Bénédicte Quilot‐Turion

1.8k total citations
38 papers, 867 citations indexed

About

Bénédicte Quilot‐Turion is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Cell Biology. According to data from OpenAlex, Bénédicte Quilot‐Turion has authored 38 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 10 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Cell Biology. Recurrent topics in Bénédicte Quilot‐Turion's work include Plant Physiology and Cultivation Studies (17 papers), Horticultural and Viticultural Research (13 papers) and Fungal Plant Pathogen Control (9 papers). Bénédicte Quilot‐Turion is often cited by papers focused on Plant Physiology and Cultivation Studies (17 papers), Horticultural and Viticultural Research (13 papers) and Fungal Plant Pathogen Control (9 papers). Bénédicte Quilot‐Turion collaborates with scholars based in France, Italy and Morocco. Bénédicte Quilot‐Turion's co-authors include Michel Génard, Valentina Baldazzi, P. Lambert, D. Bassi, Outi Savolainen, Pere Arús, Michel M. Génard, Igor Pacheco, Michaël Dingkuhn and Delphine Luquet and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Bénédicte Quilot‐Turion

36 papers receiving 834 citations

Peers

Bénédicte Quilot‐Turion

EEBS

GENET

Martijn van Kaauwen Netherlands

Faruk Bogunić Bosnia and Herzegovina

José X. Chaparro United States

Kelly Vining United States

Iris E. Peralta Argentina

J. Kervella France

Philip L. Forsline United States

H. Huang China

Timothy A. Rinehart United States

G. Werlemark Sweden

Martijn van Kaauwen Netherlands

Bénédicte Quilot‐Turion

703 ×1.0

326 ×1.2

160 ×0.9

EEBS

84 ×0.7

GENET

182 ×1.7

Citations per year, relative to Bénédicte Quilot‐Turion Bénédicte Quilot‐Turion (= 1×) peers Martijn van Kaauwen

Countries citing papers authored by Bénédicte Quilot‐Turion

Since Specialization

Citations

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

Fields of papers citing papers by Bénédicte Quilot‐Turion

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bénédicte Quilot‐Turion. 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 Bénédicte Quilot‐Turion. The network helps show where Bénédicte Quilot‐Turion may publish in the future.

Co-authorship network of co-authors of Bénédicte Quilot‐Turion

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

All Works

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20 of 20 papers shown

Ribeyre, Fabienne, et al.. (2024). Dare to be resilient: the key to future pesticide-free orchards?. Journal of Experimental Botany. 75(13). 3835–3848.

Hardner, Craig, Elisabeth Dirlewanger, Bénédicte Wenden, et al.. (2023). Genotype-by-environment and QTL-by-environment interactions in sweet cherry (Prunus avium L.) for flowering date. Frontiers in Plant Science. 14. 1142974–1142974. 13 indexed citations

Raseira, Maria do Carmo Bassols, et al.. (2023). Influence of Fruit Wounding on Subsequent Monilinia laxa Infection of Nectarines. Agronomy. 13(5). 1235–1235. 2 indexed citations

Quilot‐Turion, Bénédicte, et al.. (2023). Almond population genomics and non-additive GWAS reveal new insights into almond dissemination history and candidate genes for nut traits and blooming time. Horticulture Research. 10(10). uhad193–uhad193. 10 indexed citations

Bassi, D., et al.. (2023). Stone fruit phenolic and triterpenoid compounds modulate gene expression of Monilinia spp. in culture media. Fungal Biology. 127(7-8). 1085–1097. 5 indexed citations

Quilot‐Turion, Bénédicte, et al.. (2022). Genetic variability in the susceptibility of immature peach fruit to Monilinia laxa is associated with surface conductance but not stomatal density. HAL (Le Centre pour la Communication Scientifique Directe). 6(3). 91–100. 3 indexed citations

Lambert, P., et al.. (2022). Insertion of a mMoshan transposable element in PpLMI1, is associated with the absence or globose phenotype of extrafloral nectaries in peach [Prunus persica (L.) Batsch. Horticulture Research. 9. 1 indexed citations

Quilot‐Turion, Bénédicte, et al.. (2020). Reducing a model of sugar metabolism in peach to catch different patterns among genotypes. Mathematical Biosciences. 321. 108321–108321.

Génard, Michel, et al.. (2019). Model-based QTL detection is sensitive to slight modifications in model formulation. PLoS ONE. 14(10). e0222764–e0222764. 3 indexed citations

10.

Biscarini, Filippo, Nelson Nazzicari, M.C.A.M. Bink, et al.. (2017). Genome-enabled predictions for fruit weight and quality from repeated records in European peach progenies. BMC Genomics. 18(1). 432–432. 59 indexed citations

11.

Baldazzi, Valentina, et al.. (2016). Dynamic QTLs for sugars and enzyme activities provide an overview of genetic control of sugar metabolism during peach fruit development. Journal of Experimental Botany. 67(11). 3419–3431. 47 indexed citations

12.

Génard, Michel, et al.. (2016). Physical host factors for brown rot resistance in peach fruit. Acta Horticulturae. 105–112. 9 indexed citations

13.

Quilot‐Turion, Bénédicte, et al.. (2016). Optimization of Allelic Combinations Controlling Parameters of a Peach Quality Model. Frontiers in Plant Science. 7. 1873–1873. 10 indexed citations

14.

Quilot‐Turion, Bénédicte, et al.. (2014). The Relationship between Metaheuristics Stopping Criteria and Performances. International Journal of Applied Metaheuristic Computing. 5(3). 44–70. 3 indexed citations

15.

Quilot‐Turion, Bénédicte, Johanna Leppälä, Päivi H. Leinonen, et al.. (2013). Genetic changes in flowering and morphology in response to adaptation to a high-latitude environment in Arabidopsis lyrata. Annals of Botany. 111(5). 957–968. 23 indexed citations

16.

Dirlewanger, Elisabeth, José Quero‐García, Loı̈ck Le Dantec, et al.. (2012). Comparison of the genetic determinism of two key phenological traits, flowering and maturity dates, in three Prunus species: peach, apricot and sweet cherry. Heredity. 109(5). 280–292. 120 indexed citations

17.

Génard, Michel, Nadia Bertin, Hélène Gautier, Françoise Lescourret, & Bénédicte Quilot‐Turion. (2010). Virtual profiling: a new way to analyse phenotypes. The Plant Journal. 62(2). 344–355. 26 indexed citations

18.

Leinonen, Päivi H., Bénédicte Quilot‐Turion, Maria J. Clauss, et al.. (2009). Local adaptation in European populations of Arabidopsis lyrata (Brassicaceae). American Journal of Botany. 96(6). 1129–1137. 62 indexed citations

19.

Quilot‐Turion, Bénédicte & Michel Génard. (2009). TOWARDS THE USE OF MODELLING IN GENETIC IMPROVEMENT: EXAMPLE OF PEACH FRUIT QUALITY. Acta Horticulturae. 269–276. 1 indexed citations

20.

Quilot‐Turion, Bénédicte & Michel M. Génard. (2007). Is competition between mesocarp cells of peach fruits affected by the percentage of wild species genome?. Journal of Plant Research. 121(1). 55–63. 19 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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