitro. PLoS Computational Biology. 16(11). e1008375–e1008375. 10 indexed citations
8.
Tiede, Christian, Alexis C. R. Hoste, Rebecca Surtees, et al.. (2020). Characterization and applications of a Crimean-Congo hemorrhagic fever virus nucleoprotein-specific Affimer: Inhibitory effects in viral replication and development of colorimetric diagnostic tests. PLoS neglected tropical diseases. 14(6). e0008364–e0008364. 6 indexed citations
9.
Hewson, Roger, et al.. (2019). Cellular cholesterol abundance regulates potassium accumulation within endosomes and is an important determinant in bunyavirus entry. Journal of Biological Chemistry. 294(18). 7335–7347. 23 indexed citations
10.
Hewson, Roger, et al.. (2018). Potassium is a trigger for conformational change in the fusion spike of an enveloped RNA virus. Journal of Biological Chemistry. 293(26). 9937–9944. 32 indexed citations
11.
Surtees, Rebecca, A. Ariza, Chi H. Trinh, et al.. (2015). The crystal structure of the Hazara virus nucleocapsid protein. BMC Structural Biology. 15(1). 24–24. 27 indexed citations
12.
Shepherd, Dale A., A. Ariza, Thomas A. Edwards, et al.. (2014). Probing Bunyavirus N protein oligomerisation using mass spectrometry. Rapid Communications in Mass Spectrometry. 28(7). 793–800. 5 indexed citations
13.
Dent, Kyle C., Rebecca F. Thompson, Amy Barker, et al.. (2013). The Asymmetric Structure of an Icosahedral Virus Bound to Its Receptor Suggests a Mechanism for Genome Release. Structure. 21(7). 1225–1234. 60 indexed citations
14.
Munday, Diane C., Rebecca Surtees, Edward Emmott, et al.. (2012). Using SILAC and quantitative proteomics to investigate the interactions between viral and host proteomes. PROTEOMICS. 12(4-5). 666–672. 55 indexed citations
15.
Wu, Weining, Andrew Macdonald, Julian A. Hiscox, & John N. Barr. (2011). Different NF-κB activation characteristics of human respiratory syncytial virus subgroups A and B. Microbial Pathogenesis. 52(3). 184–191. 8 indexed citations
16.
Barr, John N., et al.. (2009). Investigating the specificity and stoichiometry of RNA binding by the nucleocapsid protein of Bunyamwera virus. RNA. 15(3). 391–399. 25 indexed citations
17.
Barr, John N.. (2007). Bunyavirus mRNA synthesis is coupled to translation to prevent premature transcription termination. RNA. 13(5). 731–736. 48 indexed citations
18.
Zhou, Qingxian, et al.. (2006). Purification, crystallization and preliminary X-ray crystallographic analysis of the nucleocapsid protein of Bunyamwera virus. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 62(4). 361–364. 9 indexed citations
19.
Barr, John N., Sean P. J. Whelan, & Gail W. Wertz. (2002). Transcriptional control of the RNA-dependent RNA polymerase of vesicular stomatitis virus. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1577(2). 337–353. 95 indexed citations
20.
Whelan, Sean P. J., et al.. (1995). Efficient recovery of infectious vesicular stomatitis virus entirely from cDNA clones.. Proceedings of the National Academy of Sciences. 92(18). 8388–8392. 397 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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