Graham G. Giles

122.3k total citations · 4 hit papers
778 papers, 31.9k citations indexed

About

Graham G. Giles is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Graham G. Giles has authored 778 papers receiving a total of 31.9k indexed citations (citations by other indexed papers that have themselves been cited), including 257 papers in Oncology, 132 papers in Genetics and 128 papers in Molecular Biology. Recurrent topics in Graham G. Giles's work include Global Cancer Incidence and Screening (83 papers), Cancer Risks and Factors (83 papers) and Nutritional Studies and Diet (82 papers). Graham G. Giles is often cited by papers focused on Global Cancer Incidence and Screening (83 papers), Cancer Risks and Factors (83 papers) and Nutritional Studies and Diet (82 papers). Graham G. Giles collaborates with scholars based in Australia, United States and United Kingdom. Graham G. Giles's co-authors include Dallas R. English, John L. Hopper, Allison Hodge, Melissa C. Southey, Gianluca Severi, Margaret McCredie, Mark A. Jenkins, Robert J. MacInnis, Margaret Staples and Gillian S. Dite and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Graham G. Giles

765 papers receiving 31.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cancer risk in 680 000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians

2013 1.4k citations Graham G. Giles, James G. Dowty et al. profile →
The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle‐aged women in a study of iron supplementation

2000 559 citations Allison Hodge, Graham G. Giles et al. profile →
Non‐melanoma skin cancer in Australia: the 2002 national survey and trends since 1985

2006 517 citations Margaret Staples, Robin Marks et al. profile →
Iron-Overload–Related Disease inHFEHereditary Hemochromatosis

2008 494 citations Katrina J. Allen, Lyle C. Gurrin et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Graham G. Giles Australia	88	8.6k	5.8k	4.7k	4.5k	4.2k	778	31.9k
Wei Zheng United States	91	9.1k 1.1×	8.7k 1.5×	6.7k 1.4×	2.6k 0.6×	4.1k 1.0×	910	32.0k
John L. Hopper Australia	88	9.5k 1.1×	7.0k 1.2×	3.0k 0.6×	4.3k 0.9×	3.8k 0.9×	769	32.6k
Elisabete Weiderpass Sweden	75	8.0k 0.9×	3.5k 0.6×	4.5k 1.0×	2.7k 0.6×	2.6k 0.6×	508	26.8k
Leslie Bernstein United States	106	17.5k 2.0×	6.2k 1.1×	5.9k 1.3×	5.6k 1.2×	4.5k 1.1×	624	41.3k
Peter Boyle Italy	100	13.9k 1.6×	8.1k 1.4×	4.2k 0.9×	8.6k 1.9×	2.3k 0.5×	635	43.8k
Thomas E. Rohan United States	83	9.1k 1.1×	5.1k 0.9×	4.7k 1.0×	1.3k 0.3×	2.7k 0.6×	460	23.2k
Arthur Schatzkin United States	95	9.0k 1.0×	3.6k 0.6×	10.4k 2.2×	3.7k 0.8×	6.6k 1.6×	359	30.0k
Valerie Beral United Kingdom	84	9.7k 1.1×	3.3k 0.6×	5.7k 1.2×	1.9k 0.4×	3.6k 0.9×	343	33.2k
Robert N. Hoover United States	96	10.1k 1.2×	5.3k 0.9×	4.0k 0.9×	3.6k 0.8×	1.4k 0.3×	381	29.7k
Robert S. Sandler United States	86	8.1k 0.9×	3.8k 0.7×	3.0k 0.6×	4.2k 0.9×	2.3k 0.6×	519	33.2k

Countries citing papers authored by Graham G. Giles

Since Specialization

Citations

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

Fields of papers citing papers by Graham G. Giles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham G. Giles. 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 Graham G. Giles. The network helps show where Graham G. Giles may publish in the future.

Co-authorship network of co-authors of Graham G. Giles

This figure shows the co-authorship network connecting the top 25 collaborators of Graham G. Giles. A scholar is included among the top collaborators of Graham G. Giles 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 Graham G. Giles. Graham G. Giles 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

Takano, Elena A., Katie Meehan, Max Yan, et al.. (2023). Estrogen receptor beta expression in triple negative breast cancers is not associated with recurrence or survival. BMC Cancer. 23(1). 459–459. 4 indexed citations

Odutola, Michael K., Marina T. van Leeuwen, Fiona Bruinsma, et al.. (2023). Occupational exposure to extremely low-frequency magnetic fields and follicular lymphoma risk: a family case–control study. Occupational and Environmental Medicine. 80(10). 599–602.

