Sarah C. Forester

1.3k total citations
18 papers, 1.0k citations indexed

About

Sarah C. Forester is a scholar working on Pathology and Forensic Medicine, Biochemistry and Applied Microbiology and Biotechnology. According to data from OpenAlex, Sarah C. Forester has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 12 papers in Biochemistry and 5 papers in Applied Microbiology and Biotechnology. Recurrent topics in Sarah C. Forester's work include Tea Polyphenols and Effects (13 papers), Phytochemicals and Antioxidant Activities (12 papers) and Tannin, Tannase and Anticancer Activities (5 papers). Sarah C. Forester is often cited by papers focused on Tea Polyphenols and Effects (13 papers), Phytochemicals and Antioxidant Activities (12 papers) and Tannin, Tannase and Anticancer Activities (5 papers). Sarah C. Forester collaborates with scholars based in United States and Canada. Sarah C. Forester's co-authors include Joshua D. Lambert, Andrew L. Waterhouse, Yeyi Gu, Ying Yng Choy, Ling Tao, Patricia I. Oteiza, Baljinder Kaur, Baljit Kaur, Navdeep Kaur and D. Lorne Tyrrell and has published in prestigious journals such as Cancer Research, Journal of Agricultural and Food Chemistry and Journal of Nutrition.

In The Last Decade

Sarah C. Forester

18 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah C. Forester United States 14 488 406 296 162 140 18 1.0k
Yantao Niu United States 8 440 0.9× 544 1.3× 214 0.7× 121 0.7× 120 0.9× 10 993
Kyoji Yoshino Japan 17 463 0.9× 517 1.3× 192 0.6× 157 1.0× 85 0.6× 43 1.1k
Shuqun Sheng United States 9 456 0.9× 522 1.3× 245 0.8× 127 0.8× 106 0.8× 9 902
Janelle M. Landau United States 7 641 1.3× 590 1.5× 545 1.8× 204 1.3× 143 1.0× 10 1.6k
Inge Lise F. Nielsen Switzerland 9 492 1.0× 396 1.0× 318 1.1× 158 1.0× 229 1.6× 11 1.2k
Nanqun Zhu United States 24 370 0.8× 276 0.7× 510 1.7× 226 1.4× 93 0.7× 32 1.4k
M.G.L. Hertog Netherlands 9 842 1.7× 442 1.1× 248 0.8× 191 1.2× 171 1.2× 11 1.5k
Aurélie Bornet France 11 529 1.1× 225 0.6× 234 0.8× 229 1.4× 127 0.9× 14 1.1k
Ewa Ignatowicz Poland 19 253 0.5× 126 0.3× 324 1.1× 195 1.2× 93 0.7× 45 1.0k
Suri Roowi Malaysia 9 314 0.6× 172 0.4× 212 0.7× 107 0.7× 84 0.6× 15 577

Countries citing papers authored by Sarah C. Forester

Since Specialization
Citations

This map shows the geographic impact of Sarah C. Forester'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 Sarah C. Forester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah C. Forester more than expected).

Fields of papers citing papers by Sarah C. Forester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah C. Forester. 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 Sarah C. Forester. The network helps show where Sarah C. Forester may publish in the future.

