Helen Byers

1.6k total citations
30 papers, 651 citations indexed

About

Helen Byers is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Helen Byers has authored 30 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 9 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Helen Byers's work include BRCA gene mutations in cancer (17 papers), Genomic variations and chromosomal abnormalities (7 papers) and Cancer Genomics and Diagnostics (7 papers). Helen Byers is often cited by papers focused on BRCA gene mutations in cancer (17 papers), Genomic variations and chromosomal abnormalities (7 papers) and Cancer Genomics and Diagnostics (7 papers). Helen Byers collaborates with scholars based in United Kingdom, United States and Egypt. Helen Byers's co-authors include William G. Newman, D. Gareth Evans, Anthony Howell, Elaine F. Harkness, Adam R. Brentnall, Jack Cuzick, Elke M. van Veen, Susan Astley, Sarah Sampson and Miriam J. Smith and has published in prestigious journals such as Journal of Clinical Oncology, The American Journal of Human Genetics and International Journal of Cancer.

In The Last Decade

Helen Byers

30 papers receiving 643 citations

Peers

Helen Byers

GENET

ONCOL

PFM

Ryan Bernhisel United States

Zoe Kemp United Kingdom

Anu Chittenden United States

Susan Manley United States

Steven A. Narod Canada

Joellen Schildkraut United States

Jacqueline Mersch United States

Muy‐Kheng M. Tea Austria

Jannet Blom Netherlands

Cheryl L. Soderberg United States

Ryan Bernhisel United States

Helen Byers

260 ×0.6

GENET

162 ×0.7

ONCOL

142 ×0.8

184 ×1.3

137 ×1.9

PFM

Citations per year, relative to Helen Byers Helen Byers (= 1×) peers Ryan Bernhisel

Countries citing papers authored by Helen Byers

Since Specialization

Citations

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

Fields of papers citing papers by Helen Byers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Byers

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

All Works

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20 of 20 papers shown

Smith, Miriam J., Emma J. Crosbie, John Bowes, et al.. (2023). Validation of lung cancer polygenic risk scores in a high-risk case-control cohort. Genetics in Medicine. 25(8). 100882–100882. 4 indexed citations

Evans, D. Gareth, Elke M. van Veen, Elaine F. Harkness, et al.. (2022). Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel. Genetics in Medicine. 24(7). 1485–1494. 30 indexed citations

Evans, D. Gareth, Elke M. van Veen, George J. Burghel, et al.. (2022). Differential involvement of germline pathogenic variants in breast cancer genes between DCIS and low-grade invasive cancers. Journal of Medical Genetics. 60(8). 740–746. 2 indexed citations

Woodward, Emma R., Elke M. van Veen, Claire Forde, et al.. (2021). Clinical utility of testing for PALB2 and CHEK2 c.1100delC in breast and ovarian cancer. Genetics in Medicine. 23(10). 1969–1976. 9 indexed citations

Veen, Elke M. van, D. Gareth Evans, Elaine F. Harkness, et al.. (2021). Extended gene panel testing in lobular breast cancer. Familial Cancer. 21(2). 129–136. 3 indexed citations

Evans, D. Gareth, Elaine F. Harkness, Adam R. Brentnall, et al.. (2019). Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants. Breast Cancer Research and Treatment. 176(1). 141–148. 49 indexed citations

Evans, D. Gareth, Elke M. van Veen, Helen Byers, et al.. (2018). A Dominantly Inherited 5′ UTR Variant Causing Methylation-Associated Silencing of BRCA1 as a Cause of Breast and Ovarian Cancer. The American Journal of Human Genetics. 103(2). 213–220. 57 indexed citations

Newman, William G., et al.. (2016). AMH type II receptor and AMH gene polymorphisms are not associated with ovarian reserve, response, or outcomes in ovarian stimulation. Journal of Assisted Reproduction and Genetics. 33(8). 1085–1091. 10 indexed citations

Byers, Helen, Yvonne Wallis, Elke M. van Veen, et al.. (2016). Sensitivity of BRCA1/2 testing in high-risk breast/ovarian/male breast cancer families: little contribution of comprehensive RNA/NGS panel testing. European Journal of Human Genetics. 24(11). 1591–1597. 24 indexed citations

10.

Brentnall, Adam R., Jack Cuzick, Helen Byers, et al.. (2016). Relationship of ZNF423 and CTSO with breast cancer risk in two randomised tamoxifen prevention trials. Breast Cancer Research and Treatment. 158(3). 591–596. 6 indexed citations

11.

Byers, Helen, et al.. (2016). Association of a promoter polymorphism in FSHR with ovarian reserve and response to ovarian stimulation in women undergoing assisted reproductive treatment. Reproductive BioMedicine Online. 33(3). 391–397. 13 indexed citations

12.

Hughes, Michael, Ariane L. Herrick, Sudeep Pushpakom, et al.. (2016). A synonymous variant in TREX1 is associated with systemic sclerosis and severe digital ischaemia. Scandinavian Journal of Rheumatology. 46(1). 77–78. 4 indexed citations

13.

McDermott, John, Helen Byers, & Jill Clayton‐Smith. (2015). Detection of a mosaic PIK3CA mutation in dental DNA from a child with megalencephaly capillary malformation syndrome. Clinical Dysmorphology. 25(1). 16–18. 8 indexed citations

14.

Smith, Miriam J., et al.. (2014). Intronic splicing mutations in PTCH1 cause Gorlin syndrome. Familial Cancer. 13(3). 477–480. 24 indexed citations

15.

Byers, Helen, et al.. (2014). Identification of a novel familial FGF16 mutation in metacarpal 4–5 fusion. Clinical Dysmorphology. 23(3). 95–97. 7 indexed citations

16.

Mohiyiddeen, Lamiya, et al.. (2013). FSH receptor genotype does not predict metaphase-II oocyte output or fertilization rates in ICSI patients. Reproductive BioMedicine Online. 27(3). 305–309. 5 indexed citations

17.

Byers, Helen, et al.. (2013). Spontaneous ovarian hyperstimulation syndrome: case report, pathophysiological classification and diagnostic algorithm. European Journal of Obstetrics & Gynecology and Reproductive Biology. 169(2). 143–148. 12 indexed citations

18.

Evans, D. Gareth, Sarah Ingham, Iain Buchan, et al.. (2013). Increased Rate of Phenocopies in All Age Groups in BRCA1/BRCA2 Mutation Kindred, but Increased Prospective Breast Cancer Risk Is Confined to BRCA2 Mutation Carriers. Cancer Epidemiology Biomarkers & Prevention. 22(12). 2269–2276. 11 indexed citations

19.

Banka, Siddharth, Robert Wynn, Helen Byers, Peter D. Arkwright, & William G. Newman. (2012). G6PC3 mutations cause non-syndromic severe congenital neutropenia. Molecular Genetics and Metabolism. 108(2). 138–141. 12 indexed citations

20.

Warwick, Jane, et al.. (2012). Is multipleSNPtesting inBRCA2andBRCA1female carriers ready for use in clinical practice? Results from a large Genetic Centre in theUK. Clinical Genetics. 84(1). 37–42. 10 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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