Heather Thorne

23.2k total citations · 1 hit paper
40 papers, 2.2k citations indexed

About

Heather Thorne is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Heather Thorne has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 15 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Heather Thorne's work include BRCA gene mutations in cancer (18 papers), Genetic factors in colorectal cancer (10 papers) and Cancer Genomics and Diagnostics (10 papers). Heather Thorne is often cited by papers focused on BRCA gene mutations in cancer (18 papers), Genetic factors in colorectal cancer (10 papers) and Cancer Genomics and Diagnostics (10 papers). Heather Thorne collaborates with scholars based in Australia, United States and Spain. Heather Thorne's co-authors include Stephen B. Fox, Melissa A. Brown, Natasha C. Forrest, Frank Feleppa, Lily I. Huschtscha, Max Yan, Marie-Liesse Asselin-Labat, Di Wu, Adam H. Hart and Elgene Lim and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Heather Thorne

40 papers receiving 2.1k citations

Hit Papers

Aberrant luminal progenitors as the candidate target popu... 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Thorne Australia 18 1.2k 1.1k 761 568 370 40 2.2k
Tomas Kirchhoff United States 26 1.4k 1.1× 990 0.9× 594 0.8× 948 1.7× 366 1.0× 79 2.7k
Cathy B. Moelans Netherlands 28 1.0k 0.8× 917 0.8× 719 0.9× 433 0.8× 386 1.0× 87 2.1k
Maryou Lambros United Kingdom 23 1.4k 1.1× 1.0k 0.9× 902 1.2× 280 0.5× 304 0.8× 39 2.3k
Diana Mandelker United States 23 1.3k 1.1× 867 0.8× 718 0.9× 311 0.5× 482 1.3× 94 2.5k
Iris L. van Staveren Netherlands 22 1.1k 0.9× 968 0.9× 689 0.9× 467 0.8× 159 0.4× 25 1.9k
Coya Tapia Switzerland 28 838 0.7× 1.1k 1.1× 752 1.0× 283 0.5× 461 1.2× 47 2.3k
Francesco Schittulli Italy 24 976 0.8× 817 0.8× 728 1.0× 393 0.7× 165 0.4× 75 1.9k
J. S. Reis-Filho United Kingdom 14 812 0.7× 1.0k 0.9× 884 1.2× 314 0.6× 309 0.8× 24 2.0k
Tuula Kuukasjärvi Finland 20 892 0.7× 834 0.8× 633 0.8× 602 1.1× 232 0.6× 25 1.8k

Countries citing papers authored by Heather Thorne

Since Specialization
Citations

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

Fields of papers citing papers by Heather Thorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Thorne

