Yen-Ling Low

3.0k total citations
9 papers, 520 citations indexed

About

Yen-Ling Low is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Yen-Ling Low has authored 9 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 7 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Yen-Ling Low's work include Phytoestrogen effects and research (7 papers), Estrogen and related hormone effects (6 papers) and Cancer Risks and Factors (3 papers). Yen-Ling Low is often cited by papers focused on Phytoestrogen effects and research (7 papers), Estrogen and related hormone effects (6 papers) and Cancer Risks and Factors (3 papers). Yen-Ling Low collaborates with scholars based in United Kingdom, France and Sweden. Yen-Ling Low's co-authors include Sheila Bingham, Nicholas J. Wareham, Robert Luben, Kay‐Tee Khaw, Mitch Dowsett, James I. Taylor, Philip B. Grace, Nick Day, Ailsa Welch and Angela A. Mulligan and has published in prestigious journals such as Analytical Chemistry, Cancer Research and Journal of Nutrition.

In The Last Decade

Yen-Ling Low

9 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yen-Ling Low United Kingdom 9 378 238 118 110 93 9 520
Michelle S. Cotroneo United States 11 435 1.2× 350 1.5× 185 1.6× 164 1.5× 92 1.0× 13 710
Cherie M. Duphorne United States 8 250 0.7× 186 0.8× 100 0.8× 292 2.7× 45 0.5× 8 691
Roycelynn Mentor‐Marcel United States 8 322 0.9× 230 1.0× 162 1.4× 227 2.1× 97 1.0× 10 708
U. Peters United States 5 207 0.5× 88 0.4× 91 0.8× 108 1.0× 25 0.3× 5 559
Chang Sun Hwang South Korea 7 176 0.5× 102 0.4× 63 0.5× 122 1.1× 42 0.5× 11 346
Yoshie Nagata Japan 12 243 0.6× 74 0.3× 141 1.2× 112 1.0× 52 0.6× 14 580
Paul van der Saag Netherlands 6 156 0.4× 189 0.8× 65 0.6× 123 1.1× 36 0.4× 6 357
Rochelle Fernandes Canada 8 133 0.4× 79 0.3× 63 0.5× 128 1.2× 52 0.6× 8 420
Sandra Hebshi United States 11 264 0.7× 91 0.4× 100 0.8× 39 0.4× 75 0.8× 14 354
Kai Smolnikar Germany 6 174 0.5× 234 1.0× 70 0.6× 115 1.0× 38 0.4× 7 411

Countries citing papers authored by Yen-Ling Low

Since Specialization
Citations

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

Fields of papers citing papers by Yen-Ling Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen-Ling Low. 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 Yen-Ling Low. The network helps show where Yen-Ling Low may publish in the future.

Co-authorship network of co-authors of Yen-Ling Low

This figure shows the co-authorship network connecting the top 25 collaborators of Yen-Ling Low. A scholar is included among the top collaborators of Yen-Ling Low 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 Yen-Ling Low. Yen-Ling Low is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Low, Yen-Ling, et al.. (2017). Effective flocculation of Chlorella vulgaris using chitosan with zeta potential measurement. IOP Conference Series Materials Science and Engineering. 206. 12073–12073. 11 indexed citations
2.
Kuhnle, Gunter, et al.. (2007). Extraction and Quantification of Phytoestrogens in Foods Using Automated Solid-Phase Extraction and LC/MS/MS. Analytical Chemistry. 79(23). 9234–9239. 55 indexed citations
3.
Low, Yen-Ling, Alison M. Dunning, Mitch Dowsett, et al.. (2007). Phytoestrogen Exposure Is Associated with Circulating Sex Hormone Levels in Postmenopausal Women and Interact withESR1andNR1I2Gene Variants. Cancer Epidemiology Biomarkers & Prevention. 16(5). 1009–1016. 51 indexed citations
4.
Low, Yen-Ling, Sara Wedrén, & Jianjun Liu. (2006). High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies. Breast Cancer Research. 8(3). 209–209. 8 indexed citations
5.
Low, Yen-Ling, James I. Taylor, Philip B. Grace, et al.. (2006). Phytoestrogen Exposure, Polymorphisms in COMT, CYP19, ESR1, and SHBG Genes, and Their Associations With Prostate Cancer Risk. Nutrition and Cancer. 56(1). 31–39. 49 indexed citations
6.
7.
Low, Yen-Ling, James I. Taylor, Philip B. Grace, et al.. (2005). Polymorphisms in the CYP19 Gene May Affect the Positive Correlations between Serum and Urine Phytoestrogen Metabolites and Plasma Androgen Concentrations in Men. Journal of Nutrition. 135(11). 2680–2686. 43 indexed citations
8.
Low, Yen-Ling, James I. Taylor, Philip B. Grace, et al.. (2005). Phytoestrogen Exposure Correlation with Plasma Estradiol in Postmenopausal Women in European Prospective Investigation of Cancer and Nutrition-Norfolk May Involve Diet-Gene Interactions. Cancer Epidemiology Biomarkers & Prevention. 14(1). 213–220. 60 indexed citations
9.
Grace, Philip B., James I. Taylor, Yen-Ling Low, et al.. (2004). Phytoestrogen Concentrations in Serum and Spot Urine as Biomarkers for Dietary Phytoestrogen Intake and Their Relation to Breast Cancer Risk in European Prospective Investigation of Cancer and Nutrition-Norfolk. Cancer Epidemiology Biomarkers & Prevention. 13(5). 698–708. 214 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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