Yang, Yi, Fiona Bruinsma, Anna K. Nowak, et al.. (2022). Physical activity and glioma: a case–control study with follow-up for survival. Cancer Causes & Control. 33(5). 749–757. 1 indexed citations

Dugué, Pierre‐Antoine, Julie K. Bassett, Ee Ming Wong, et al.. (2020). Biological Aging Measures Based on Blood DNA Methylation and Risk of Cancer: A Prospective Study. JNCI Cancer Spectrum. 5(1). 47 indexed citations

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

Dugué, Pierre‐Antoine, Julie K. Bassett, Roger L. Milne, et al.. (2020). DNA Methylation in Peripheral Blood and Risk of Gastric Cancer: A Prospective Nested Case–control Study. Cancer Prevention Research. 14(2). 233–240. 2 indexed citations

Doo, Nicole Wong, Victoria White, Kara Martin, et al.. (2019). The Use of Optimal Treatment for DLBCL Is Improving in All Age Groups and Is a Key Factor in Overall Survival, but Non-Clinical Factors Influence Treatment. Cancers. 11(7). 928–928. 4 indexed citations

Gaudet, Mia M., Gretchen L. Gierach, Brian D. Carter, et al.. (2018). Pooled Analysis of Nine Cohorts Reveals Breast Cancer Risk Factors by Tumor Molecular Subtype. Cancer Research. 78(20). 6011–6021. 61 indexed citations

Hofmann, Jonathan N., Brenda M. Birmann, Lauren R. Teras, et al.. (2016). Low Levels of Circulating Adiponectin Are Associated with Multiple Myeloma Risk in Overweight and Obese Individuals. Cancer Research. 76(7). 1935–1941. 27 indexed citations

10.

Alif, Sheikh Mohammad, Shyamali C. Dharmage, Geza Benke, et al.. (2016). Lifetime Occupational Exposure To Vapor, Gases/fumes, Dust And Risk Of COPD At 45 Years: The Tasmanian Longitudinal Health Study (tahs). American Journal of Respiratory and Critical Care Medicine. 193. 1 indexed citations

11.

MacInnis, Robert J., Daniel F. Schmidt, Enes Makalic, et al.. (2016). Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 25(12). 1619–1624. 3 indexed citations

12.

Cust, Anne Ε., Kristen Pickles, Chris Goumas, et al.. (2015). Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults. Cancer Epidemiology Biomarkers & Prevention. 24(4). 736–743. 12 indexed citations

13.

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

14.

Perret, Jennifer L., Shyamali C. Dharmage, Melanie C. Matheson, et al.. (2012). The Interplay Between the Effects of Lifetime Asthma, Smoking, and Atopy on Fixed Airflow Obstruction in Middle Age. American Journal of Respiratory and Critical Care Medicine. 187(1). 42–48. 91 indexed citations

15.

Wong, Ee Ming, Melissa C. Southey, Stephen B. Fox, et al.. (2010). Constitutional Methylation of the BRCA1 Promoter Is Specifically Associated with BRCA1 Mutation-Associated Pathology in Early-Onset Breast Cancer. Cancer Prevention Research. 4(1). 23–33. 120 indexed citations

16.

Cust, Anne Ε., Bruce K. Armstrong, Chris Goumas, et al.. (2010). Sunbed use during adolescence and early adulthood is associated with increased risk of early-onset melanoma. Pigment Cell & Melanoma Research. 23(6). 923. 4 indexed citations

17.

Allen, Katrina J., Lyle C. Gurrin, Clare C. Constantine, et al.. (2008). Iron-Overload–Related Disease inHFEHereditary Hemochromatosis. New England Journal of Medicine. 358(3). 221–230. 494 indexed citations breakdown →

18.

Simpson, J. A., et al.. (2006). Dietary Fat and Fish Consumption and its Association with Age-related Macular Degeneration. 13(3). 54. 1 indexed citations

19.

Marks, Robin, Margaret Staples, & Graham G. Giles. (1993). Trends in non‐melanocytic skin cancer treated in Australia: The second national survey. International Journal of Cancer. 53(4). 585–590. 209 indexed citations

20.

Mitchell, Heather, Gabriele Medley, & Graham G. Giles. (1990). Cervical cancers diagnosed after negative results on cervical cytology: perspective in the 1980s.. BMJ. 300(6740). 1622–1626. 56 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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