Caroline Laprie

980 total citations
19 papers, 688 citations indexed

About

Caroline Laprie is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Caroline Laprie has authored 19 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Caroline Laprie's work include SARS-CoV-2 and COVID-19 Research (5 papers), Immune Cell Function and Interaction (3 papers) and Mycobacterium research and diagnosis (3 papers). Caroline Laprie is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Immune Cell Function and Interaction (3 papers) and Mycobacterium research and diagnosis (3 papers). Caroline Laprie collaborates with scholars based in France, Australia and South Africa. Caroline Laprie's co-authors include Lionel Chasson, Sophie Ugolini, Linda Quatrini, Élisabeth Wieduwild, Rafaëlle Rossignol, Jessica Filtjens, Éric Vivier, Bertrand Escalière, Jordi Gouilly and Aziz Moqrich and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Caroline Laprie

18 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Laprie France 12 192 155 142 111 111 19 688
Angela K. Brice United States 19 196 1.0× 125 0.8× 146 1.0× 69 0.6× 225 2.0× 31 868
Hwa Young Youn South Korea 15 100 0.5× 77 0.5× 150 1.1× 36 0.3× 167 1.5× 31 700
Ingrid D. Pardo United States 14 212 1.1× 109 0.7× 23 0.2× 275 2.5× 152 1.4× 45 783
Joanne L. Pennock United Kingdom 19 316 1.6× 75 0.5× 59 0.4× 26 0.2× 146 1.3× 29 947
Tanya Burkholder United States 14 110 0.6× 42 0.3× 50 0.4× 84 0.8× 236 2.1× 19 603
H J Hedrich Germany 10 237 1.2× 45 0.3× 132 0.9× 43 0.4× 84 0.8× 15 568
Laura Adalid‐Peralta Mexico 18 214 1.1× 60 0.4× 81 0.6× 19 0.2× 126 1.1× 43 806
Masaaki Odaka Japan 25 198 1.0× 74 0.5× 197 1.4× 23 0.2× 194 1.7× 62 2.8k
Berit Rosche Germany 14 275 1.4× 75 0.5× 84 0.6× 34 0.3× 141 1.3× 23 890
Mariah Leidinger United States 13 116 0.6× 89 0.6× 329 2.3× 17 0.2× 264 2.4× 23 994

Countries citing papers authored by Caroline Laprie

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Laprie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Laprie

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

All Works

19 of 19 papers shown
1.
Cochin, Maxime, Jean‐Sélim Driouich, Caroline Laprie, et al.. (2024). Preclinical evaluation in hamster model of the mRNA COVID-19 vaccine candidate AfriVac 2121 (Wuhan) produced under the WHO/MPP mRNA Technology Transfer Programme. Vaccine. 42(26). 126378–126378.
2.
Touret, Franck, Jean‐Sélim Driouich, Maxime Cochin, et al.. (2024). Further preclinical characterization of molnupiravir against SARS-CoV-2: Antiviral activity determinants and viral genome alteration patterns. Heliyon. 10(10). e30862–e30862. 2 indexed citations
3.
Cochin, Maxime, Léa Lucıanı, Franck Touret, et al.. (2022). The SARS-CoV-2 Alpha variant exhibits comparable fitness to the D614G strain in a Syrian hamster model. Communications Biology. 5(1). 225–225. 9 indexed citations
4.
Hoeffel, Guillaume, A. Roger, Rafaëlle Rossignol, et al.. (2021). Sensory neuron-derived TAFA4 promotes macrophage tissue repair functions. Nature. 594(7861). 94–99. 132 indexed citations
5.
Driouich, Jean‐Sélim, Maxime Cochin, Guillaume Lingas, et al.. (2021). Favipiravir antiviral efficacy against SARS-CoV-2 in a hamster model. Nature Communications. 12(1). 1735–1735. 99 indexed citations
6.
Cochin, Maxime, Franck Touret, Jean‐Sélim Driouich, et al.. (2021). Hydroxychloroquine and azithromycin used alone or combined are not effective against SARS-CoV-2 ex vivo and in a hamster model. Antiviral Research. 197. 105212–105212. 9 indexed citations
7.
Wieduwild, Élisabeth, Mathilde Girard-Madoux, Linda Quatrini, et al.. (2020). β2-adrenergic signals downregulate the innate immune response and reduce host resistance to viral infection. The Journal of Experimental Medicine. 217(4). 57 indexed citations
8.
Cassol-Brunner, F., Sylvie Richelme, Yannick Boursier, et al.. (2019). Tracking Dynamics of Spontaneous Tumors in Mice Using Photon-Counting Computed Tomography. iScience. 21. 68–83. 11 indexed citations
9.
Wang, Yawen, Laetitia Marcadet, Lionel Chasson, et al.. (2019). Lupus Autoimmunity and Metabolic Parameters Are Exacerbated Upon High Fat Diet-Induced Obesity Due to TLR7 Signaling. Frontiers in Immunology. 10. 2015–2015. 37 indexed citations
10.
Millet, Virginie, Thomas Gensollen, Thien‐Phong Vu Manh, et al.. (2018). Vnn1 pantetheinase limits the Warburg effect and sarcoma growth by rescuing mitochondrial activity. Life Science Alliance. 1(4). e201800073–e201800073. 24 indexed citations
11.
Quatrini, Linda, Élisabeth Wieduwild, Bertrand Escalière, et al.. (2018). Endogenous glucocorticoids control host resistance to viral infection through the tissue-specific regulation of PD-1 expression on NK cells. Nature Immunology. 19(9). 954–962. 119 indexed citations
12.
Brisou, Gabriel, Laurine Gil, Giulia Pagano, et al.. (2018). Desynchronization of the Germinal Center Dynamics and Remodeling of the Tumor Microenvironment Characterize KMT2D-Driven Lymphomagenesis. Blood. 132(Supplement 1). 670–670. 4 indexed citations
13.
Chasson, Lionel, Caroline Laprie, Lionel Spinelli, et al.. (2017). Guanabenz Prevents d-Galactosamine/Lipopolysaccharide-Induced Liver Damage and Mortality. Frontiers in Immunology. 8. 679–679. 17 indexed citations
14.
Laprie, Caroline, et al.. (2015). In Vivo MRI Assessment of Hepatic and Splenic Disease in a Murine Model of Schistosmiasis. PLoS neglected tropical diseases. 9(9). e0004036–e0004036. 9 indexed citations
15.
Malík, Richard, et al.. (2013). Ulcerated and nonulcerated nontuberculous cutaneous mycobacterial granulomas in cats and dogs. Veterinary Dermatology. 24(1). 146–146. 43 indexed citations
17.
Laprie, Caroline, et al.. (2005). Pythiosis in Africa. Emerging infectious diseases. 11(3). 479–481. 46 indexed citations
18.
Laprie, Caroline, et al.. (2001). MIB‐1 immunoreactivity correlates with biologic behaviour in canine cutaneous melanoma. Veterinary Dermatology. 12(3). 139–147. 41 indexed citations
19.
Laprie, Caroline, et al.. (1998). Detection of the Ki‐67 Proliferation Associated Nuclear Epitope in Normal Canine Tissues Using the Monoclonal Antibody MIB‐1. Anatomia Histologia Embryologia. 27(4). 251–256. 13 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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