Catherine Charreyre

1.2k total citations
25 papers, 594 citations indexed

About

Catherine Charreyre is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics. According to data from OpenAlex, Catherine Charreyre has authored 25 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Animal Science and Zoology, 15 papers in Infectious Diseases and 10 papers in Genetics. Recurrent topics in Catherine Charreyre's work include Animal Virus Infections Studies (20 papers), Viral gastroenteritis research and epidemiology (14 papers) and Virus-based gene therapy research (10 papers). Catherine Charreyre is often cited by papers focused on Animal Virus Infections Studies (20 papers), Viral gastroenteritis research and epidemiology (14 papers) and Virus-based gene therapy research (10 papers). Catherine Charreyre collaborates with scholars based in France, United Kingdom and Canada. Catherine Charreyre's co-authors include Gordon Allan, John Ellis, Steven Krakowka, Brian Meehan, D.P. Mackie, E. Espuña, Narcı́s Saubi, P. Riera, John A. Ellis and Anette Bøtner and has published in prestigious journals such as PLoS ONE, Journal of General Virology and BMC Genomics.

In The Last Decade

Catherine Charreyre

24 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Charreyre France 14 453 358 313 141 63 25 594
Cheryl M.T. Dvorak United States 14 434 1.0× 392 1.1× 325 1.0× 141 1.0× 47 0.7× 29 635
Vicky Fachinger Germany 10 415 0.9× 330 0.9× 257 0.8× 77 0.5× 95 1.5× 12 582
Yanwu Wei China 16 597 1.3× 408 1.1× 410 1.3× 256 1.8× 31 0.5× 47 717
Patricia Renson France 16 420 0.9× 411 1.1× 217 0.7× 91 0.6× 43 0.7× 30 579
Jean‐Pierre Frossard United Kingdom 16 538 1.2× 490 1.4× 367 1.2× 59 0.4× 77 1.2× 40 650
Hongli Wu China 15 423 0.9× 292 0.8× 347 1.1× 183 1.3× 25 0.4× 30 596
Lisbeth Fuxler Sweden 12 271 0.6× 193 0.5× 145 0.5× 90 0.6× 138 2.2× 15 465
Min‐Yuan Chia Taiwan 17 406 0.9× 416 1.2× 247 0.8× 240 1.7× 49 0.8× 39 716
Manlin Luo China 15 490 1.1× 402 1.1× 327 1.0× 141 1.0× 15 0.2× 31 583
Ikjae Kang South Korea 14 623 1.4× 532 1.5× 419 1.3× 114 0.8× 21 0.3× 47 680

Countries citing papers authored by Catherine Charreyre

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Charreyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Charreyre

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Charreyre. A scholar is included among the top collaborators of Catherine Charreyre 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 Catherine Charreyre. Catherine Charreyre 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.
Schreur, Paul J. Wichgers, Mirriam G. J. Tacken, Markus Keller, et al.. (2021). Vaccine Efficacy of Self-Assembled Multimeric Protein Scaffold Particles Displaying the Glycoprotein Gn Head Domain of Rift Valley Fever Virus. Vaccines. 9(3). 301–301. 20 indexed citations
2.
Liu, Shuqing, Wentao Li, Yang Wang, et al.. (2017). Coinfection with Haemophilus parasuis serovar 4 increases the virulence of porcine circovirus type 2 in piglets. Virology Journal. 14(1). 227–227. 21 indexed citations
3.
Lemaître, L., et al.. (2016). Protection from Hendra virus infection with Canarypox recombinant vaccine. npj Vaccines. 1(1). 16003–16003. 10 indexed citations
4.
Dewulf, Jeroen, Tom Meyns, C. Andréoni, et al.. (2016). Effect of sow vaccination against porcine circovirus type 2 (PCV2) on virological profiles in herds with or without PCV2 systemic disease.. PubMed. 57(6). 619–28. 12 indexed citations
5.
McKillen, John, et al.. (2016). Reproduction of post-weaning multi-systemic wasting syndrome in an animal disease model as a tool for vaccine testing under controlled conditions. Research in Veterinary Science. 105. 143–152. 1 indexed citations
6.
López, Sergio Luis González, Marina Sibila, Miquel Nofrarías, et al.. (2014). Effect of porcine circovirus type 2 (PCV2) load in serum on average daily weight gain during the postweaning period. Veterinary Microbiology. 174(3-4). 296–301. 16 indexed citations
7.
Liu, Chong, Yang Wang, Shuang Cheng, et al.. (2014). Porcine Coronin 1A Contributes to Nuclear Factor-Kappa B (NF-κB) Inactivation during Haemophilus parasuis Infection. PLoS ONE. 9(8). e103904–e103904. 11 indexed citations
8.
Liu, Chong, Shuang Cheng, Xiaofei Wang, et al.. (2013). Porcine CD74 is involved in the inflammatory response activated by nuclear factor kappa B during porcine circovirus type 2 (PCV-2) infection. Archives of Virology. 158(11). 2285–2295. 18 indexed citations
9.
Li, Wentao, Shuqing Liu, Yang Wang, et al.. (2013). Transcription analysis of the porcine alveolar macrophage response to porcine circovirus type 2. BMC Genomics. 14(1). 353–353. 35 indexed citations
10.
Díaz, Iván, Mariona Gimeno, Joan Pujols, et al.. (2013). Comparison of different vaccination schedules for sustaining the immune response against porcine reproductive and respiratory syndrome virus. The Veterinary Journal. 197(2). 438–444. 15 indexed citations
12.
Lefèvre, Eric A., B. Veronica Carr, Helen Prentice, et al.. (2012). Assessment of T-dependent and T-independent immune responses in cattle using a B cell ELISPOT assay. Veterinary Research. 43(1). 68–68. 13 indexed citations
13.
Wang, Yang, Chong Liu, Ying Fang, et al.. (2012). Transcription analysis on response of porcine alveolar macrophages to Haemophilus parasuis. BMC Genomics. 13(1). 68–68. 39 indexed citations
15.
Allan, Gordon, Steven Krakowka, John Ellis, & Catherine Charreyre. (2011). Discovery and evolving history of two genetically related but phenotypically different viruses, porcine circoviruses 1 and 2. Virus Research. 164(1-2). 4–9. 60 indexed citations
16.
Krakowka, Steven, Gordon Allan, John Ellis, et al.. (2011). A nine-base nucleotide sequence in the porcine circovirus type 2 (PCV2) nucleocapsid gene determines viral replication and virulence. Virus Research. 164(1-2). 90–99. 30 indexed citations
17.
Poulet, Hervé, et al.. (2007). Protection of Newborn Animals through Maternal Immunization. Journal of Comparative Pathology. 137. S32–S34. 27 indexed citations
19.
Allan, Gordon, Brian Meehan, S. Kennedy, et al.. (1999). Isolation and characterisation of circoviruses from pigs with wasting syndromes in Spain, Denmark and Northern Ireland. Veterinary Microbiology. 66(2). 115–123. 164 indexed citations
20.
Charreyre, Catherine & Niels C. Pedersen. (1991). Study of feline leukemia virus immunity. Journal of the American Veterinary Medical Association. 199(10). 1316–1324. 16 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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