The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Green Tea (Camellia sinensis): A Review of Its Phytochemistry, Pharmacology, and Toxicology
Open accessAbstract
Objectives Green tea (Camellia sinensis) is a kind of unfermented tea that retains the natural substance in fresh leaves to a great extent. It is regarded as the second most popular drink in the world besides water. In this paper, the phytochemistry, pharmacology, and toxicology of green tea are reviewed systematically and comprehensively. Key findings Green tea has been demonstrated to be good for human health. Nowadays, multiple pharmacologically active components have been isolated and identified from green tea, including tea polyphenols, alkaloids, amino acids, polysaccharides, and volatile components. Recent studies have demonstrated that green tea shows versatile pharmacological activities, such as antioxidant, anticancer, hypoglycemic, antibacterial, antiviral, and neuroprotective. Studies on the toxic effects of green tea extract and its main ingredients have also raised concerns including hepatotoxicity and DNA damage. Summary Green tea can be used to assist the treatment of diabetes, Alzheimer’s disease, oral cancer, and dermatitis. Consequently, green tea has shown promising practical prospects in health care and disease prevention.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Insertion of specific bases during DNA synthesis past the oxidation-damaged base 8-oxodG
Shibutani, S., Takeshita, M., & Grollman, A. P. (1991) · Nature · doi:10.1038/349431a0 · Cited by 2,224
Effect of green tea rich in ?-aminobutyric acid on blood pressure of Dahl salt-sensitive rats
ABE, Y., UMEMURA, S., SUGIMOTO, K., HIRAWA, N., KATO, Y., YOKOYAMA, N., YOKOYAMA, T., IWAI, J., & ISHII, M. (1995) · American Journal of Hypertension · doi:10.1016/0895-7061(94)00141-w · Cited by 160
Yoneda, Y., Kuramoto, N., & Kawada, K. (2019) · Neurochemistry International · doi:10.1016/j.neuint.2019.104505 · Cited by 39
Metadata
- Authors
- Zhao, T., Li, C., Wang, S., & Song, X.
- Venue
- Molecules
- Publisher
- MDPI AG
- Published
- 2022-06-18
- Volume
- 27
- Issue
- 12
- Pages
- 3909
- ISSN
- 1420-3049 (ISSN-L)
- OpenAlex
- W4283121465
- Cited by
- 344
- References
- 3
- FWCI
- 37.91
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Green Tea (Camellia sinensis): A Review of Its Phytochemistry, Pharmacology, and Toxicology. https://app.cochat.ai/papers/10.3390/molecules27123909
- The paper
- Zhao, T., Li, C., Wang, S., & Song, X. (2022). Green Tea (Camellia sinensis): A Review of Its Phytochemistry, Pharmacology, and Toxicology. Molecules. https://doi.org/10.3390/molecules27123909
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.
