Jérôme Grimplet

5.4k total citations
61 papers, 3.7k citations indexed

About

Jérôme Grimplet is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Jérôme Grimplet has authored 61 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Plant Science, 45 papers in Molecular Biology and 21 papers in Food Science. Recurrent topics in Jérôme Grimplet's work include Horticultural and Viticultural Research (45 papers), Fermentation and Sensory Analysis (21 papers) and Plant Gene Expression Analysis (19 papers). Jérôme Grimplet is often cited by papers focused on Horticultural and Viticultural Research (45 papers), Fermentation and Sensory Analysis (21 papers) and Plant Gene Expression Analysis (19 papers). Jérôme Grimplet collaborates with scholars based in Spain, United States and France. Jérôme Grimplet's co-authors include Grant R. Cramer, John C. Cushman, Karen Schlauch, Laurent Deluc, Matthew D. Wheatley, José M. Martínez‐Zapater, David R. Quilici, Richard Tillett, Craig Osborne and Anne Fennell and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Jérôme Grimplet

59 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Grimplet Spain 29 3.4k 2.1k 1.5k 206 176 61 3.7k
Laurent Torregrosa France 31 2.8k 0.8× 2.2k 1.0× 1.1k 0.8× 251 1.2× 98 0.6× 81 3.4k
Sara Zenoni Italy 36 3.8k 1.1× 3.0k 1.5× 1.5k 1.0× 191 0.9× 75 0.4× 73 4.6k
Marianna Fasoli Italy 24 2.1k 0.6× 1.6k 0.7× 895 0.6× 171 0.8× 41 0.2× 37 2.5k
Claudio D’Onofrio Italy 24 1.4k 0.4× 771 0.4× 650 0.4× 130 0.6× 57 0.3× 88 1.7k
Patricio Arce‐Johnson Chile 29 2.9k 0.8× 2.2k 1.0× 738 0.5× 170 0.8× 29 0.2× 83 3.5k
Diego Lijavetzky Argentina 24 2.4k 0.7× 1.4k 0.7× 665 0.4× 106 0.5× 25 0.1× 40 2.8k
Steven T. Lund Canada 17 1.8k 0.5× 1.5k 0.7× 617 0.4× 170 0.8× 34 0.2× 19 2.4k
David Lecourieux France 21 2.2k 0.7× 1.2k 0.6× 361 0.2× 141 0.7× 58 0.3× 24 2.5k
Ali Ergül Türkiye 17 1.4k 0.4× 655 0.3× 454 0.3× 71 0.3× 75 0.4× 61 1.5k
Rossitza Atanassova France 23 2.5k 0.7× 1.4k 0.6× 355 0.2× 85 0.4× 110 0.6× 36 3.0k

Countries citing papers authored by Jérôme Grimplet

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Grimplet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Grimplet

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Grimplet. A scholar is included among the top collaborators of Jérôme Grimplet 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 Jérôme Grimplet. Jérôme Grimplet 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
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Grimplet, Jérôme, et al.. (2024). Genome editing in almond using hairy root transformation system. Plant Cell Tissue and Organ Culture (PCTOC). 159(3). 3 indexed citations
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Cabetas, María José Rubio, et al.. (2023). Characterization of Almond Scion/Rootstock Communication in Cultivar and Rootstock Tissues through an RNA-Seq Approach. Plants. 12(24). 4166–4166. 3 indexed citations
6.
Velt, Amandine, Daniela Holtgräwe, Éric Duchêne, et al.. (2023). An improved reference of the grapevine genome reasserts the origin of the PN40024 highly homozygous genotype. G3 Genes Genomes Genetics. 13(5). 32 indexed citations
7.
Hedhly, Afif, M.E. Guerra, Jérôme Grimplet, & Javier Rodrigo. (2023). S-Locus Genotyping in Japanese Plum by High Throughput Sequencing Using a Synthetic S-Loci Reference Sequence. International Journal of Molecular Sciences. 24(4). 3932–3932. 1 indexed citations
8.
Grimplet, Jérôme, et al.. (2023). Selection of Novel Reference Genes by RNA-Seq and Their Evaluation for Normalising Real-Time qPCR Expression Data of Anthocyanin-Related Genes in Lettuce and Wild Relatives. International Journal of Molecular Sciences. 24(3). 3052–3052. 5 indexed citations
9.
Torres‐Pérez, Rafael, Jérôme Grimplet, Elisa Baroja, et al.. (2021). Genetic variation and association analyses identify genes linked to fruit set-related traits in grapevine. Plant Science. 306. 110875–110875. 12 indexed citations
10.
Chen, Yi, Jérôme Grimplet, Karine David, et al.. (2018). Ethylene receptors and related proteins in climacteric and non-climacteric fruits. Plant Science. 276. 63–72. 113 indexed citations
11.
Carbonell‐Bejerano, Pablo, Carolina Royo, Rafael Torres‐Pérez, et al.. (2017). Catastrophic Unbalanced Genome Rearrangements Cause Somatic Loss of Berry Color in Grapevine. PLANT PHYSIOLOGY. 175(2). 786–801. 71 indexed citations
12.
Díaz-Riquelme, José, Vladimir Zhurov, Cristina Rioja, et al.. (2016). Comparative genome-wide transcriptome analysis of Vitis vinifera responses to adapted and non-adapted strains of two-spotted spider mite, Tetranyhus urticae. BMC Genomics. 17(1). 74–74. 33 indexed citations
13.
Grimplet, Jérôme, Patricia Agudelo‐Romero, Rita Teixeira, José M. Martínez‐Zapater, & Ana Margarida Fortes. (2016). Structural and Functional Analysis of the GRAS Gene Family in Grapevine Indicates a Role of GRAS Proteins in the Control of Development and Stress Responses. Frontiers in Plant Science. 7. 353–353. 100 indexed citations
14.
Fennell, Anne, Karen Schlauch, Satyanarayana Gouthu, et al.. (2015). Short day transcriptomic programming during induction of dormancy in grapevine. Frontiers in Plant Science. 6. 834–834. 47 indexed citations
15.
Rienth, Markus, Laurent Torregrosa, Mary T. Kelly, et al.. (2014). Is Transcriptomic Regulation of Berry Development More Important at Night than During the Day?. PLoS ONE. 9(2). e88844–e88844. 37 indexed citations
16.
Díaz-Riquelme, José, Jérôme Grimplet, José M. Martínez‐Zapater, & Maria José Carvalho Carmona. (2012). Transcriptome variation along bud development in grapevine (Vitis viniferaL.). BMC Plant Biology. 12(1). 181–181. 77 indexed citations
17.
Grimplet, Jérôme, Grant R. Cramer, Julie Dickerson, et al.. (2009). VitisNet: “Omics” Integration through Grapevine Molecular Networks. PLoS ONE. 4(12). e8365–e8365. 102 indexed citations
18.
Tattersall, Elizabeth A. R., Jérôme Grimplet, Laurent Deluc, et al.. (2007). Transcript abundance profiles reveal larger and more complex responses of grapevine to chilling compared to osmotic and salinity stress. Functional & Integrative Genomics. 7(4). 317–333. 111 indexed citations
19.
Fernandez, Lucie, Laurent Torregrosa, Nancy Terrier, et al.. (2006). Identification of genes associated with flesh morphogenesis during grapevine fruit development. Plant Molecular Biology. 63(3). 307–323. 70 indexed citations
20.

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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