Laury Baillon

2.0k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Laury Baillon is a scholar working on Infectious Diseases, Immunology and Animal Science and Zoology. According to data from OpenAlex, Laury Baillon has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Immunology and 4 papers in Animal Science and Zoology. Recurrent topics in Laury Baillon's work include Influenza Virus Research Studies (4 papers), Aquaculture disease management and microbiota (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Laury Baillon is often cited by papers focused on Influenza Virus Research Studies (4 papers), Aquaculture disease management and microbiota (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Laury Baillon collaborates with scholars based in United Kingdom, France and Denmark. Laury Baillon's co-authors include William Barclay, Rebecca Penn, Olivia C. Swann, Michael Osborn, Brian Hanley, Rebecca Frise, Thomas P. Peacock, Daniel H. Goldhill, Ecco Staller and Ruthiran Kugathasan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Virology.

In The Last Decade

Laury Baillon

15 papers receiving 1.1k 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
Laury Baillon United Kingdom 11 779 211 205 182 136 16 1.1k
Qiang Wei China 14 1.1k 1.4× 210 1.0× 143 0.7× 200 1.1× 182 1.3× 26 1.5k
Vanessa Monteil Sweden 14 1.6k 2.0× 442 2.1× 182 0.9× 515 2.8× 136 1.0× 23 2.1k
Victoria A. Avanzato United States 12 1.1k 1.4× 229 1.1× 109 0.5× 156 0.9× 209 1.5× 20 1.3k
Haogao Gu Hong Kong 13 854 1.1× 113 0.5× 73 0.4× 190 1.0× 148 1.1× 33 1.1k
Evan P. Williams United States 9 768 1.0× 234 1.1× 656 3.2× 764 4.2× 251 1.8× 21 1.8k
Heui Man Kim South Korea 15 602 0.8× 78 0.4× 225 1.1× 151 0.8× 369 2.7× 29 1.1k
Terence E. Hill United States 16 582 0.7× 92 0.4× 107 0.5× 87 0.5× 187 1.4× 25 846
Michael J. Griffiths United Kingdom 21 557 0.7× 164 0.8× 236 1.2× 202 1.1× 336 2.5× 50 1.5k
Kendra L. Gully United States 8 800 1.0× 211 1.0× 138 0.7× 148 0.8× 108 0.8× 12 991

Countries citing papers authored by Laury Baillon

Since Specialization
Citations

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

Fields of papers citing papers by Laury Baillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laury Baillon

This figure shows the co-authorship network connecting the top 25 collaborators of Laury Baillon. A scholar is included among the top collaborators of Laury Baillon 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 Laury Baillon. Laury Baillon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
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.
2.
Sheppard, Carol, Daniel H. Goldhill, Olivia C. Swann, et al.. (2023). An Influenza A virus can evolve to use human ANP32E through altering polymerase dimerization. Nature Communications. 14(1). 6135–6135. 14 indexed citations
3.
Zhou, Jie, Ksenia Sukhova, Thomas P. Peacock, et al.. (2023). Omicron breakthrough infections in vaccinated or previously infected hamsters. Proceedings of the National Academy of Sciences. 120(45). e2308655120–e2308655120. 4 indexed citations
4.
Burnham, Katie L., Laury Baillon, Claudia Selck, et al.. (2022). Transcriptional reprogramming from innate immune functions to a pro-thrombotic signature by monocytes in COVID-19. Nature Communications. 13(1). 7947–7947. 26 indexed citations
5.
Baillon, Laury, Rebecca Frise, Richard Hewitt, et al.. (2022). Distinct airway epithelial immune responses after infection with SARS-CoV-2 compared to H1N1. Mucosal Immunology. 15(5). 952–963. 20 indexed citations
6.
Frise, Rebecca, Laury Baillon, Jie Zhou, et al.. (2022). A self-amplifying RNA vaccine protects against SARS-CoV-2 (D614G) and Alpha variant of concern (B.1.1.7) in a transmission-challenge hamster model. Vaccine. 40(20). 2848–2855. 11 indexed citations
7.
Penn, Rebecca, John S. Tregoning, Katie E. Flight, et al.. (2022). Levels of Influenza A Virus Defective Viral Genomes Determine Pathogenesis in the BALB/c Mouse Model. Journal of Virology. 96(21). e0117822–e0117822. 10 indexed citations
8.
Staller, Ecco, Carol Sheppard, Laury Baillon, et al.. (2021). A natural variant in ANP32B impairs influenza virus replication in human cells. Journal of General Virology. 102(9). 9 indexed citations
9.
Peacock, Thomas P., Daniel H. Goldhill, Jie Zhou, et al.. (2021). The furin cleavage site in the SARS-CoV-2 spike protein is required for transmission in ferrets. Nature Microbiology. 6(7). 899–909. 464 indexed citations breakdown →
10.
Baillon, Laury, Emilie Mérour, Joëlle Cabon, et al.. (2020). The Viral Hemorrhagic Septicemia Virus (VHSV) Markers of Virulence in Rainbow Trout (Oncorhynchus mykiss). Frontiers in Microbiology. 11. 574231–574231. 32 indexed citations
11.
Hanley, Brian, Kikkeri N. Naresh, Candice Roufosse, et al.. (2020). Histopathological findings and viral tropism in UK patients with severe fatal COVID-19: a post-mortem study. The Lancet Microbe. 1(6). e245–e253. 385 indexed citations
12.
Baillon, Laury, Emilie Mérour, Joëlle Cabon, et al.. (2017). A single amino acid change in the non-structural NV protein impacts the virulence phenotype of Viral hemorrhagic septicemia virus in trout. Journal of General Virology. 98(6). 1181–1184. 16 indexed citations
13.
Martenot, Claire, Amélie Segarra, Laury Baillon, et al.. (2016). In situ localization and tissue distribution of ostreid herpesvirus 1 proteins in infected Pacific oyster, Crassostrea gigas. Journal of Invertebrate Pathology. 136. 124–135. 23 indexed citations
14.
Segarra, Amélie, Laury Baillon, Nicole Faury, Delphine Tourbiez, & Tristan Renault. (2015). Detection and distribution of ostreid herpesvirus 1 in experimentally infected Pacific oyster spat. Journal of Invertebrate Pathology. 133. 59–65. 23 indexed citations
15.
Béchemin, Christian, Patrick Soletchnik, Pierre Polsenaere, et al.. (2014). Surmortalités de la moule bleue Mytilus edulis dans les Pertuis Charentais (mars 2014). Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 2 indexed citations
16.
Segarra, Amélie, Laury Baillon, Delphine Tourbiez, et al.. (2014). Ostreid herpesvirus type 1 replication and host response in adult Pacific oysters, Crassostrea gigas. Veterinary Research. 45(1). 103–103. 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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