The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Natural Phenolic Compounds From Medicinal Herbs and Dietary Plants: Potential Use for Cancer Prevention
Abstract
Natural phenolic compounds play an important role in cancer prevention and treatment. Phenolic compounds from medicinal herbs and dietary plants include phenolic acids, flavonoids, tannins, stilbenes, curcuminoids, coumarins, lignans, quinones, and others. Various bioactivities of phenolic compounds are responsible for their chemopreventive properties (e.g., antioxidant, anticarcinogenic, or antimutagenic and anti-inflammatory effects) and also contribute to their inducing apoptosis by arresting cell cycle, regulating carcinogen metabolism and ontogenesis expression, inhibiting DNA binding and cell adhesion, migration, proliferation or differentiation, and blocking signaling pathways. This review covers the most recent literature to summarize structural categories and molecular anticancer mechanisms of phenolic compounds from medicinal herbs and dietary plants.
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
The Causes of Cancer: Quantitative Estimates of Avoidable Risks of Cancer in the United States Today
Doll, R., & Peto, R. (1981) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/66.6.1192 · Cited by 3,927 · cited 1×
“Earlier investigation showed that an average of 35% of overall human cancer-related mortality was attributed to diet (16).”
BackgroundCancer chemoprevention with dietary phytochemicals
Surh, Y.-J. (2003) · Nature reviews. Cancer · doi:10.1038/nrc1189 · Cited by 2,955
Dietary polyphenols and their biological significance
Han, X., Shen, T., & Lou, H. (2007) · International Journal of Molecular Sciences · doi:10.3390/i8090950 · Cited by 1,081 · cited 9×
“, clove and cinnamon) contain high levels of proanthocyanidins or ellagitannins (21,28).”
BackgroundInfluentialFabiani, R., De Bartolomeo, A., Rosignoli, P., Servili, M., Montedoro, G. F., & Morozzi, G. (2002) · European Journal of Cancer Prevention · doi:10.1097/00008469-200208000-00006 · Cited by 210
Cited by
Kostova, I., Bhatia, S., Grigorov, P., Balkansky, S., S. Parmar, V., K. Prasad, A., & Saso, L. (2011) · Current Medicinal Chemistry · doi:10.2174/092986711803414395 · Cited by 435
Russell, W. R., Duncan, S. H., Scobbie, L., Duncan, G., Cantlay, L., Calder, A. G., Anderson, S. E., & Flint, H. J. (2013) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201200594 · Cited by 417
Xiong, Y., Zhang, P., Warner, R. D., & Fang, Z. (2019) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12506 · Cited by 336
SuFEx Click Chemistry Enabled Late-Stage Drug Functionalization
Liu, Z., Li, J., Li, S., Li, G., Sharpless, K. B., & Wu, P. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.7b12788 · Cited by 319
Flavonoids, Flavonoid Subclasses and Breast Cancer Risk: A Meta-Analysis of Epidemiologic Studies
Hui, C., Qi, X., Qianyong, Z., Xiaoli, P., Jundong, Z., & Mantian, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054318 · Cited by 245
Metadata
- Authors
- Huang, W.-Y., Cai, Y.-Z., & Zhang, Y.
- Venue
- Nutrition and Cancer
- Publisher
- Informa UK Limited
- Published
- 2009-12-31
- Volume
- 62
- Issue
- 1
- Pages
- 1-20
- ISSN
- 0163-5581 (ISSN-L)
- 1532-7914
- OpenAlex
- W2084046958
- Cited by
- 1,009
- References
- 4
- FWCI
- 14.02
- Type
- journal article
- Language
- en
- Open access
- closed
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: Natural Phenolic Compounds From Medicinal Herbs and Dietary Plants: Potential Use for Cancer Prevention. https://app.cochat.ai/papers/10.1080/01635580903191585
- The paper
- Huang, W.-Y., Cai, Y.-Z., & Zhang, Y. (2009). Natural Phenolic Compounds From Medicinal Herbs and Dietary Plants: Potential Use for Cancer Prevention. Nutrition and Cancer. https://doi.org/10.1080/01635580903191585
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.
