Gillian S. Dite

8.7k total citations
114 papers, 3.7k citations indexed

About

Gillian S. Dite is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Gillian S. Dite has authored 114 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Genetics, 53 papers in Oncology and 25 papers in Molecular Biology. Recurrent topics in Gillian S. Dite's work include BRCA gene mutations in cancer (46 papers), Global Cancer Incidence and Screening (34 papers) and Genetic Associations and Epidemiology (21 papers). Gillian S. Dite is often cited by papers focused on BRCA gene mutations in cancer (46 papers), Global Cancer Incidence and Screening (34 papers) and Genetic Associations and Epidemiology (21 papers). Gillian S. Dite collaborates with scholars based in Australia, New Zealand and United States. Gillian S. Dite's co-authors include Graham G. Giles, John L. Hopper, Melissa C. Southey, Margaret McCredie, Deon J. Venter, Jennifer Stone, Dallas R. English, Mark A. Jenkins, Norman F. Boyd and Anna M. Chiarelli and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Gillian S. Dite

111 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gillian S. Dite Australia	34	1.7k	1.5k	973	853	743	114	3.7k
Jonine L. Bernstein United States	33	1.4k 0.8×	1.1k 0.8×	875 0.9×	1.4k 1.6×	574 0.8×	138	3.7k
Lisa Bailey United States	25	1.4k 0.8×	749 0.5×	1.5k 1.5×	896 1.1×	328 0.4×	61	3.9k
Laura Baglietto Australia	37	805 0.5×	1.7k 1.2×	1.3k 1.4×	901 1.1×	533 0.7×	116	4.3k
Deborah J. Thompson United Kingdom	36	3.2k 1.9×	1.4k 0.9×	2.3k 2.4×	1.6k 1.8×	599 0.8×	95	6.1k
Kerstin Sandelin Sweden	40	1.1k 0.7×	2.4k 1.6×	1.2k 1.2×	2.1k 2.5×	520 0.7×	109	5.8k
Larissa A. Korde United States	27	810 0.5×	1.7k 1.2×	764 0.8×	1.0k 1.2×	767 1.0×	81	3.7k
Sei Hyun Ahn South Korea	36	758 0.5×	2.2k 1.5×	952 1.0×	1.9k 2.2×	639 0.9×	238	4.7k
Byung Ho Son South Korea	34	596 0.4×	1.9k 1.3×	780 0.8×	1.6k 1.8×	1.2k 1.6×	262	4.6k
Xiaohong R. Yang United States	28	483 0.3×	1.2k 0.8×	788 0.8×	866 1.0×	555 0.7×	106	2.7k
Jonathan P. Tyrer United Kingdom	23	893 0.5×	811 0.6×	598 0.6×	485 0.6×	310 0.4×	42	2.3k

Countries citing papers authored by Gillian S. Dite

Since Specialization

Citations

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

Fields of papers citing papers by Gillian S. Dite

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gillian S. Dite. 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 Gillian S. Dite. The network helps show where Gillian S. Dite may publish in the future.

Co-authorship network of co-authors of Gillian S. Dite

This figure shows the co-authorship network connecting the top 25 collaborators of Gillian S. Dite. A scholar is included among the top collaborators of Gillian S. Dite 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 Gillian S. Dite. Gillian S. Dite 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

Goudey, Benjamin, et al.. (2025). A survey on deep learning for polygenic risk scores. Briefings in Bioinformatics. 26(4). 1 indexed citations

Li, Shuai, Gillian S. Dite, Robert J. MacInnis, et al.. (2024). Causation and familial confounding as explanations for the associations of polygenic risk scores with breast cancer: Evidence from innovative ICE FALCON and ICE CRISTAL analyses. Genetic Epidemiology. 48(8). 401–413. 3 indexed citations

Nguyen, Tuong L., et al.. (2024). Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review. Cancer Epidemiology Biomarkers & Prevention. 33(8). 989–998. 1 indexed citations

Allman, Richard, Yi Mu, Gillian S. Dite, et al.. (2023). Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk. Breast Cancer Research and Treatment. 198(2). 335–347. 11 indexed citations

