Arnaud Verbaere

741 total citations
17 papers, 519 citations indexed

About

Arnaud Verbaere is a scholar working on Food Science, Biochemistry and Plant Science. According to data from OpenAlex, Arnaud Verbaere has authored 17 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Food Science, 10 papers in Biochemistry and 8 papers in Plant Science. Recurrent topics in Arnaud Verbaere's work include Fermentation and Sensory Analysis (10 papers), Phytochemicals and Antioxidant Activities (9 papers) and Horticultural and Viticultural Research (6 papers). Arnaud Verbaere is often cited by papers focused on Fermentation and Sensory Analysis (10 papers), Phytochemicals and Antioxidant Activities (9 papers) and Horticultural and Viticultural Research (6 papers). Arnaud Verbaere collaborates with scholars based in France, Brazil and Guadeloupe. Arnaud Verbaere's co-authors include Nicolas Sommerer, Véronique Cheynier, Emmanuelle Meudec, Mírian Araújo Carlos Crapez, Robert Duran, Júlio Cesar Wasserman, Elcia Margareth Souza Brito, Marisol Goñi‐Urriza, Rémy Guyoneaud and Anna Vallverdú‐Queralt and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Molecules.

In The Last Decade

Arnaud Verbaere

16 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Verbaere France 10 236 200 185 138 115 17 519
Natalia S. Podio Argentina 15 212 0.9× 149 0.7× 142 0.8× 114 0.8× 62 0.5× 24 648
Giovanni Bartolomeo Italy 17 218 0.9× 201 1.0× 114 0.6× 100 0.7× 74 0.6× 34 695
Roland Riesen United States 11 265 1.1× 194 1.0× 117 0.6× 135 1.0× 49 0.4× 13 559
Laura Scalvenzi Ecuador 12 245 1.0× 207 1.0× 89 0.5× 85 0.6× 75 0.7× 31 572
Brij Verma Canada 9 119 0.5× 164 0.8× 196 1.1× 58 0.4× 50 0.4× 10 475
Angelica Silva United States 4 112 0.5× 184 0.9× 100 0.5× 75 0.5× 30 0.3× 5 522
Giuseppe Daniel Bua Italy 17 200 0.8× 151 0.8× 71 0.4× 102 0.7× 71 0.6× 19 635
Alice Teresa Valduga Brazil 13 143 0.6× 160 0.8× 75 0.4× 90 0.7× 60 0.5× 49 577
Oana Romina Botoran Romania 13 240 1.0× 147 0.7× 117 0.6× 143 1.0× 25 0.2× 49 572
Runhong Mo China 12 118 0.5× 135 0.7× 87 0.5× 58 0.4× 126 1.1× 38 460

Countries citing papers authored by Arnaud Verbaere

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Verbaere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Verbaere

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

All Works

17 of 17 papers shown
1.
2.
Meudec, Emmanuelle, et al.. (2024). Cocoa bean metabolomics reveals polyphenols as potential markers relating to fine dark chocolate color shades. Frontiers in Nutrition. 11. 1467282–1467282.
3.
Fenger, Julie-Anne, Emmanuelle Meudec, Arnaud Verbaere, et al.. (2023). Shades of Fine Dark Chocolate Colors: Polyphenol Metabolomics and Molecular Networking to Enlighten the Brown from the Black. Metabolites. 13(5). 667–667. 6 indexed citations
4.
Ducasse, Marie‐Agnès, Emmanuelle Meudec, Arnaud Verbaere, et al.. (2022). Multi-method study of the impact of fermentation on the polyphenol composition and color of Grenache, Cinsault, and Syrah rosé wines. Food Chemistry. 403. 134396–134396. 5 indexed citations
5.
Verbaere, Arnaud, et al.. (2022). Improved Analysis of Isomeric Polyphenol Dimers Using the 4th Dimension of Trapped Ion Mobility Spectrometry—Mass Spectrometry. Molecules. 27(13). 4176–4176. 5 indexed citations
6.
Boulet, Jean‐Claude, Stéphanie Roi, Arnaud Verbaere, et al.. (2022). Focus on the relationships between the cell wall composition in the extraction of anthocyanins and tannins from grape berries. Food Chemistry. 406. 135023–135023. 14 indexed citations
7.
Ducasse, Marie‐Agnès, Emmanuelle Meudec, Arnaud Verbaere, et al.. (2022). Elucidating the Color of Rosé Wines Using Polyphenol-Targeted Metabolomics. Molecules. 27(4). 1359–1359. 13 indexed citations
8.
Verbaere, Arnaud, et al.. (2022). First characterisation of thiol precursors in Colombard and Gros Manseng: comparison of two cultivation practices. Australian Journal of Grape and Wine Research. 28(3). 492–499. 3 indexed citations
9.
Vernhet, Aude, et al.. (2020). Fate of Anthocyanins and Proanthocyanidins during the Alcoholic Fermentation of Thermovinified Red Musts by Different Saccharomyces cerevisiae Strains. Journal of Agricultural and Food Chemistry. 68(11). 3615–3625. 25 indexed citations
10.
Lecouvey, Marc, et al.. (2017). UPLC-MS Quantification and Anticancer Potential of Ximenia AmericanaHydro-Acetonic Crude Extract Leaves. Der Chemica Sinica. 8(1). 3 indexed citations
11.
Pinasseau, Lucie, Anna Vallverdú‐Queralt, Arnaud Verbaere, et al.. (2017). Cultivar Diversity of Grape Skin Polyphenol Composition and Changes in Response to Drought Investigated by LC-MS Based Metabolomics. Frontiers in Plant Science. 8. 1826–1826. 76 indexed citations
12.
Lima, Nilcilene Sampaio, Anna Vallverdú‐Queralt, Emmanuelle Meudec, et al.. (2017). Quantification of hydroxycinnamic derivatives in wines by UHPLC-MRM-MS. Analytical and Bioanalytical Chemistry. 410(15). 3483–3490. 18 indexed citations
13.
Pinasseau, Lucie, Arnaud Verbaere, Emmanuelle Meudec, et al.. (2016). A Fast and Robust UHPLC-MRM-MS Method to Characterize and Quantify Grape Skin Tannins after Chemical Depolymerization. Molecules. 21(10). 1409–1409. 24 indexed citations
14.
Meudec, Emmanuelle, Arnaud Verbaere, Gérard Mazerolles, et al.. (2015). A High-Throughput UHPLC-QqQ-MS Method for Polyphenol Profiling in Rosé Wines. Molecules. 20(5). 7890–7914. 97 indexed citations
15.
Vallverdú‐Queralt, Anna, Arnaud Verbaere, Emmanuelle Meudec, Véronique Cheynier, & Nicolas Sommerer. (2014). Straightforward Method To Quantify GSH, GSSG, GRP, and Hydroxycinnamic Acids in Wines by UPLC-MRM-MS. Journal of Agricultural and Food Chemistry. 63(1). 142–149. 33 indexed citations
16.
Robinson, Jean-Charles, et al.. (2013). Amazonian palm Oenocarpus bataua (“patawa”): Chemical and biological antioxidant activity – Phytochemical composition. Food Chemistry. 149. 62–70. 45 indexed citations
17.
Brito, Elcia Margareth Souza, Rémy Guyoneaud, Marisol Goñi‐Urriza, et al.. (2006). Characterization of hydrocarbonoclastic bacterial communities from mangrove sediments in Guanabara Bay, Brazil. Research in Microbiology. 157(8). 752–762. 151 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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