The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Berry polyphenols metabolism and impact on human gut microbiota and health
Abstract
Berries are rich in phenolic compounds such as phenolic acids, flavonols and anthocyanins.
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Citations
Cites
Dao, M. C., Everard, A., Aron-Wisnewsky, J., Sokolovska, N., Prifti, E., Verger, E. O., Kayser, B. D., Levenez, F., Chilloux, J., Hoyles, L., et al. (2016) · Gut · doi:10.1136/gutjnl-2014-308778 · Cited by 1,931
Interaction between Phenolics and Gut Microbiota: Role in Human Health
Selma, M. V., Espín, J. C., & Tomás-Barberán, F. A. (2009) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf902107d · Cited by 1,324
Anhê, F. F., Roy, D., Pilon, G., Dudonné, S., Matamoros, S., Varin, T. V., Garofalo, C., Moine, Q., Desjardins, Y., Levy, E., et al. (2015) · Gut · doi:10.1136/gutjnl-2014-307142 · Cited by 1,137
Seeram, N. P., Adams, L. S., Zhang, Y., Lee, R., Sand, D., Scheuller, H. S., & Heber, D. (2006) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf061750g · Cited by 770
A survey of modulation of gut microbiota by dietary polyphenols
Dueñas, M., Muñoz-González, I., Cueva, C., Jiménez-Girón, A., Sánchez-Patán, F., Santos-Buelga, C., Moreno-Arribas, M. V., & Bartolomé, B. (2015) · BioMed Research International · doi:10.1155/2015/850902 · Cited by 396
Guglielmetti, S., Fracassetti, D., Taverniti, V., Del Bo’, C., Vendrame, S., Klimis-Zacas, D., Arioli, S., Riso, P., & Porrini, M. (2013) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf402495k · Cited by 123
Song, M.-Y., Wang, J.-H., Eom, T., & Kim, H. (2015) · Nutrition Research · doi:10.1016/j.nutres.2015.05.001 · Cited by 74
Petersen, C., Wankhade, U. D., Bharat, D., Wong, K., Mueller, J. E., Chintapalli, S. V., Piccolo, B. D., Jalili, T., Jia, Z., Symons, J. D., et al. (2019) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2019.01.004 · Cited by 73
Cited by
Gaitán, J. M., Moon, H. Y., Stremlau, M., Dubal, D. B., Cook, D. B., Okonkwo, O. C., & van Praag, H. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.660181 · Cited by 160
Li, Y., Peng, Y., Shen, Y., Zhang, Y., Liu, L., & Yang, X. (2023) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2076064 · Cited by 156
Gut Microbiota: A Pivotal Hub for Polyphenols as Antidepressants
Zhou, N., Gu, X., Zhuang, T., Xu, Y., Yang, L., & Zhou, M. (2020) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.0c01461 · Cited by 54
Metadata
- Authors
- Lavefve, L., Howard, L. R., & Carbonero, F.
- Venue
- Food & Function
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2020
- Volume
- 11
- Issue
- 1
- Pages
- 45-65
- ISSN
- 2042-6496 (ISSN-L)
- 2042-650X
- OpenAlex
- W2985457138
- Cited by
- 265
- References
- 8
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