Spaeth, Erika L., Gillian S. Dite, John L. Hopper, & Richard Allman. (2023). Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population. Cancer Prevention Research. 16(5). 281–291. 6 indexed citations

Dite, Gillian S., Tuong L. Nguyen, Robert J. MacInnis, et al.. (2023). Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures. Cancer Epidemiology Biomarkers & Prevention. 33(2). 306–313. 1 indexed citations

Li, Shuai, Karen A. Mather, Tuong L. Nguyen, et al.. (2022). Early life affects late-life health through determining DNA methylation across the lifespan: A twin study. EBioMedicine. 77. 103927–103927. 19 indexed citations

Barreto, Marcos, Gillian S. Dite, Martha Hickey, et al.. (2021). Birthweight, gestational age and familial confounding in sex differences in infant mortality: a matched co-twin control study of Brazilian male-female twin pairs identified by population data linkage. International Journal of Epidemiology. 51(5). 1502–1510. 8 indexed citations

Dite, Gillian S., et al.. (2021). Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank. PLoS ONE. 16(9). e0251469–e0251469. 4 indexed citations

10.

Li, Shuai, Tuong L. Nguyen, Ee Ming Wong, et al.. (2020). Genetic and environmental causes of variation in epigenetic aging across the lifespan. Clinical Epigenetics. 12(1). 158–158. 34 indexed citations

11.

Starlard‐Davenport, Athena, Richard Allman, Gillian S. Dite, et al.. (2018). Validation of a genetic risk score for Arkansas women of color. PLoS ONE. 13(10). e0204834–e0204834. 13 indexed citations

12.

Nguyen, Tuong L., Ye Kyaw Aung, Shuai Li, et al.. (2018). Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds. Breast Cancer Research. 20(1). 152–152. 16 indexed citations

13.

Nguyen, Tuong L., Yoon‐Ho Choi, Ye Kyaw Aung, et al.. (2017). Breast Cancer Risk Associations with Digital Mammographic Density by Pixel Brightness Threshold and Mammographic System. Radiology. 286(2). 433–442. 25 indexed citations

14.

Hopper, John L., Tuong L. Nguyen, Jennifer Stone, et al.. (2016). Childhood body mass index and adult mammographic density measures that predict breast cancer risk. Breast Cancer Research and Treatment. 156(1). 163–170. 21 indexed citations

15.

MacInnis, Robert J., Adrian Bickerstaffe, Carmel Apicella, et al.. (2013). Prospective validation of the breast cancer risk prediction model BOADICEA and a batch-mode version BOADICEACentre. British Journal of Cancer. 109(5). 1296–1301. 36 indexed citations

16.

Dite, Gillian S., Enes Makalic, Daniel F. Schmidt, et al.. (2012). Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family Registry. Breast Cancer Research. 14(4). R122–R122. 6 indexed citations

17.

Dite, Gillian S., Jennifer Stone, Anna M. Chiarelli, et al.. (2011). Are genetic and environmental components of variance in mammographic density measures that predict breast cancer risk independent of within-twin pair differences in body mass index?. Breast Cancer Research and Treatment. 131(2). 553–559. 3 indexed citations

18.

Stone, Jennifer, Lyle C. Gurrin, Graham Byrnes, et al.. (2007). Mammographic Density and Candidate Gene Variants: A Twins and Sisters Study. Cancer Epidemiology Biomarkers & Prevention. 16(7). 1479–1484. 30 indexed citations

19.

Jenkins, Mark A., Laura Baglietto, Gillian S. Dite, et al.. (2002). After hMSH2 and hMLH1—what next? Analysis of three‐generational, population‐based, early‐onset colorectal cancer families. International Journal of Cancer. 102(2). 166–171. 31 indexed citations

20.

Spurdle, Amanda B., John L. Hopper, Xiaohong Chen, et al.. (2002). The BRCA2 372 HH Genotype Is Associated with Risk of Breast Cancer in Australian Women Under Age 60 Years 1. QUT ePrints (Queensland University of Technology). 8 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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