Co-authorship network of co-authors of Sarah C. Forester

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah C. Forester. A scholar is included among the top collaborators of Sarah C. Forester based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah C. Forester. Sarah C. Forester is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kaur, Baljinder, et al.. (2020). Anticancer Effects of Extracts from Three Different Chokeberry Species. Nutrition and Cancer. 73(7). 1168–1174. 28 indexed citations
2.
Kaur, Baljit, et al.. (2018). The Impact of the Roast Levels of Coffee Extracts on their Potential Anticancer Activities. Journal of Food Science. 83(4). 1125–1130. 31 indexed citations
3.
Kaur, Baljinder, et al.. (2018). Enhancing the Cancer Cell Growth Inhibitory Effects of Table Grape Anthocyanins. Journal of Food Science. 83(9). 2369–2374. 25 indexed citations
4.
Forester, Sarah C. & Joshua D. Lambert. (2015). The catechol-O-methyltransferase inhibitor, tolcapone, increases the bioavailability of unmethylated (-)-epigallocatechin-3-gallate in mice. Journal of Functional Foods. 17. 183–188. 22 indexed citations
5.
O’Shea, Daire, John Law, Adrian Egli, et al.. (2015). Prevention of hepatitis C virus infection using a broad cross‐neutralizing monoclonal antibody (AR4A) and epigallocatechin gallate. Liver Transplantation. 22(3). 324–332. 14 indexed citations
6.
7.
Tao, Ling, Sarah C. Forester, & Joshua D. Lambert. (2013). Abstract 3667: Pro-oxidant effects of the green tea catechin, (-)-epigallocatechin-3-gallate in oral cancer cells: A role for the mitochondria.. Cancer Research. 73(8_Supplement). 3667–3667. 6 indexed citations
8.
9.
Tao, Ling, Sarah C. Forester, & Joshua D. Lambert. (2013). The role of the mitochondrial oxidative stress in the cytotoxic effects of the green tea catechin, (–)‐epigallocatechin‐3‐gallate, in oral cells. Molecular Nutrition & Food Research. 58(4). 665–676. 66 indexed citations
10.
Tao, Ling, Sarah C. Forester, & Joshua D. Lambert. (2012). Abstract 5436: The role of reactive oxygen species in (-)-epigallocatechin-3-gallate (EGCG)-induced cell growth inhibition and apoptosis in oral cancer cells. Cancer Research. 72(8_Supplement). 5436–5436. 1 indexed citations
11.
Forester, Sarah C., Yeyi Gu, & Joshua D. Lambert. (2012). Inhibition of starch digestion by the green tea polyphenol, (−)‐epigallocatechin‐3‐gallate. Molecular Nutrition & Food Research. 56(11). 1647–1654. 117 indexed citations
12.
Forester, Sarah C., Ying Yng Choy, Andrew L. Waterhouse, & Patricia I. Oteiza. (2012). The anthocyanin metabolites gallic acid, 3-O-methylgallic acid, and 2,4,6-trihydroxybenzaldehyde decrease human colon cancer cell viability by regulating pro-oncogenic signals. Molecular Carcinogenesis. 53(6). 432–439. 96 indexed citations
13.
Forester, Sarah C. & Joshua D. Lambert. (2012). Abstract 5435: Tolcapone inhibits catechol-O-methyl transferase-mediated methylation of (-)-epigallocatechin-3-gallate in vivo. Cancer Research. 72(8_Supplement). 5435–5435. 1 indexed citations
14.
Forester, Sarah C., Patricia I. Oteiza, & Andrew L. Waterhouse. (2011). Identification and Cancer Therapeutic Properties of Microfloral Anthocyanin Metabolites. Journal of Wine Research. 22(2). 171–174. 1 indexed citations
15.
Forester, Sarah C. & Joshua D. Lambert. (2011). The role of antioxidant versus pro‐oxidant effects of green tea polyphenols in cancer prevention. Molecular Nutrition & Food Research. 55(6). 844–854. 272 indexed citations
16.
Forester, Sarah C. & Andrew L. Waterhouse. (2010). Gut Metabolites of Anthocyanins, Gallic Acid, 3-O-Methylgallic Acid, and 2,4,6-Trihydroxybenzaldehyde, Inhibit Cell Proliferation of Caco-2 Cells. Journal of Agricultural and Food Chemistry. 58(9). 5320–5327. 101 indexed citations
17.
Forester, Sarah C. & Andrew L. Waterhouse. (2009). Metabolites Are Key to Understanding Health Effects of Wine Polyphenolics. Journal of Nutrition. 139(9). 1824S–1831S. 99 indexed citations
18.
Forester, Sarah C. & Andrew L. Waterhouse. (2008). Identification of Cabernet Sauvignon Anthocyanin Gut Microflora Metabolites. Journal of Agricultural and Food Chemistry. 56(19). 9299–9304. 83 indexed citations

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.

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