Gemma Cadby

6.6k total citations
42 papers, 776 citations indexed

About

Gemma Cadby is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Physiology. According to data from OpenAlex, Gemma Cadby has authored 42 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 13 papers in Oncology and 9 papers in Physiology. Recurrent topics in Gemma Cadby's work include Digital Radiography and Breast Imaging (8 papers), AI in cancer detection (6 papers) and Obstructive Sleep Apnea Research (5 papers). Gemma Cadby is often cited by papers focused on Digital Radiography and Breast Imaging (8 papers), AI in cancer detection (6 papers) and Obstructive Sleep Apnea Research (5 papers). Gemma Cadby collaborates with scholars based in Australia, United States and Canada. Gemma Cadby's co-authors include Eric K. Moses, Joseph Hung, Matthew Knuiman, Phillip E. Melton, John Beilby, Nigel McArdle, David R. Hillman, Laila Simpson, Tom Briffa and Nina S. McCarthy and has published in prestigious journals such as Nature Communications, CHEST Journal and PLoS Biology.

In The Last Decade

Gemma Cadby

38 papers receiving 763 citations

Peers

Gemma Cadby

PHYSI

GENET

EPIDE

CCM

Marco M. Hefti United States

Nancy L. Heard‐Costa United States

Simona Balestrini Italy

Przemysław Kaczmarek Poland

Claire Baker United States

Xiao Luo China

Lan Ni China

Deborah R. Davis United States

Adam L. Numis United States

Bertil Ekman Sweden

Marco M. Hefti United States

Gemma Cadby

286 ×1.2

168 ×0.8

PHYSI

151 ×1.1

GENET

165 ×1.4

EPIDE

55 ×0.5

CCM

Citations per year, relative to Gemma Cadby Gemma Cadby (= 1×) peers Marco M. Hefti

Countries citing papers authored by Gemma Cadby

Since Specialization

Citations

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

Fields of papers citing papers by Gemma Cadby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Cadby

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Cadby. A scholar is included among the top collaborators of Gemma Cadby 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 Gemma Cadby. Gemma Cadby 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

Bloomfield, Lauren, Hazel J Clothier, Gemma Cadby, et al.. (2025). Statistical Methods for Multi-jurisdictional Australian Vaccine Safety Investigations of Rare Adverse Events. Drug Safety. 49(3). 353–365.

Cadby, Gemma, Rosemary Korda, Paul Armstrong, et al.. (2024). Long COVID in a highly vaccinated but largely unexposed Australian population following the 2022 SARS‐CoV‐2 Omicron wave: a cross‐sectional survey. The Medical Journal of Australia. 220(6). 323–330. 12 indexed citations

Azzopardi, Maree, Richard Parsons, Gemma Cadby, et al.. (2024). Identifying Risk of Postoperative Cardiorespiratory Complications in OSA. CHEST Journal. 166(5). 1197–1208.

Marriott, Ross J., Bhajan Singh, Nigel McArdle, et al.. (2023). Does OSA Increase Risk for Cancer?. CHEST Journal. 164(4). 1042–1056. 8 indexed citations

Lloyd, Rachel, Gemma Cadby, Martha Hickey, et al.. (2023). Alternative methods to measure breast density in younger women. British Journal of Cancer. 128(9). 1701–1709. 5 indexed citations

Marriott, Ross J., Nigel McArdle, Bhajan Singh, et al.. (2022). The changing profile of obstructive sleep apnea: long term trends in characteristics of patients presenting for diagnostic polysomnography. Sleep Science. 15(S 01). 28–40. 4 indexed citations

Lund, Helen, et al.. (2022). The impact of breast density notification on rescreening rates within a population-based mammographic screening program. Breast Cancer Research. 24(1). 5–5. 4 indexed citations

Cadby, Gemma, Phillip E. Melton, Nina S. McCarthy, et al.. (2020). Heritability of 596 lipid species and genetic correlation with cardiovascular traits in the Busselton Family Heart Study. Journal of Lipid Research. 61(4). 537–545. 29 indexed citations

Beyene, Habtamu B., Gavriel Olshansky, Alexander Smith, et al.. (2020). High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies. PLoS Biology. 18(9). e3000870–e3000870. 98 indexed citations

10.

Lloyd, Rachel, Gemma Cadby, Andrew Redfern, et al.. (2019). The association between mammographic density and breast cancer risk in Western Australian Aboriginal women. Breast Cancer Research and Treatment. 176(1). 235–242. 3 indexed citations

11.

Wallace, Hilary, Gemma Cadby, Phillip E. Melton, et al.. (2018). Genetic influence on scar height and pliability after burn injury in individuals of European ancestry: A prospective cohort study. Burns. 45(3). 567–578. 5 indexed citations

12.

Cadby, Gemma, Phillip E. Melton, Nina S. McCarthy, et al.. (2017). Pleiotropy of cardiometabolic syndrome with obesity-related anthropometric traits determined using empirically derived kinships from the Busselton Health Study. Human Genetics. 137(1). 45–53. 8 indexed citations

13.

Ward, Sarah V., James G. Dowty, Rebecca J. Webster, et al.. (2015). The aggregation of early-onset melanoma in young Western Australian families. Cancer Epidemiology. 39(3). 346–352.

14.

McCarthy, Nina S., Phillip E. Melton, Gemma Cadby, et al.. (2014). Meta-analysis of human methylation data for evidence of sex-specific autosomal patterns. BMC Genomics. 15(1). 981–981. 80 indexed citations

15.

Jones, Rachel, Gemma Cadby, John Blangero, et al.. (2014). MACROD2 gene associated with autistic-like traits in a general population sample. Psychiatric Genetics. 24(6). 241–248. 45 indexed citations

16.

Peters, Kirsten E., John Beilby, Gemma Cadby, et al.. (2013). A comprehensive investigation of variants in genes encoding adiponectin (ADIPOQ) and its receptors (ADIPOR1/R2), and their association with serum adiponectin, type 2 diabetes, insulin resistance and the metabolic syndrome. BMC Medical Genetics. 14(1). 15–15. 68 indexed citations

17.

Jones, Rachel, Gemma Cadby, Phillip E. Melton, et al.. (2013). Genome-Wide Association Study of Autistic-Like Traits in a General Population Study of Young Adults. Frontiers in Human Neuroscience. 7. 658–658. 27 indexed citations

18.

Ward, Sarah V., Gemma Cadby, Jane Heyworth, et al.. (2012). Association of TGFβ1 and clinical factors with scar outcome following melanoma excision. Archives of Dermatological Research. 304(5). 343–351. 8 indexed citations

19.

Gully, Benjamin S., Jianli Zou, Gemma Cadby, et al.. (2012). Colloidal graphenes as heterogeneous additives to enhance protein crystal yield. Nanoscale. 4(17). 5321–5321. 13 indexed citations

20.

Ward, Sarah V., Gemma Cadby, Amanda Lee, et al.. (2011). The Western Australian Melanoma Health Study: Study design and participant characteristics. Cancer Epidemiology. 35(5). 423–431. 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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