Léa Roch

414 total citations
9 papers, 258 citations indexed

About

Léa Roch is a scholar working on Molecular Biology, Plant Science and Animal Science and Zoology. According to data from OpenAlex, Léa Roch has authored 9 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 1 paper in Animal Science and Zoology. Recurrent topics in Léa Roch's work include Metabolomics and Mass Spectrometry Studies (4 papers), Plant Physiology and Cultivation Studies (4 papers) and Postharvest Quality and Shelf Life Management (3 papers). Léa Roch is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Plant Physiology and Cultivation Studies (4 papers) and Postharvest Quality and Shelf Life Management (3 papers). Léa Roch collaborates with scholars based in France, Germany and China. Léa Roch's co-authors include Annick Moing, Catherine Deborde, Daniel Jacob, Patrick Giraudeau, Dominique Rolin, Yves Gibon, Zhanwu Dai, Michel Génard, Sophie Colombié and Gilles Vercambre and has published in prestigious journals such as Journal of Experimental Botany, Molecules and Frontiers in Plant Science.

In The Last Decade

Léa Roch

9 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Léa Roch France	6	141	127	28	26	20	9	258
Nina V. Terletskaya Kazakhstan	11	174 1.2×	86 0.7×	42 1.5×	14 0.5×	19 0.9×	36	271
Eugénia Nunes Portugal	10	150 1.1×	134 1.1×	54 1.9×	27 1.0×	13 0.7×	21	308
Yaolei Mi China	10	120 0.9×	159 1.3×	28 1.0×	20 0.8×	10 0.5×	24	253
A. V. Zhukov Russia	11	127 0.9×	154 1.2×	35 1.3×	18 0.7×	37 1.9×	29	306
Henriëtte D. L. M. van Eekelen Netherlands	7	107 0.8×	183 1.4×	14 0.5×	25 1.0×	43 2.1×	9	305
Dominique D. Rolin France	8	236 1.7×	293 2.3×	25 0.9×	25 1.0×	36 1.8×	9	423
Barbara Swarcewicz Poland	7	427 3.0×	200 1.6×	25 0.9×	17 0.7×	10 0.5×	7	517
Federico Martínez-Seidel Germany	10	165 1.2×	234 1.8×	17 0.6×	13 0.5×	24 1.2×	22	322
Sonia J. Miller United Kingdom	4	237 1.7×	157 1.2×	14 0.5×	8 0.3×	22 1.1×	5	343

Countries citing papers authored by Léa Roch

Since Specialization

Citations

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

Fields of papers citing papers by Léa Roch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léa Roch

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

All Works

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9 of 9 papers shown

Roch, Léa, et al.. (2024). Metabolite quantification data based on 1H-NMR profiling of eggplant or pepper fruit during its development. BMC Research Notes. 17(1). 337–337. 1 indexed citations

Moing, Annick, Léa Roch, Stéphane Bernillon, et al.. (2023). Multi-omics quantitative data of tomato fruit unveils regulation modes of least variable metabolites. BMC Plant Biology. 23(1). 365–365. 2 indexed citations

Mavel, Sylvie, Hélène Blasco, Antoine Lefèvre, et al.. (2021). Optimization of Sample Preparation for Metabolomics Exploration of Urine, Feces, Blood and Saliva in Humans Using Combined NMR and UHPLC-HRMS Platforms. Molecules. 26(14). 4111–4111. 43 indexed citations

Roch, Léa, Sylvie Mavel, Antoine Lefèvre, et al.. (2021). Analytical Methodology for a Metabolome Atlas of Goat’s Plasma, Milk and Feces Using 1H-NMR and UHPLC-HRMS. Metabolites. 11(10). 681–681. 3 indexed citations

Vercambre, Gilles, Valentina Baldazzi, Léa Roch, et al.. (2020). Model-assisted comparison of sugar accumulation patterns in ten fleshy fruits highlights differences between herbaceous and woody species. Annals of Botany. 126(3). 455–470. 14 indexed citations

Roch, Léa, Sylvain Prigent, Holger Klose, et al.. (2020). Biomass composition explains fruit relative growth rate and discriminates climacteric from non-climacteric species. Journal of Experimental Botany. 71(19). 5823–5836. 29 indexed citations

Roch, Léa, Zhanwu Dai, Éric Gomès, et al.. (2019). Fruit Salad in the Lab: Comparing Botanical Species to Help Deciphering Fruit Primary Metabolism. Frontiers in Plant Science. 10. 836–836. 14 indexed citations

Beauvoit, Bertrand, Nadia Bertin, Sophie Colombié, et al.. (2018). Putting primary metabolism into perspective to obtain better fruits. Annals of Botany. 122(1). 1–21. 68 indexed citations

Deborde, Catherine, Annick Moing, Léa Roch, et al.. (2017). Plant metabolism as studied by NMR spectroscopy. Progress in Nuclear Magnetic Resonance Spectroscopy. 102-103. 61–97. 84 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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