Helen Hanson

8.9k total citations
73 papers, 1.2k citations indexed

About

Helen Hanson is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Helen Hanson has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 21 papers in Molecular Biology and 18 papers in Cancer Research. Recurrent topics in Helen Hanson's work include BRCA gene mutations in cancer (25 papers), Genomics and Rare Diseases (15 papers) and Cancer Genomics and Diagnostics (15 papers). Helen Hanson is often cited by papers focused on BRCA gene mutations in cancer (25 papers), Genomics and Rare Diseases (15 papers) and Cancer Genomics and Diagnostics (15 papers). Helen Hanson collaborates with scholars based in United Kingdom, United States and Canada. Helen Hanson's co-authors include A.A. Klose, Nazneen Rahman, Clare Turnbull, Hans Lineweaver, D. Gareth Evans, Marc Tischkowitz, Diana Eccles, Ingrid Slade, Angela George and Caroline Mackie Ogilvie and has published in prestigious journals such as Scientific Reports, The Lancet Oncology and The American Journal of Human Genetics.

In The Last Decade

Helen Hanson

64 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen Hanson United Kingdom 21 604 450 301 301 182 73 1.2k
E Abe Japan 14 197 0.3× 576 1.3× 335 1.1× 97 0.3× 29 0.2× 20 1.2k
Faris Farassati United States 17 266 0.4× 401 0.9× 402 1.3× 105 0.3× 31 0.2× 44 942
Amit K. Maiti United States 19 340 0.6× 554 1.2× 114 0.4× 82 0.3× 7 0.0× 42 1.1k
CS Potten United Kingdom 14 251 0.4× 455 1.0× 656 2.2× 195 0.6× 6 0.0× 15 1.3k
M. Kay Washington United States 20 224 0.4× 738 1.6× 556 1.8× 284 0.9× 12 0.1× 34 1.6k
Yuting Yi China 14 106 0.2× 252 0.6× 155 0.5× 192 0.6× 10 0.1× 54 631
Huihui Chen China 15 97 0.2× 312 0.7× 182 0.6× 160 0.5× 40 0.2× 43 626
M. Pichon France 16 180 0.3× 183 0.4× 259 0.9× 113 0.4× 17 0.1× 42 690
Hua Geng China 19 75 0.1× 897 2.0× 206 0.7× 407 1.4× 59 0.3× 44 1.4k
Toshifumi Kawakami Japan 16 104 0.2× 1.1k 2.4× 330 1.1× 260 0.9× 10 0.1× 31 1.6k

Countries citing papers authored by Helen Hanson

Since Specialization
Citations

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

Fields of papers citing papers by Helen Hanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Hanson

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

All Works

20 of 20 papers shown
1.
Morton, Katherine, Lesley Turner, Rebecca H. Foster, et al.. (2025). Optimizing risk‐reducing surgery and aspirin decision aids for Lynch syndrome carriers using the person‐based approach: A think‐aloud interview study. Journal of Genetic Counseling. 34(4). e70089–e70089.
2.
Huntley, Catherine, Bethany Torr, Angela George, et al.. (2024). Breast cancer risk assessment for prescription of menopausal hormone therapy in women with a family history of breast cancer: an epidemiological modelling study. British Journal of General Practice. 74(746). e610–e618. 1 indexed citations
3.
Rowlands, Charlie F, Judith Balmañà, Susan M. Domchek, et al.. (2024). Population-based germline breast cancer gene association studies and meta-analysis to inform wider mainstream testing. Annals of Oncology. 35(10). 892–901. 7 indexed citations
4.
Short, John Rennie, et al.. (2024). Digital innovation for cancer risk assessment allows large-scale service redevelopment of regional cancer genetics service delivery. Familial Cancer. 23(4). 591–598. 1 indexed citations
5.
Rowlands, Charlie F, Alice Garrett, Miranda Durkie, et al.. (2024). The PS4-likelihood ratio calculator: flexible allocation of evidence weighting for case-control data in variant classification. Journal of Medical Genetics. 61(10). 983–991. 1 indexed citations
6.
McVeigh, Terri, Fiona Lalloo, Kevin Monahan, et al.. (2024). Carrier testing for partners of MUTYH variant carriers: UK Cancer Genetics Group recommendations. Journal of Medical Genetics. 61(8). 813–816. 1 indexed citations
7.
Pal, Tuya, Katherine Schon, Judith Balmañà, et al.. (2024). Management of individuals with heterozygous germline pathogenic variants in ATM: A clinical practice resource of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 27(1). 101243–101243. 6 indexed citations
9.
McDevitt, Trudi, Miranda Durkie, Norbert Arnold, et al.. (2024). EMQN best practice guidelines for genetic testing in hereditary breast and ovarian cancer. European Journal of Human Genetics. 32(5). 479–488. 5 indexed citations
10.
McVeigh, Terri, Kevin Monahan, Joseph Christopher, et al.. (2024). Extent of investigation and management of cases of ‘unexplained’ mismatch repair deficiency (u-dMMR): a UK Cancer Genetics Group consensus. Journal of Medical Genetics. 61(7). 707–715. 1 indexed citations
11.
Shaw, Rachel, Linda M. Collins, Pan Pantziarka, et al.. (2024). Cancer Precision-Prevention trial of Metformin in adults with Li Fraumeni syndrome (MILI) undergoing yearly MRI surveillance: a randomised controlled trial protocol. Trials. 25(1). 103–103. 5 indexed citations
14.
Garrett, Alice, Miranda Durkie, Alison Callaway, et al.. (2020). Combining evidence for and against pathogenicity for variants in cancer susceptibility genes: CanVIG-UK consensus recommendations. Journal of Medical Genetics. 58(5). 297–304. 36 indexed citations
15.
Taylor, Amy, Angela F. Brady, Ian M. Frayling, et al.. (2018). Consensus for genes to be included on cancer panel tests offered by UK genetics services: guidelines of the UK Cancer Genetics Group. Journal of Medical Genetics. 55(6). 372–377. 68 indexed citations
16.
Wormald, Benjamin W., et al.. (2018). Sertoli‐Leydig Cell Tumour and DICER1 Mutation: A Case Report and Review of the Literature. Case Reports in Obstetrics and Gynecology. 2018(1). 7927362–7927362. 3 indexed citations
17.
Slade, Ingrid, Helen Hanson, Angela George, et al.. (2016). A cost analysis of a cancer genetic service model in the UK. Journal of Community Genetics. 7(3). 185–194. 29 indexed citations
18.
Robertson, Lindsay B., Helen Hanson, S. Seal, et al.. (2012). BRCA1 testing should be offered to individuals with triple-negative breast cancer diagnosed below 50 years. British Journal of Cancer. 106(6). 1234–1238. 79 indexed citations
19.
Hanson, Helen, et al.. (2010). The Value of Clinical Criteria in Identifying Patients with X-Linked Alport Syndrome. Clinical Journal of the American Society of Nephrology. 6(1). 198–203. 31 indexed citations
20.
Irving, Melita, Helen Hanson, Peter D. Turnpenny, et al.. (2003). Deletion of the distal long arm of chromosome 10; is there a characteristic phenotype? A report of 15 de novo and familial cases. American Journal of Medical Genetics Part A. 123A(2). 153–163. 53 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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