François Meurens

5.8k total citations · 1 hit paper
125 papers, 4.4k citations indexed

About

François Meurens is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, François Meurens has authored 125 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Immunology, 37 papers in Infectious Diseases and 34 papers in Epidemiology. Recurrent topics in François Meurens's work include Animal Virus Infections Studies (25 papers), Herpesvirus Infections and Treatments (24 papers) and Immune Response and Inflammation (24 papers). François Meurens is often cited by papers focused on Animal Virus Infections Studies (25 papers), Herpesvirus Infections and Treatments (24 papers) and Immune Response and Inflammation (24 papers). François Meurens collaborates with scholars based in France, Canada and China. François Meurens's co-authors include Artur Summerfield, Volker Gerdts, Linda J. Saif, Hans Nauwynck, Meret E. Ricklin, Henri H. Salmon, Mustapha Berri, Galliano Zanello, Étienne Thiry and Jianzhong Zhu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

François Meurens

122 papers receiving 4.3k citations

Hit Papers

The pig: a model for human infectious diseases 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Meurens France 34 1.1k 1.0k 967 916 912 125 4.4k
Volker Gerdts Canada 37 1.6k 1.4× 1.5k 1.5× 955 1.0× 1.4k 1.5× 947 1.0× 155 5.0k
Chunfeng Wang China 32 762 0.7× 926 0.9× 1.0k 1.1× 595 0.6× 580 0.6× 191 3.2k
Bernd Kaspers Germany 41 1.8k 1.6× 773 0.8× 779 0.8× 1.4k 1.5× 1.1k 1.3× 124 4.3k
In‐Soo Choi South Korea 34 460 0.4× 1.5k 1.5× 744 0.8× 960 1.0× 799 0.9× 193 3.7k
David Driemeier Brazil 29 466 0.4× 815 0.8× 1.2k 1.2× 814 0.9× 648 0.7× 568 4.9k
Han Sang Yoo South Korea 34 828 0.8× 1.1k 1.1× 1.1k 1.1× 741 0.8× 390 0.4× 256 4.5k
Francisco J. Salguero United Kingdom 37 730 0.7× 2.0k 2.0× 890 0.9× 863 0.9× 1.1k 1.2× 188 4.4k
Philip Griebel Canada 42 2.3k 2.1× 1.0k 1.0× 1.7k 1.7× 1.1k 1.2× 644 0.7× 181 5.6k
Brian J. Nonnecke United States 34 1.0k 0.9× 801 0.8× 699 0.7× 658 0.7× 598 0.7× 106 3.8k
Randy E. Sacco United States 28 668 0.6× 717 0.7× 555 0.6× 571 0.6× 487 0.5× 106 2.6k

Countries citing papers authored by François Meurens

Since Specialization
Citations

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

Fields of papers citing papers by François Meurens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Meurens

