DOI: 10.1038/srep26064 link
PMID: 27263652
OpenAlex ID: W2474877235
Category: Oncology
Title: Synergistic chemopreventive effects of curcumin and berberine on human breast cancer cells through induction of apoptosis and autophagic cell death
Authors: Kai Wang, Peng Li, Jian‐Bo Wan, Chengwei He, Chao Zhang, Jiaolin Bao, Xuejing Jia, Yeer Liang, Xiaotong Wang, Meiwan Chen, Huanxing Su
Publishing Date: 06-Jun-2016
YCR = 2016 / 110 / 4.14
Version 1.00 Year / Citations / Relative
Metric | Value | Date of Calculation |
---|---|---|
Citations count |
110 |
30-May-2024 |
Relative |
4.14 |
04-Aug-2024 |
Same Authors in Other Papers:
Logic 1 Same First Author: A first author detected by OpenAlex algorithm with possibility of multiple first authors. Good R-values of the same first author(s) as a first author(s) in other papers: 28.74, 26.21, 21.52, 20.91, 18.13, 17.09, 16.17, 15.81, 14.00, 11.60, 11.34, 10.85, 10.75, 10.33, 9.48, ... (270 found, truncated)
Logic 2 Same Authors in Any Team: Good R-values of the same authors with any team in other papers: 396, 122, 72.36, 70.69, 68.34, 59.19, 55.83, 52.59, 51.24, 49.52, 49.07, 46.94, 43.57, 41.25, 39.30, ... (3440 found, truncated)
Same Authors Duplicates: duplicates across 2 logical groups are not added up in the final calculation, duplicates are shown with asterisk*.
Same Authors Total Good R-values: same authors total good non-duplicated R-values for above 2 logical groups: 3440
Article Expected CPY (Citations per Year): 3.32 Expected CPY Help
Article Actual CPY: 13.75 Actual CPY Help
Article Co-Citation FCR (Field Citation Rate): 4.24 FCR Help
Article Co-Citation Network Size: 10645 Co-Citation Network Size Help
Article Topics: Therapeutic Potential of Berberine Alkaloids, Role of Autophagy in Disease and Health, Biological Activities of Prenylated Flavonoids Topics help
Article Keywords: Cancer Keywords Help
Journal: Scientific reports
Journal IF-ycr: 4.567 Journal IF-ycr Help
Journal short code: Sci. rep. (Nat. Publ. Group)
Journal ISSN: 2045-2322
Journal OA-ID: 196734849
Expected CPY Help: Predicted citations per year for this article, derived from its Field Citation Rate (FCR) using a benchmark regression of NIH-funded papers. Values above actual CPY indicate under-performance; below indicate over-performance. Used as the denominator of the Relative Citation Ratio.
Back to topActual CPY Help: Average yearly citations the article has received from publication through the current year, adjusted for partial years. Used as the numerator of the Relative Citation Ratio.
Back to topFCR Help: Mean journal citation rate for all papers in the article's co-citation network. For each network paper we substitute its journal’s impact factor (calculated from open data) as a proxy for citations per year, then average these values. This captures the citation intensity of the article's immediate research field and forms the basis for computing expected CPY.
Back to topCo-Citation Network Size Help: Number of unique papers co-cited with this article by its citing papers; larger networks yield more stable field estimates when calculating FCR and expected CPY.
Back to topTopics Help: OpenAlex assigns topics to each paper with an AI model that considers the title, abstract, journal, and citation links. Tags are chosen from about 4,500 research areas, and the highest-confidence tag becomes the paper's primary topic. Every topic sits in a hierarchy of domain, field, and subfield, so you can see exactly where the work fits in the wider map of science.
Back to topKeywords Help: Keywords are generated automatically from the paper's assigned topics. The OpenAlex system selects candidate terms, then keeps up to five that match closely with the title or abstract. These keywords highlight specific concepts or methods and give a quick complement to the broader topic tags.
Back to topJournal IF-ycr Help: Journal IF-ycr is a two-year impact factor recalculated from OpenAlex's open citation data. For a given journal and year Y, we:
- Count citations made in year Y by any paper to items that the journal published in years Y-1 and Y-2 (excluding the current year).
- Divide that citation count by the number of articles the journal published in those same two years.