Grégory Da Costa

1.1k total citations
43 papers, 898 citations indexed

About

Grégory Da Costa is a scholar working on Molecular Biology, Food Science and Plant Science. According to data from OpenAlex, Grégory Da Costa has authored 43 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Food Science and 13 papers in Plant Science. Recurrent topics in Grégory Da Costa's work include Fermentation and Sensory Analysis (13 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Horticultural and Viticultural Research (9 papers). Grégory Da Costa is often cited by papers focused on Fermentation and Sensory Analysis (13 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Horticultural and Viticultural Research (9 papers). Grégory Da Costa collaborates with scholars based in France, Algeria and Spain. Grégory Da Costa's co-authors include Tristan Richard, F. Guyon, Arnaud Bondon, Stéphanie Krisa, Stéphanie Cluzet, Jean‐Michel Mérillon, Jean‐Pierre Monti, Pierre Waffo‐Téguo, Karine Costuas and Sourisak Sinbandhit and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Grégory Da Costa

42 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Da Costa France 16 343 256 202 189 143 43 898
Ajda Ota Slovenia 16 282 0.8× 281 1.1× 130 0.6× 167 0.9× 92 0.6× 29 831
Cláudia A. Simões‐Pires Switzerland 22 721 2.1× 157 0.6× 298 1.5× 86 0.5× 246 1.7× 47 1.4k
Sabrina Fabris Italy 12 159 0.5× 145 0.6× 102 0.5× 214 1.1× 81 0.6× 19 650
Magdaléna Májeková Slovakia 17 379 1.1× 77 0.3× 102 0.5× 160 0.8× 291 2.0× 57 1.1k
Narayan D. Chaurasiya United States 22 524 1.5× 117 0.5× 241 1.2× 65 0.3× 134 0.9× 43 1.4k
R. Ohmacht Hungary 16 215 0.6× 130 0.5× 96 0.5× 188 1.0× 73 0.5× 40 774
Benedetta Era Italy 20 298 0.9× 177 0.7× 172 0.9× 284 1.5× 261 1.8× 53 1.2k
Paolo De Caprariis Italy 24 460 1.3× 170 0.7× 132 0.7× 150 0.8× 751 5.3× 70 1.7k
Isabel Rivero‐Cruz Mexico 19 398 1.2× 273 1.1× 476 2.4× 130 0.7× 148 1.0× 41 1.1k
Axel Marchal France 20 321 0.9× 422 1.6× 255 1.3× 224 1.2× 36 0.3× 53 814

Countries citing papers authored by Grégory Da Costa

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Da Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grégory Da Costa. 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 Grégory Da Costa. The network helps show where Grégory Da Costa may publish in the future.

Co-authorship network of co-authors of Grégory Da Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Da Costa. A scholar is included among the top collaborators of Grégory Da Costa 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 Grégory Da Costa. Grégory Da Costa 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.
Costa, Grégory Da, et al.. (2025). Cork impact on red wine aging monitoring through 1H NMR metabolomics: A comprehensive approach. Food Research International. 203. 115772–115772. 4 indexed citations
2.
Costa, Grégory Da, et al.. (2024). Targeted 1−H-NMR wine analyses revealed specific metabolomic signatures of yeast populations belonging to the Saccharomyces genus. Food Microbiology. 120. 104463–104463. 2 indexed citations
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Costa, Grégory Da, et al.. (2024). Monitoring red wine maturation in oak barrels using <sup>1</sup>H NMR-based metabolomics. OENO One. 58(2). 2 indexed citations
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Costa, Grégory Da, et al.. (2020). Neuroprotective effects of Fraxinus angustifolia Vahl. bark extract against Alzheimer’s disease. Journal of Chemical Neuroanatomy. 109. 101848–101848. 9 indexed citations
8.
Valls, Josep, Grégory Da Costa, Ruth Hornedo‐Ortega, et al.. (2020). Resveratrol transformation in red wine after heat treatment. Food Research International. 132. 109068–109068. 13 indexed citations
9.
Atmani-Kilani, Dina, Nassima Chaher, Karima Ayouni, et al.. (2019). Identification of bioactive compounds from Fraxinus angustifolia extracts with anti-NADH oxidase activity of bovine milk xanthine oxidoreductase. TURKISH JOURNAL OF BIOLOGY. 43. 133–147. 10 indexed citations
10.
Costa, Grégory Da, Marie‐France Corio‐Costet, Jean‐Michel Mérillon, et al.. (2019). Impact of different elicitors on grapevine leaf metabolism monitored by 1H NMR spectroscopy. Metabolomics. 15(5). 67–67. 10 indexed citations
11.
Costa, Grégory Da, et al.. (2019). 1H NMR metabolomics applied to Bordeaux red wines. Food Chemistry. 301. 125257–125257. 53 indexed citations
12.
Richard, Tristan, Grégory Da Costa, Eric Pédrot, et al.. (2019). Unusual stilbene glucosides from Vitis vinifera roots. OENO One. 53(3). 1 indexed citations
13.
Mokrani, Abderrahmane, Stéphanie Krisa, Stéphanie Cluzet, et al.. (2015). Phenolic contents and bioactive potential of peach fruit extracts. Food Chemistry. 202. 212–220. 103 indexed citations
14.
Pouységu, Laurent, et al.. (2015). Gallotannins and Tannic Acid: First Chemical Syntheses and In Vitro Inhibitory Activity on Alzheimer’s Amyloid β‐Peptide Aggregation. Angewandte Chemie. 127(28). 8335–8339. 6 indexed citations
15.
Pouységu, Laurent, et al.. (2015). Gallotannins and Tannic Acid: First Chemical Syntheses and In Vitro Inhibitory Activity on Alzheimer’s Amyloid β‐Peptide Aggregation. Angewandte Chemie International Edition. 54(28). 8217–8221. 56 indexed citations
16.
Marchal, Axel, Emmanuelle Génin, Pierre Waffo‐Téguo, et al.. (2014). Development of an analytical methodology using Fourier transform mass spectrometry to discover new structural analogs of wine natural sweeteners. Analytica Chimica Acta. 853(2). 425–434. 26 indexed citations
17.
Costa, Grégory Da, Arnaud Bondon, Jérôme Coûtant, Patrick A. Curmi, & Jean‐Pierre Monti. (2012). Intermolecular interactions between the neurotensin and the third extracellular loop of human neurotensin 1 receptor. Journal of Biomolecular Structure and Dynamics. 31(12). 1381–1392. 10 indexed citations
18.
Rizzo, Stefano, Andrea Tarozzi, Manuela Bartolini, et al.. (2012). 2-Arylbenzofuran-based molecules as multipotent Alzheimer's disease modifying agents. European Journal of Medicinal Chemistry. 58. 519–532. 57 indexed citations
19.
Costa, Grégory Da, Soizic Chevance, Élisabeth Le Rumeur, & Arnaud Bondon. (2006). Proton NMR Detection of Porphyrins and Cytochrome c in Small Unilamellar Vesicles: Role of the Dissociation Kinetic Constant. Biophysical Journal. 90(8). L55–L57. 10 indexed citations
20.
Rumeur, Élisabeth Le, et al.. (2006). Binding of the dystrophin second repeat to membrane di-oleyl phospholipids is dependent upon lipid packing. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(3). 648–654. 10 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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