Jonathan C. Brown

34.4k total citations · 1 hit paper
75 papers, 1.7k citations indexed

About

Jonathan C. Brown is a scholar working on Infectious Diseases, Cultural Studies and Demography. According to data from OpenAlex, Jonathan C. Brown has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 14 papers in Cultural Studies and 13 papers in Demography. Recurrent topics in Jonathan C. Brown's work include SARS-CoV-2 and COVID-19 Research (14 papers), Argentine historical studies (14 papers) and History and Politics in Latin America (12 papers). Jonathan C. Brown is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (14 papers), Argentine historical studies (14 papers) and History and Politics in Latin America (12 papers). Jonathan C. Brown collaborates with scholars based in United Kingdom, United States and Netherlands. Jonathan C. Brown's co-authors include William Barclay, Gwen A. Frishkoff, Maxine Eskénazi, Jie Zhou, Rebecca Penn, Robin J. Shattock, Paul F. McKay, Daniel H. Goldhill, Thomas P. Peacock and Laury Baillon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Jonathan C. Brown

62 papers receiving 1.6k citations

Hit Papers

The furin cleavage site in the SARS-CoV-2 spike protein i... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan C. Brown United Kingdom 17 768 406 174 150 147 75 1.7k
Tung Thanh Le Japan 9 1.3k 1.7× 387 1.0× 201 1.2× 45 0.3× 78 0.5× 12 2.1k
Yi-Ling Lee Taiwan 18 450 0.6× 336 0.8× 274 1.6× 22 0.1× 25 0.2× 26 1.4k
Dan Xiong China 24 471 0.6× 979 2.4× 209 1.2× 16 0.1× 36 0.2× 122 2.7k
Phillip W. Jones United States 17 195 0.3× 265 0.7× 51 0.3× 27 0.2× 108 0.7× 47 1.4k
Esteban Ortiz-Ospina United Kingdom 10 795 1.0× 87 0.2× 43 0.2× 77 0.5× 20 0.1× 16 1.8k
Zacharias Andreadakis Norway 4 845 1.1× 235 0.6× 118 0.7× 33 0.2× 45 0.3× 8 1.4k
Chris Smith United Kingdom 27 809 1.1× 147 0.4× 64 0.4× 8 0.1× 43 0.3× 192 2.7k
May CI van Schalkwyk United Kingdom 26 555 0.7× 250 0.6× 319 1.8× 9 0.1× 36 0.2× 94 2.6k
Jane Calvert United Kingdom 28 221 0.3× 795 2.0× 226 1.3× 29 0.2× 46 0.3× 100 2.5k
Dieter Hoffmann Germany 21 290 0.4× 407 1.0× 88 0.5× 9 0.1× 99 0.7× 85 1.8k

Countries citing papers authored by Jonathan C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan C. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan C. Brown. A scholar is included among the top collaborators of Jonathan C. Brown 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 Jonathan C. Brown. Jonathan C. Brown 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.
Brown, Jonathan C., Ksenia Sukhova, Wilhelm Furnon, et al.. (2025). Interference between SARS-CoV-2 and influenza B virus during coinfection is mediated by induction of specific interferon responses in the lung epithelium. Virology. 608. 110556–110556.
2.
Zhou, Jie, Ksenia Sukhova, Rebecca Frise, et al.. (2025). SARS-CoV-2 variants retain high airborne transmissibility by different strategies. PubMed. 3(1). 39–39.
3.
Ogger, Patricia P., Jie Zhou, Jonathan C. Brown, et al.. (2024). SARS-CoV-2 strains bearing Omicron BA.1 spike replicate in C57BL/6 mice. Frontiers in Immunology. 15. 1383612–1383612.
4.
Ke, Zunlong, Thomas P. Peacock, Jonathan C. Brown, et al.. (2024). Virion morphology and on-virus spike protein structures of diverse SARS-CoV-2 variants. The EMBO Journal. 43(24). 6469–6495. 4 indexed citations
5.
Styles, Christine T., Jie Zhou, Katie E. Flight, et al.. (2023). Propylene glycol inactivates respiratory viruses and prevents airborne transmission. EMBO Molecular Medicine. 15(12). e17932–e17932. 5 indexed citations
6.
Yan, Ada W. C., Jonathan C. Brown, Ksenia Sukhova, et al.. (2023). Modelling the viral dynamics of the SARS-CoV-2 Delta and Omicron variants in different cell types. Journal of The Royal Society Interface. 20(205). 20230187–20230187. 7 indexed citations
7.
Stewart, Hazel, Roberta Palmulli, K. Johansen, et al.. (2023). Tetherin antagonism by SARS‐CoV ‐2 ORF3a and spike protein enhances virus release. EMBO Reports. 24(12). e57224–e57224. 11 indexed citations
8.
Idoko-Akoh, Alewo, Daniel H. Goldhill, Carol Sheppard, et al.. (2023). Creating resistance to avian influenza infection through genome editing of the ANP32 gene family. Nature Communications. 14(1). 45 indexed citations
9.
Atchison, Christina, Maya Moshe, Jonathan C. Brown, et al.. (2022). Validity of Self-testing at Home With Rapid Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Detection by Lateral Flow Immunoassay. Clinical Infectious Diseases. 76(4). 658–666. 9 indexed citations
10.
McKay, Paul F., Jie Zhou, Rebecca Frise, et al.. (2022). Polymer formulated self-amplifying RNA vaccine is partially protective against influenza virus infection in ferrets. PubMed. 3(1). iqac004–iqac004. 8 indexed citations
11.
Brown, Jonathan C., et al.. (2021). Inactivation of SARS-CoV-2 in chlorinated swimming pool water. Water Research. 205. 117718–117718. 17 indexed citations
12.
McKay, Paul F., Kai Hu, Anna K. Blakney, et al.. (2020). Self-amplifying RNA SARS-CoV-2 lipid nanoparticle vaccine candidate induces high neutralizing antibody titers in mice. Nature Communications. 11(1). 3523–3523. 339 indexed citations
13.
Serwa, Remigiusz, et al.. (2019). Analysis of a fully infectious bio-orthogonally modified human virus reveals novel features of virus cell entry. PLoS Pathogens. 15(10). e1007956–e1007956. 5 indexed citations
14.
Brown, Jonathan C.. (2001). North meets south : Argentina y la 'nueva economía institucional'. Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires).
15.
Brown, Jonathan C.. (1993). Juan Bautista Alberdi y la doctrina del capitalismo liberal en la Argentina. Repositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires). 3(4). 61–74.
16.
Brown, Jonathan C.. (1991). Economía e historia: Contribuciones a la historia económica argentina. Hispanic American Historical Review. 71(1). 156–157. 3 indexed citations
17.
Brown, Jonathan C.. (1982). Murillo, pintor de temas eróticos: Una faceta inadvertida de su obra. Goya: Revista de arte. 8(169). 35–43.
18.
Brown, Jonathan C., et al.. (1981). Un palacio para el rey: El Buen Retiro y la corte de Felipe IV. Virtual Defense Library (Ministerio de Defensa). 34 indexed citations
19.
Brown, Jonathan C.. (1965). La teoría del arte de Pablo de Céspedes. 19–29. 1 indexed citations
20.
Brown, Jonathan C.. (1963). Dos obras tempranas de Bartolomé Bermejo y su relación con Flandes. Archivo Español de Arte. 36(144). 269–280. 1 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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