C. Fablet

1.9k total citations
55 papers, 1.3k citations indexed

About

C. Fablet is a scholar working on Animal Science and Zoology, Infectious Diseases and Microbiology. According to data from OpenAlex, C. Fablet has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Animal Science and Zoology, 20 papers in Infectious Diseases and 15 papers in Microbiology. Recurrent topics in C. Fablet's work include Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (20 papers) and Microbial infections and disease research (15 papers). C. Fablet is often cited by papers focused on Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (20 papers) and Microbial infections and disease research (15 papers). C. Fablet collaborates with scholars based in France, Denmark and Canada. C. Fablet's co-authors include Nicolas Rose, F. Madec, M. Kobisch, Corinne Marois‐Créhan, Gaëlle Simon, Éric Eveno, Béatrice Grasland, J. P. Jolly, F. Eono and Claire Chauvin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Vaccine and Journal of Applied Microbiology.

In The Last Decade

C. Fablet

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Fablet France 20 696 502 459 308 254 55 1.3k
Susanna Williamson United Kingdom 24 317 0.5× 376 0.7× 406 0.9× 279 0.9× 157 0.6× 69 1.3k
A. van Nes Netherlands 21 409 0.6× 215 0.4× 859 1.9× 281 0.9× 165 0.6× 48 1.5k
Hsiang‐Jung Tsai Taiwan 19 580 0.8× 206 0.4× 588 1.3× 180 0.6× 290 1.1× 61 1.3k
F. Madec France 27 1.3k 1.9× 510 1.0× 932 2.0× 517 1.7× 407 1.6× 82 2.1k
Vivi Bille‐Hansen Denmark 23 687 1.0× 304 0.6× 745 1.6× 137 0.4× 376 1.5× 53 1.6k
Jean‐Pierre Vaillancourt Canada 21 477 0.7× 187 0.4× 401 0.9× 408 1.3× 136 0.5× 59 1.2k
D.P. Mackie United Kingdom 25 731 1.1× 326 0.6× 962 2.1× 297 1.0× 568 2.2× 68 1.9k
Ken Katsuda Japan 19 295 0.4× 265 0.5× 588 1.3× 264 0.9× 107 0.4× 51 1.0k
Grazia Greco Italy 24 569 0.8× 195 0.4× 1.2k 2.6× 202 0.7× 348 1.4× 86 2.0k
Sanjie Cao China 21 468 0.7× 367 0.7× 612 1.3× 180 0.6× 293 1.2× 125 1.5k

Countries citing papers authored by C. Fablet

Since Specialization
Citations

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

Fields of papers citing papers by C. Fablet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Fablet

This figure shows the co-authorship network connecting the top 25 collaborators of C. Fablet. A scholar is included among the top collaborators of C. Fablet 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 C. Fablet. C. Fablet 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.
Répérant, Jean-Michel, V. Dorenlor, F. Eono, et al.. (2024). Bayesian estimation of the sensitivity and specificity of coprological and serological diagnostic tests for the detection of Ascaris suum infection on pig farms. International Journal for Parasitology. 54(10). 523–533. 1 indexed citations
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Larcher, Thibaut, C. Fablet, Patricia Renson, et al.. (2019). Assessment of pulmonary tissue responses in pigs challenged with PRRSV Lena strain shows better protection after immunization with field than vaccine strains. Veterinary Microbiology. 230. 249–259. 2 indexed citations
5.
Chastagner, Amélie, C. Fablet, Stéphane Quéguiner, et al.. (2019). Virus persistence in pig herds led to successive reassortment events between swine and human influenza A viruses, resulting in the emergence of a novel triple-reassortant swine influenza virus. Veterinary Research. 50(1). 77–77. 19 indexed citations
6.
Houdayer, Catherine, Valérie Rose, Frédéric Paboeuf, et al.. (2018). Colonization of Pigs Experimentally Infected with a Monophasic Variant of Salmonella Typhimurium. Foodborne Pathogens and Disease. 15(9). 576–582. 6 indexed citations
7.
Andraud, Mathieu, C. Fablet, Patricia Renson, et al.. (2018). Estimating Parameters Related to the Lifespan of Passively Transferred and Vaccine-Induced Porcine Reproductive and Respiratory Syndrome Virus Type I Antibodies by Modeling Field Data. Frontiers in Veterinary Science. 5. 9–9. 7 indexed citations
8.
Fablet, C., et al.. (2018). Factors associated with the growing-finishing performances of swine herds: an exploratory study on serological and herd level indicators. Porcine Health Management. 4(1). 6–6. 13 indexed citations
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Fablet, C., et al.. (2017). Estimation of the diagnostic performance of two ELISAs to detect PCV2 antibodies in pig sera using a Bayesian method. Journal of Virological Methods. 249. 121–125. 6 indexed citations
11.
Djokić, Vitomir, C. Fablet, Radu Blaga, et al.. (2016). Factors associated with Toxoplasma gondii infection in confined farrow-to-finish pig herds in western France: an exploratory study in 60 herds. Parasites & Vectors. 9(1). 466–466. 30 indexed citations
12.
Fablet, C., Corinne Marois‐Créhan, Béatrice Grasland, Gaëlle Simon, & Nicolas Rose. (2016). Factors associated with herd-level PRRSV infection and age-time to seroconversion in farrow-to-finish herds. Veterinary Microbiology. 192. 10–20. 26 indexed citations
13.
Fablet, C., Patricia Renson, F. Eono, et al.. (2016). Maternally-derived antibodies (MDAs) impair piglets’ humoral and cellular immune responses to vaccination against porcine reproductive and respiratory syndrome (PRRS). Veterinary Microbiology. 192. 175–180. 27 indexed citations
14.
Fablet, C., Gaëlle Simon, V. Dorenlor, et al.. (2013). Different herd level factors associated with H1N1 or H1N2 influenza virus infections in fattening pigs. Preventive Veterinary Medicine. 112(3-4). 257–265. 18 indexed citations
15.
Fablet, C., V. Dorenlor, F. Eono, et al.. (2012). Bacterial pathogens associated with lung lesions in slaughter pigs from 125 herds. Research in Veterinary Science. 93(2). 627–630. 58 indexed citations
16.
Fablet, C., Gaëlle Simon, Nicolas Rose, et al.. (2010). Longitudinal study of respiratory infection patterns of breeding sows in five farrow-to-finish herds. Veterinary Microbiology. 147(3-4). 329–339. 37 indexed citations
17.
Fablet, C., et al.. (2009). Acute phase proteins in pigs: relevance in animal and veterinary public health.. Revue Méd Vét. 160(1). 28–43. 1 indexed citations
18.
Fablet, C., et al.. (2009). Molecular diversity of porcine and human isolates ofPasteurella multocida. Journal of Applied Microbiology. 107(6). 1830–1836. 9 indexed citations
19.
Fablet, C., et al.. (2009). Estimation of the sensitivity of four sampling methods for Mycoplasma hyopneumoniae detection in live pigs using a Bayesian approach. Veterinary Microbiology. 143(2-4). 238–245. 72 indexed citations
20.
Beloeil, P., Philippe Fravalo, C. Fablet, et al.. (2004). Risk factors for Salmonella enterica subsp. enterica shedding by market-age pigs in French farrow-to-finish herds. Preventive Veterinary Medicine. 63(1-2). 103–120. 106 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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