Caroline Baynes

9.2k total citations
16 papers, 794 citations indexed

About

Caroline Baynes is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Caroline Baynes has authored 16 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Caroline Baynes's work include BRCA gene mutations in cancer (8 papers), Genetic Associations and Epidemiology (4 papers) and Estrogen and related hormone effects (3 papers). Caroline Baynes is often cited by papers focused on BRCA gene mutations in cancer (8 papers), Genetic Associations and Epidemiology (4 papers) and Estrogen and related hormone effects (3 papers). Caroline Baynes collaborates with scholars based in United Kingdom, United States and France. Caroline Baynes's co-authors include Paul D.P. Pharoah, Alison M. Dunning, Douglas F. Easton, Craig Luccarini, Robert Luben, Karen A. Pooley, Deborah J. Thompson, Bruce A.J. Ponder, N.G. Burnet and Gillian C. Barnett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet Oncology and Human Molecular Genetics.

In The Last Decade

Caroline Baynes

16 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Baynes United Kingdom 11 366 293 215 166 148 16 794
Ritva Valavaara Finland 14 126 0.3× 406 1.4× 293 1.4× 223 1.3× 117 0.8× 29 900
P. Neven Belgium 14 184 0.5× 189 0.6× 531 2.5× 222 1.3× 129 0.9× 24 836
Tanja Ignatov Germany 22 477 1.3× 534 1.8× 507 2.4× 336 2.0× 115 0.8× 45 1.3k
Ermelinda De Maio Italy 16 425 1.2× 217 0.7× 533 2.5× 284 1.7× 46 0.3× 30 1.1k
Sònia Servitja Spain 21 321 0.9× 224 0.8× 734 3.4× 242 1.5× 78 0.5× 54 1.1k
Sei‐Hyun Ahn South Korea 20 231 0.6× 121 0.4× 305 1.4× 423 2.5× 72 0.5× 56 948
Céline Pallaud Switzerland 14 235 0.6× 91 0.3× 275 1.3× 114 0.7× 48 0.3× 33 810
Lavina Bharwani Singapore 9 356 1.0× 289 1.0× 491 2.3× 149 0.9× 120 0.8× 13 861
Paul Toren Canada 19 425 1.2× 120 0.4× 228 1.1× 272 1.6× 64 0.4× 77 1.2k
Nigel Sacks United Kingdom 18 268 0.7× 466 1.6× 521 2.4× 590 3.6× 93 0.6× 37 1.2k

Countries citing papers authored by Caroline Baynes

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Baynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Baynes. 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 Caroline Baynes. The network helps show where Caroline Baynes may publish in the future.

Co-authorship network of co-authors of Caroline Baynes

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

All Works

16 of 16 papers shown
1.
Decker, Brennan, Jamie Allen, Craig Luccarini, et al.. (2019). Targeted Resequencing of the Coding Sequence of 38 Genes Near Breast Cancer GWAS Loci in a Large Case–Control Study. Cancer Epidemiology Biomarkers & Prevention. 28(4). 822–825. 7 indexed citations
2.
Broudin, Chloé, Marie Müller, Pernelle Lavaud, et al.. (2018). Low risk of invasive lobular carcinoma of the breast in carriers of BRCA1 (hereditary breast and ovarian cancer) and TP53 (Li‐Fraumeni syndrome) germline mutations. The Breast Journal. 25(1). 16–19. 7 indexed citations
3.
Decker, Brennan, Jamie Allen, Craig Luccarini, et al.. (2017). Rare, protein-truncating variants in ATM, CHEK2 and PALB2, but not XRCC2, are associated with increased breast cancer risks. Journal of Medical Genetics. 54(11). 732–741. 62 indexed citations
4.
Jervis, Sarah, Honglin Song, Andrew Lee, et al.. (2015). A risk prediction algorithm for ovarian cancer incorporating BRCA1, BRCA2, common alleles and other familial effects. Journal of Medical Genetics. 52(7). 465–475. 45 indexed citations
5.
Scollen, Serena, Craig Luccarini, Caroline Baynes, et al.. (2011). TGF-β Signaling Pathway and Breast Cancer Susceptibility. Cancer Epidemiology Biomarkers & Prevention. 20(6). 1112–1119. 47 indexed citations
6.
Barnett, Gillian C., Charlotte E. Coles, Rebecca Elliott, et al.. (2011). Independent validation of genes and polymorphisms reported to be associated with radiation toxicity: a prospective analysis study. The Lancet Oncology. 13(1). 65–77. 160 indexed citations
7.
Abraham, Jean, Mel Maranian, Kristy Driver, et al.. (2011). CYP2D6 Gene Variants and Their Association with Breast Cancer Susceptibility. Cancer Epidemiology Biomarkers & Prevention. 20(6). 1255–1258. 9 indexed citations
8.
Barnett, Gillian C., Charlotte E. Coles, N.G. Burnet, et al.. (2010). No association between SNPs regulating TGF-β1 secretion and late radiotherapy toxicity to the breast: Results from the RAPPER study. Radiotherapy and Oncology. 97(1). 9–14. 46 indexed citations
9.
Abraham, Jean, Mel Maranian, Kristy Driver, et al.. (2010). CYP2D6 gene variants: association with breast cancer specific survival in a cohort of breast cancer patients from the United Kingdom treated with adjuvant tamoxifen. Breast Cancer Research. 12(4). R64–R64. 70 indexed citations
10.
Field, Helen I., Serena Scollen, Craig Luccarini, et al.. (2009). Seq4SNPs: new software for retrieval of multiple, accurately annotated DNA sequences, ready formatted for SNP assay design. BMC Bioinformatics. 10(1). 180–180. 4 indexed citations
11.
Pooley, Karen A., Caroline Baynes, Kristy Driver, et al.. (2008). Common Single-Nucleotide Polymorphisms in DNA Double-Strand Break Repair Genes and Breast Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 17(12). 3482–3489. 25 indexed citations
12.
Thompson, Deborah J., Catherine S. Healey, Caroline Baynes, et al.. (2008). Identification of Common Variants in the SHBG Gene Affecting Sex Hormone-Binding Globulin Levels and Breast Cancer Risk in Postmenopausal Women. Cancer Epidemiology Biomarkers & Prevention. 17(12). 3490–3498. 43 indexed citations
13.
Baynes, Caroline, Catherine S. Healey, Karen A. Pooley, et al.. (2007). Common variants in the ATM, BRCA1, BRCA2, CHEK2 and TP53 cancer susceptibility genes are unlikely to increase breast cancer risk. Breast Cancer Research. 9(2). R27–R27. 74 indexed citations
14.
Hesselson, Stephanie, Jill D. Haag, Amy Trentham‐Dietz, et al.. (2007). Rat Mcs5a is a compound quantitative trait locus with orthologous human loci that associate with breast cancer risk. Proceedings of the National Academy of Sciences. 104(15). 6299–6304. 48 indexed citations
15.
Alzahrani, Ali, Manjinder S. Sandhu, Robert Luben, et al.. (2005). IGF1 and IGFBP3 tagging polymorphisms are associated with circulating levels of IGF1, IGFBP3 and risk of breast cancer. Human Molecular Genetics. 15(1). 1–10. 142 indexed citations
16.
Baynes, Caroline, Alison M. Dunning, Philip R. Evans, et al.. (2004). Poster group 6 – Other genes and molecules involved in the immune response. Genes and Immunity. 5(S1). S52–S55. 5 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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