This figure shows the co-authorship network connecting the top 25 collaborators of François Meurens. A scholar is included among the top collaborators of François Meurens 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 François Meurens. François Meurens 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.
Meurens, François, et al.. (2025). Piggybacking on nature: exploring the multifaceted world of porcine β-defensins. Veterinary Research. 56(1). 47–47.
2.
Sun, Ziyan, K. Zhang, Sen Jiang, et al.. (2025). The capsid protein p72 specific mAb and the corresponding novel epitope based ELISAs for detection of ASFV infection. Veterinary Microbiology. 303. 110437–110437. 1 indexed citations
3.
Haenni, Marisa, Séverine Murri, Jesper Larsen, et al.. (2024). Methicillin-resistant and methicillin-susceptible Staphylococcus aureus in French hedgehogs admitted to a wildlife health center. One Health. 19. 100938–100938. 2 indexed citations
4.
Chen, Nanhua, et al.. (2023). How Does cGAS Avoid Sensing Self-DNA under Normal Physiological Conditions?. International Journal of Molecular Sciences. 24(19). 14738–14738. 6 indexed citations
5.
Munir, Muhammad Tanveer, et al.. (2023). Physical Treatments to Control Clostridium botulinum Hazards in Food. Foods. 12(8). 1580–1580. 17 indexed citations
6.
Zhang, Youwen, Yulin Xu, Sen Jiang, et al.. (2023). Multiple Porcine Innate Immune Signaling Pathways Are Involved in the Anti-PEDV Response. Viruses. 15(8). 1629–1629.
7.
Zhang, Desheng, Sen Jiang, Youwen Zhang, et al.. (2023). Rapid Visual Detection of African Swine Fever Virus with a CRISPR/Cas12a Lateral Flow Strip Based on Structural Protein Gene D117L. Animals. 13(23). 3712–3712. 6 indexed citations
8.
Zheng, Wanglong, et al.. (2023). How the Innate Immune DNA Sensing cGAS-STING Pathway Is Involved in Apoptosis. International Journal of Molecular Sciences. 24(3). 3029–3029. 48 indexed citations
9.
Xu, Yulin, Ming Qiu, Sen Jiang, et al.. (2023). Manganese Mediates Its Antiviral Functions in a cGAS-STING Pathway Independent Manner. Viruses. 15(3). 646–646. 6 indexed citations
10.
Bouquin, Sophie Le, Rozenn Souillard, Caroline Le Maréchal, et al.. (2022). Human and animal botulism surveillance in France from 2008 to 2019. Frontiers in Public Health. 10. 1003917–1003917. 14 indexed citations
11.
Jiang, Sen, Yulin Xu, Qi Shao, et al.. (2021). African Swine Fever Virus A528R Inhibits TLR8 Mediated NF-κB Activity by Targeting p65 Activation and Nuclear Translocation. Viruses. 13(10). 2046–2046. 26 indexed citations
12.
Zheng, Wanglong, Jiajia Zhang, Nanhua Chen, et al.. (2021). How the Innate Immune DNA Sensing cGAS–STING Pathway Is Involved in Autophagy. International Journal of Molecular Sciences. 22(24). 13232–13232. 27 indexed citations
13.
Wang, Hui, Xueliang Liu, Qi Shao, et al.. (2020). African Swine Fever Virus Structural Protein p17 Inhibits Cell Proliferation through ER Stress—ROS Mediated Cell Cycle Arrest. Viruses. 13(1). 21–21. 37 indexed citations
14.
Saadé, Georges, Caroline Hervet, Patricia Renson, et al.. (2020). Porcine Reproductive and Respiratory Syndrome Virus Interferes with Swine Influenza A Virus Infection of Epithelial Cells. Vaccines. 8(3). 508–508. 15 indexed citations
15.
Provost, Chantale, et al.. (2017). Dual infections of CD163 expressing NPTr epithelial cells with influenza A virus and PRRSV. Veterinary Microbiology. 207. 143–148. 12 indexed citations
16.
Käser, Tobias, J. Alex Pasternak, Ken Lai, et al.. (2015). Porcine retinal cell line VIDO R1 and Chlamydia suis to modelize ocular chlamydiosis. Veterinary Immunology and Immunopathology. 166(3-4). 95–107. 11 indexed citations
17.
18.
Bougarn, Salim, Pedro P. Cunha, Florence B. Gilbert, François Meurens, & Pascal Rainard. (2011). Technical note: Validation of candidate reference genes for normalization of quantitative PCR in bovine mammary epithelial cells responding to inflammatory stimuli. Journal of Dairy Science. 94(5). 2425–2430. 53 indexed citations
19.
Muylkens, Benoît, François Meurens, Frédéric Schynts, & Étienne Thiry. (2003). Les facteurs de virulence des alphaherpèsvirus. Open Repository and Bibliography (University of Liège). 2 indexed citations
20.
Meurens, François, Frédéric Schynts, & Étienne Thiry. (2001). La recombinaison chez les alphaherpèsvirus. Annales de médecine vétérinaire. 145. 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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