Carole Caranta

5.5k total citations
52 papers, 4.0k citations indexed

About

Carole Caranta is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Carole Caranta has authored 52 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Plant Science, 17 papers in Molecular Biology and 6 papers in Endocrinology. Recurrent topics in Carole Caranta's work include Plant Virus Research Studies (46 papers), Plant Pathogenic Bacteria Studies (17 papers) and Plant Disease Resistance and Genetics (17 papers). Carole Caranta is often cited by papers focused on Plant Virus Research Studies (46 papers), Plant Pathogenic Bacteria Studies (17 papers) and Plant Disease Resistance and Genetics (17 papers). Carole Caranta collaborates with scholars based in France, Morocco and United States. Carole Caranta's co-authors include Alain Palloix, Christophe Robaglia, Véronique Lefèbvre, Benoît Moury, Jean‐Luc Gallois, Sandrine Ruffel, Maryse Nicolaı̈, A. Moretti, Abdelhafid Bendahmane and A. Thabuis and has published in prestigious journals such as The EMBO Journal, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Carole Caranta

50 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carole Caranta France 34 3.8k 1.5k 640 395 295 52 4.0k
Amit Gal‐On Israel 37 3.6k 0.9× 1.6k 1.1× 789 1.2× 744 1.9× 197 0.7× 84 4.0k
Alain Palloix France 49 5.2k 1.4× 1.0k 0.7× 593 0.9× 416 1.1× 704 2.4× 113 5.4k
Kai‐Shu Ling United States 28 2.3k 0.6× 545 0.4× 599 0.9× 728 1.8× 232 0.8× 111 2.6k
Shyi‐Dong Yeh Taiwan 32 2.9k 0.8× 1.4k 0.9× 758 1.2× 525 1.3× 86 0.3× 128 3.1k
Sylvie German‐Retana France 27 2.2k 0.6× 926 0.6× 575 0.9× 323 0.8× 102 0.3× 48 2.4k
Ida Elisabeth Johansen Denmark 30 2.5k 0.7× 1.1k 0.7× 576 0.9× 242 0.6× 96 0.3× 55 2.8k
Eduardo R. Bejarano Spain 34 3.0k 0.8× 1.2k 0.8× 547 0.9× 822 2.1× 61 0.2× 87 3.4k
K. Kanyuka United Kingdom 37 3.9k 1.0× 1.2k 0.8× 444 0.7× 232 0.6× 175 0.6× 83 4.2k
S.P. Dinesh-Kumar United States 20 2.8k 0.7× 1.1k 0.7× 295 0.5× 279 0.7× 74 0.3× 29 3.2k
Chikara Masuta Japan 36 4.4k 1.1× 1.4k 1.0× 1.1k 1.7× 558 1.4× 58 0.2× 155 4.7k

Countries citing papers authored by Carole Caranta

Since Specialization
Citations

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

Fields of papers citing papers by Carole Caranta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carole Caranta

This figure shows the co-authorship network connecting the top 25 collaborators of Carole Caranta. A scholar is included among the top collaborators of Carole Caranta 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 Carole Caranta. Carole Caranta 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.
Nogué, Fabien, Mathilde Causse, Philippe Debaeke, et al.. (2024). Can genome editing help transitioning to agroecology?. iScience. 27(3). 109159–109159. 3 indexed citations
2.
Pagny, Gaëlle, et al.. (2015). Allelic variation at the rpv1 locus controls partial resistance to Plum pox virus infection in Arabidopsis thaliana. BMC Plant Biology. 15(1). 159–159. 30 indexed citations
3.
Estevan, Joan, Caroline Callot, Séverine Lacombe, et al.. (2014). Specific requirement for translation initiation factor 4E or its isoform drives plant host susceptibility to Tobacco etch virus. BMC Plant Biology. 14(1). 67–67. 24 indexed citations
4.
Caranta, Carole, et al.. (2013). Exploitation of natural genetic diversity to study plant–virus interactions: what can we learn from A rabidopsis thaliana ?. Molecular Plant Pathology. 14(8). 844–854. 16 indexed citations
5.
6.
Reinbold, Catherine, Séverine Lacombe, Véronique Ziegler‐Graff, et al.. (2012). Closely Related Poleroviruses Depend on Distinct Translation Initiation Factors to Infect Arabidopsis thaliana. Molecular Plant-Microbe Interactions. 26(2). 257–265. 32 indexed citations
7.
Schepetilnikov, Mikhail, Angèle Geldreich, Carole Caranta, et al.. (2011). Viral factor TAV recruits TOR/S6K1 signalling to activate reinitiation after long ORF translation. The EMBO Journal. 30(7). 1343–1356. 104 indexed citations
8.
9.
Arens, Paul, Carmen Mansilla, Laetitia Cavellini, et al.. (2009). Development and evaluation of robust molecular markers linked to disease resistance in tomato for distinctness, uniformity and stability testing. Theoretical and Applied Genetics. 120(3). 655–664. 74 indexed citations
10.
Charron, Carine, Maryse Nicolaı̈, Jean‐Luc Gallois, et al.. (2008). Natural variation and functional analyses provide evidence for co‐evolution between plant eIF4E and potyviral VPg. The Plant Journal. 54(1). 56–68. 178 indexed citations
11.
Maule, Andrew J., Carole Caranta, & Margaret I. Boulton. (2007). Sources of natural resistance to plant viruses: status and prospects. Molecular Plant Pathology. 8(2). 223–231. 142 indexed citations
12.
Ayme, Valérie, Sylvie Souche, Carole Caranta, et al.. (2006). Different Mutations in the Genome-Linked Protein VPg of Potato virus Y Confer Virulence on the pvr23 Resistance in Pepper. Molecular Plant-Microbe Interactions. 19(5). 557–563. 103 indexed citations
13.
Caranta, Carole, et al.. (2006). Identification of QTLs for Ralstonia solanacearum race 3-phylotype II resistance in tomato. Theoretical and Applied Genetics. 113(1). 110–121. 88 indexed citations
14.
Moury, Benoît, Caroline Morel, Ida Elisabeth Johansen, et al.. (2004). Mutations in Potato virus Y Genome-Linked Protein Determine Virulence Toward Recessive Resistances in Capsicum annuum and Lycopersicon hirsutum. Molecular Plant-Microbe Interactions. 17(3). 322–329. 165 indexed citations
15.
16.
Ruffel, Sandrine, Alain Palloix, Benoît Moury, et al.. (2002). A natural recessive resistance gene against potato virus Y in pepper corresponds to the eukaryotic initiation factor 4E (eIF4E). The Plant Journal. 32(6). 1067–1075. 271 indexed citations
17.
Causse, Mathilde, et al.. (2000). Enhancement of tomato genetic resources via molecular markers. Cahiers Agricultures. 9(3). 197–210. 2 indexed citations
18.
Morel, Caroline, et al.. (2000). Biological and molecular characterization of two tomato strains of potato virus Y (PVY). Acta Physiologiae Plantarum. 22(3). 336–343. 11 indexed citations
19.
Caranta, Carole, A. Thabuis, & Alain Palloix. (1999). Development of a CAPS marker for the Pvr4 locus : a tool for pyramiding potyvirus resistance genes in pepper. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
20.
Caranta, Carole & Alain Palloix. (1996). Both common and specific genetic factors are involved in polygenic resistance of pepper to several potyviruses. Theoretical and Applied Genetics. 92(1). 15–20. 43 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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