Chloé Roullier‐Gall

1.7k total citations
44 papers, 1.3k citations indexed

About

Chloé Roullier‐Gall is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Chloé Roullier‐Gall has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Food Science, 22 papers in Plant Science and 13 papers in Molecular Biology. Recurrent topics in Chloé Roullier‐Gall's work include Fermentation and Sensory Analysis (34 papers), Horticultural and Viticultural Research (20 papers) and Tea Polyphenols and Effects (9 papers). Chloé Roullier‐Gall is often cited by papers focused on Fermentation and Sensory Analysis (34 papers), Horticultural and Viticultural Research (20 papers) and Tea Polyphenols and Effects (9 papers). Chloé Roullier‐Gall collaborates with scholars based in France, Germany and Spain. Chloé Roullier‐Gall's co-authors include Philippe Schmitt‐Kopplin, Régis D. Gougeon, Hervé Alexandre, Daniel Hemmler, James W. Marshall, Michael Rychlik, Andrew J. Taylor, Géraldine Klein, Christian Coelho and Marianna Lucio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Chloé Roullier‐Gall

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chloé Roullier‐Gall France 22 905 606 374 209 154 44 1.3k
Daniela Fracassetti Italy 22 982 1.1× 713 1.2× 319 0.9× 606 2.9× 94 0.6× 64 1.7k
N. Moreira Portugal 18 671 0.7× 424 0.7× 261 0.7× 181 0.9× 103 0.7× 26 1.1k
Gavin L. Sacks United States 25 1.6k 1.8× 1.3k 2.1× 427 1.1× 506 2.4× 286 1.9× 87 2.2k
W.J. du Toit South Africa 24 1.4k 1.6× 978 1.6× 321 0.9× 507 2.4× 174 1.1× 56 1.7k
Alain Maujean France 20 1.8k 2.0× 1.2k 2.0× 344 0.9× 662 3.2× 164 1.1× 43 2.2k
Ángeles Fernández‐Recamales Spain 22 659 0.7× 560 0.9× 453 1.2× 517 2.5× 24 0.2× 58 1.9k
Ignacio García‐Estévez Spain 26 1.0k 1.1× 784 1.3× 303 0.8× 683 3.3× 24 0.2× 71 1.6k
Katsumi Hashizume Japan 26 1.5k 1.6× 1.6k 2.6× 897 2.4× 462 2.2× 227 1.5× 72 2.4k
Maria Tufariello Italy 28 1.5k 1.7× 907 1.5× 308 0.8× 452 2.2× 212 1.4× 58 1.8k

Countries citing papers authored by Chloé Roullier‐Gall

Since Specialization
Citations

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

Fields of papers citing papers by Chloé Roullier‐Gall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chloé Roullier‐Gall. 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 Chloé Roullier‐Gall. The network helps show where Chloé Roullier‐Gall may publish in the future.

