Grégory Da Costa
Impact in
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Metabolomics and Mass Spectrometry Studies 10
- Natural product bioactivities and synthesis 4
- Lipid Membrane Structure and Behavior 4
- Receptor Mechanisms and Signaling 3
- Food Science 13
- Fermentation and Sensory Analysis 12
- Co-authors
- Tristan Richard (26 shared papers)F. Guyon (3 shared papers)Jean‐Michel Mérillon (8 shared papers)Arnaud Bondon (10 shared papers)Stéphanie Krisa (5 shared papers)Stéphanie Cluzet (6 shared papers)Jean‐Pierre Monti (7 shared papers)Pierre Waffo‐Téguo (4 shared papers)
In The Last Decade
Grégory Da Costa
43 papers receiving 905 citations
Peers
Comparison fields: 5 of 100
- Biochemistry 184
- Geriatrics and Gerontology 59
- Food Science 258
- Biological Psychiatry 17
- Complementary and alternative medicine 46
Countries citing papers authored by Grégory Da Costa
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
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-authors
The 25 scholars most cited alongside Grégory Da Costa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2017 | 80 | |
| 3 | 2012 | 58 | |
| 4 | 2018 | 58 | |
| 5 | 2015 | 57 | |
| 6 | 2007 | 55 | |
| 7 | 2019 | 54 | |
| 8 | 2017 | 45 | |
| 9 | 2019 | 43 | |
| 10 | 2009 | 41 | |
| 11 | 2019 | 30 | |
| 12 | 2007 | 26 | |
| 13 | 2014 | 26 | |
| 14 | 2021 | 25 | |
| 15 | 2010 | 21 | |
| 16 | 2014 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2020 | 13 | |
| 19 | 2022 | 12 | |
| 20 | 2019 | 10 |
About Grégory Da Costa
Grégory Da Costa is a scholar working on Molecular Biology, Food Science, Plant Science, Biochemistry and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 915 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (12 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Horticultural and Viticultural Research (8 papers), Phytochemicals and Antioxidant Activities (7 papers), Natural product bioactivities and synthesis (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Biochemistry (184 citations), Geriatrics and Gerontology (59 citations), Food Science (258 citations), Biological Psychiatry (17 citations) and Complementary and alternative medicine (46 citations). Grégory Da Costa has collaborated with scholars based in France, Algeria and Spain. Frequent co-authors include Tristan Richard, F. Guyon, Jean‐Michel Mérillon, Arnaud Bondon, Stéphanie Krisa, Stéphanie Cluzet, Jean‐Pierre Monti, Pierre Waffo‐Téguo, Frédéric Paul and Karine Costuas. Their work appears in journals such as OENO One, Journal of Biomolecular Structure and Dynamics, Food Research International, Organometallics and Food Control.
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.