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Thorne. A scholar is included among the top collaborators of Heather Thorne 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 Heather Thorne. Heather Thorne 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.
Devereux, Lisa, Peter H. Watson, Anne‐Marie Mes‐Masson, et al.. (2019). A Review of International Biobanks and Networks: Success Factors and Key Benchmarks—A 10-Year Retrospective Review. Biopreservation and Biobanking. 17(6). 512–519. 8 indexed citations
2.
Christie, Elizabeth L., Swetansu Pattnaik, Jessica A. Beach, et al.. (2019). Multiple ABCB1 transcriptional fusions in drug resistant high-grade serous ovarian and breast cancer. Nature Communications. 10(1). 1295–1295. 136 indexed citations
3.
Savas, Peter, Zhi L. Teo, Christophe Lefèvre, et al.. (2016). The Subclonal Architecture of Metastatic Breast Cancer: Results from a Prospective Community-Based Rapid Autopsy Program “CASCADE”. PLoS Medicine. 13(12). e1002204–e1002204. 83 indexed citations
4.
Parisot, John P., Heather Thorne, Andrew Fellowes, et al.. (2015). “Cancer 2015”: A Prospective, Population-Based Cancer Cohort—Phase 1: Feasibility of Genomics-Guided Precision Medicine in the Clinic. Journal of Personalized Medicine. 5(4). 354–369. 8 indexed citations
5.
Hunter, Sally M., Simone M. Rowley, David Clouston, et al.. (2015). Searching for candidate genes in familial BRCAX mutation carriers with prostate cancer. Urologic Oncology Seminars and Original Investigations. 34(3). 120.e9–120.e16. 4 indexed citations
6.
Whiley, Phillip J, Michael T. Parsons, Jennifer Leary, et al.. (2014). Multifactorial Likelihood Assessment of BRCA1 and BRCA2 Missense Variants Confirms That BRCA1:c.122A>G(p.His41Arg) Is a Pathogenic Mutation. PLoS ONE. 9(1). e86836–e86836. 20 indexed citations
7.
Risbridger, Gail P., Renea A. Taylor, David Clouston, et al.. (2014). Patient-derived Xenografts Reveal that Intraductal Carcinoma of the Prostate Is a Prominent Pathology in BRCA2 Mutation Carriers with Prostate Cancer and Correlates with Poor Prognosis. European Urology. 67(3). 496–503. 96 indexed citations
8.
Bolton, Damien, Yuan‐Tso Cheng, Jason Li, et al.. (2014). Altered significance of D ' A mico risk classification in patients with prostate cancer linked to a familial breast cancer (k C on F ab) cohort. British Journal of Urology. 116(2). 207–212. 8 indexed citations
9.
John, Esther M., Valerie McGuire, Duncan C. Thomas, et al.. (2013). Diagnostic Chest X-Rays and Breast Cancer Risk before Age 50 Years for BRCA1 and BRCA2 Mutation Carriers. Cancer Epidemiology Biomarkers & Prevention. 22(9). 1547–1556. 17 indexed citations
10.
Brennan, Kevin, Montserrat García‐Closas, Nick Orr, et al.. (2012). Intragenic ATM Methylation in Peripheral Blood DNA as a Biomarker of Breast Cancer Risk. Cancer Research. 72(9). 2304–2313. 118 indexed citations
12.
Wakefield, Claire E., Heather Thorne, Judy Kirk, et al.. (2012). Improving mutation notification when new genetic information is identified in research: a trial of two strategies in familial breast cancer. Genetics in Medicine. 15(3). 187–194. 8 indexed citations
13.
Thompson, Ella R., Maria Doyle, Georgina L. Ryland, et al.. (2012). Exome Sequencing Identifies Rare Deleterious Mutations in DNA Repair Genes FANCC and BLM as Potential Breast Cancer Susceptibility Alleles. PLoS Genetics. 8(9). e1002894–e1002894. 147 indexed citations
14.
Thorne, Heather, Gillian Mitchell, & Stephen B. Fox. (2011). kConFab: A Familial Breast Cancer Consortium Facilitating Research and Translational Oncology. JNCI Monographs. 2011(43). 79–81. 10 indexed citations
15.
Thorne, Heather, Eveline Niedermayr, Ivan Hoh, et al.. (2011). Decreased Prostate Cancer-Specific Survival of Men withBRCA2 Mutations from Multiple Breast Cancer Families. Cancer Prevention Research. 4(7). 1002–1010. 79 indexed citations
16.
Takano, Elena A., et al.. (2009). BRCA1 tumours correlate with a HIF-1α phenotype and have a poor prognosis through modulation of hydroxylase enzyme profile expression. British Journal of Cancer. 101(7). 1168–1174. 57 indexed citations
17.
Lim, Elgene, François Vaillant, Di Wu, et al.. (2009). Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers. Nature Medicine. 15(8). 907–913. 1048 indexed citations breakdown →
18.
Balleine, Rosemary L., Rajmohan Murali, A. Michael Bilous, et al.. (2006). Histopathological features of breast cancer in carriers of ATM gene variants. Histopathology. 49(5). 523–532. 14 indexed citations
19.
Scott, Clare L., et al.. (2003). Clinical, pathological and genetic features of women at high familial risk of breast cancer undergoing prophylactic mastectomy. Clinical Genetics. 64(2). 111–121. 18 indexed citations
20.
Osborne, Richard H., et al.. (2000). kConFab: a research resource of Australasian breast cancer families. The Medical Journal of Australia. 172(9). 463–464. 35 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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