Co-authorship network of co-authors of Chloé Roullier‐Gall

This figure shows the co-authorship network connecting the top 25 collaborators of Chloé Roullier‐Gall. A scholar is included among the top collaborators of Chloé Roullier‐Gall 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 Chloé Roullier‐Gall. Chloé Roullier‐Gall 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.
Hertzog, Jasmine, Mary J. Thomas, Chloé Roullier‐Gall, et al.. (2025). Continuum of non-targeted data for long term study of complex samples generated by direct infusion ultra-high resolution mass spectrometry. Talanta. 286. 127514–127514. 1 indexed citations
2.
Ferreira, Vicente, et al.. (2024). Impact of Saccharomyces cerevisiae yeast inoculation mode on wine composition. Food Chemistry. 441. 138391–138391. 7 indexed citations
3.
4.
Trouvelot, Sophie, Christelle Lemaître‐Guillier, Julie Vallet, et al.. (2023). Sodium arsenite-induced changes in the wood of esca-diseased grapevine at cytological and metabolomic levels. Frontiers in Plant Science. 14. 1141700–1141700. 1 indexed citations
5.
6.
Morge, Christophe, et al.. (2023). To each their own: Delving into the vitaminic preferences of non-Saccharomyces wine yeasts. Food Microbiology. 115. 104332–104332. 4 indexed citations
7.
Morge, Christophe, et al.. (2023). To be or not to be required: Yeast vitaminic requirements in winemaking. Food Microbiology. 115. 104330–104330. 8 indexed citations
8.
Grandvalet, Cosette, et al.. (2022). eGFP Gene Integration in HO: A Metabolomic Impact?. Microorganisms. 10(4). 781–781. 2 indexed citations
9.
Klein, Géraldine, et al.. (2022). Multiparametric Approach to Interactions between Saccharomyces cerevisiae and Lachancea thermotolerans during Fermentation. Fermentation. 8(6). 286–286. 5 indexed citations
10.
Alexandre, Hervé, et al.. (2022). Exploring the unexplored: A characterization of vitamins and vitamers in white grape musts by high-performance liquid chromatography. Food Chemistry. 398. 133860–133860. 13 indexed citations
11.
Klein, Géraldine, et al.. (2020). Yeast–Yeast Interactions: Mechanisms, Methodologies and Impact on Composition. Microorganisms. 8(4). 600–600. 63 indexed citations
12.
Roullier‐Gall, Chloé, Vanessa David, Daniel Hemmler, Philippe Schmitt‐Kopplin, & Hervé Alexandre. (2020). Exploring yeast interactions through metabolic profiling. Scientific Reports. 10(1). 6073–6073. 47 indexed citations
13.
Karbowiak, Thomas, Kevin Crouvisier-Urion, Aurélie Lagorce-Tachon, et al.. (2019). Wine aging: a bottleneck story. npj Science of Food. 3(1). 14–14. 26 indexed citations
14.
Klein, Géraldine, Chloé Roullier‐Gall, Philippe Schmitt‐Kopplin, et al.. (2019). Influence of cell-cell contact between L. thermotolerans and S. cerevisiae on yeast interactions and the exo-metabolome. Food Microbiology. 83. 122–133. 64 indexed citations
15.
Adrian, Marielle, Marianna Lucio, Chloé Roullier‐Gall, et al.. (2017). Metabolic Fingerprint of PS3-Induced Resistance of Grapevine Leaves against Plasmopara viticola Revealed Differences in Elicitor-Triggered Defenses. Frontiers in Plant Science. 8. 101–101. 22 indexed citations
16.
Hemmler, Daniel, Chloé Roullier‐Gall, James W. Marshall, et al.. (2017). Evolution of Complex Maillard Chemical Reactions, Resolved in Time. Scientific Reports. 7(1). 3227–3227. 73 indexed citations
17.
Roullier‐Gall, Chloé, Silke S. Heinzmann, Jean‐Pierre Garcia, Philippe Schmitt‐Kopplin, & Régis D. Gougeon. (2017). Chemical messages from an ancient buried bottle: metabolomics for wine archeochemistry. npj Science of Food. 1(1). 1–1. 13 indexed citations
18.
Roullier‐Gall, Chloé, Michael Witting, Franco Moritz, et al.. (2016). Natural oxygenation of Champagne wine during ageing on lees: A metabolomics picture of hormesis. Food Chemistry. 203. 207–215. 26 indexed citations
19.
Roullier‐Gall, Chloé, et al.. (2014). How Subtle Is the “Terroir” Effect? Chemistry-Related Signatures of Two “Climats de Bourgogne”. PLoS ONE. 9(5). e97615–e97615. 58 indexed citations
20.
Roullier‐Gall, Chloé, et al.. (2013). A grape and wine chemodiversity comparison of different appellations in Burgundy: Vintage vs terroir effects. Food Chemistry. 152. 100–107. 108 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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