Anne Ε. Cust

11.5k total citations · 2 hit papers
158 papers, 3.8k citations indexed

About

Anne Ε. Cust is a scholar working on Oncology, Dermatology and Genetics. According to data from OpenAlex, Anne Ε. Cust has authored 158 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Oncology, 45 papers in Dermatology and 28 papers in Genetics. Recurrent topics in Anne Ε. Cust's work include Cutaneous Melanoma Detection and Management (92 papers), Skin Protection and Aging (37 papers) and BRCA gene mutations in cancer (23 papers). Anne Ε. Cust is often cited by papers focused on Cutaneous Melanoma Detection and Management (92 papers), Skin Protection and Aging (37 papers) and BRCA gene mutations in cancer (23 papers). Anne Ε. Cust collaborates with scholars based in Australia, United States and United Kingdom. Anne Ε. Cust's co-authors include Christine M. Friedenreich, Bruce K. Armstrong, Graham J. Mann, Rachael L. Morton, David C. Whiteman, Jérôme Vignat, Melina Arnold, Esther de Vries, Salvatore Vaccarella and Freddie Bray and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Anne Ε. Cust

144 papers receiving 3.7k 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.

Global Burden of Cutaneous Melanoma in 2020 and Projections to 2040

2022 650 citations Anne Ε. Cust, David C. Whiteman et al. JAMA Dermatology profile →
Clinical Oncology Society of Australia position statement on exercise in cancer care

2018 280 citations Anne Ε. Cust et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anne Ε. Cust Australia	29	2.2k	871	611	462	429	158	3.8k
Catherine M. Olsen Australia	39	2.4k 1.1×	1.6k 1.8×	738 1.2×	1.2k 2.7×	507 1.2×	161	5.0k
Peter A. Kanetsky United States	37	1.7k 0.8×	942 1.1×	1.2k 2.0×	824 1.8×	271 0.6×	115	5.2k
Ornella Garrone Italy	27	2.0k 0.9×	243 0.3×	1.2k 1.9×	868 1.9×	592 1.4×	171	4.5k
Jonathan Kimmelman Canada	34	835 0.4×	524 0.6×	1.2k 2.0×	499 1.1×	1.5k 3.5×	177	5.2k
Reva Bhushan United States	16	757 0.3×	2.3k 2.6×	507 0.8×	520 1.1×	185 0.4×	17	4.5k
Charles E. Cox United States	45	2.7k 1.2×	272 0.3×	662 1.1×	225 0.5×	494 1.2×	116	6.7k
Adam Reich Poland	45	477 0.2×	4.2k 4.8×	429 0.7×	855 1.9×	393 0.9×	348	7.5k
Laura Baglietto Australia	37	1.7k 0.8×	104 0.1×	1.3k 2.2×	366 0.8×	523 1.2×	116	4.3k
Stacey L. Berg United States	41	1.7k 0.8×	112 0.1×	1.6k 2.7×	295 0.6×	710 1.7×	149	5.0k

Countries citing papers authored by Anne Ε. Cust

Since Specialization

Citations

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

Fields of papers citing papers by Anne Ε. Cust

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Ε. Cust. 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 Anne Ε. Cust. The network helps show where Anne Ε. Cust may publish in the future.

Co-authorship network of co-authors of Anne Ε. Cust

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Ε. Cust. A scholar is included among the top collaborators of Anne Ε. Cust 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 Anne Ε. Cust. Anne Ε. Cust 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

Lo, Serigne, Gabrielle Williams, Anne Ε. Cust, et al.. (2024). Long-term survival across Breslow thickness categories: findings from a population-based study of 210 042 Australian melanoma patients. JNCI Journal of the National Cancer Institute. 117(1). 152–156. 4 indexed citations

Collgros, Helena, Christoph Sinz, Serigne Lo, et al.. (2024). Remote cutaneous confocal microscopy: A multicentric prospective study evaluating diagnostic accuracy for melanoma and keratinocyte carcinoma in tertiary settings. Journal of the American Academy of Dermatology. 92(2). 252–260.

Ferguson, Peter M., Serigne Lo, Helena Collgros, et al.. (2024). In vivo reflectance confocal microscopy role for early to advanced lentigo maligna melanoma spectrum: A systematic review and pooled analysis. Journal of the European Academy of Dermatology and Venereology. 39(3). 555–565. 1 indexed citations

Norman, Richard, Amelia K. Smit, Anne Ε. Cust, et al.. (2024). Public Preferences for Genetic and Genomic Risk-Informed Chronic Disease Screening and Early Detection: A Systematic Review of Discrete Choice Experiments. Applied Health Economics and Health Policy. 23(3). 395–408. 3 indexed citations

Rahman, Md Mijanur, Michael David, Julia Steinberg, et al.. (2024). Association of optimism and social support with health‐related quality of life among Australian women cancer survivors – A cohort study. Asia-Pacific Journal of Clinical Oncology. 21(2). 221–231. 2 indexed citations

Guitera, Pascale, Anne Ε. Cust, Claire Galea, et al.. (2023). The association of dermatologist demographic density with melanoma survival in New South Wales, Australia. Australasian Journal of Dermatology. 64(3). 425–429.

Rapport, Frances, et al.. (2022). Systematic development of quality indicators for skin cancer management in primary care: a mixed-methods study protocol. BMJ Open. 12(6). e059829–e059829. 2 indexed citations

Smit, Amelia K., David Espinoza, Mary‐Anne Young, et al.. (2021). Knowledge, views and expectations for cancer polygenic risk testing in clinical practice: A cross‐sectional survey of health professionals. Clinical Genetics. 100(4). 430–439. 24 indexed citations

Steinberg, Julia, Mark M. Iles, Xiaochuan Wang, et al.. (2021). Independent evaluation of melanoma polygenic risk scores in UK and Australian prospective cohorts*. British Journal of Dermatology. 186(5). 823–834. 12 indexed citations

10.

Smith, Andrea L., Caroline G. Watts, Samuel Robinson, et al.. (2020). Knowledge and attitudes of Australian dermatologists towards sentinel lymph node biopsy for melanoma: a mixed methods study. Australasian Journal of Dermatology. 62(2). 168–176. 3 indexed citations

11.

Baade, Peter D., David C. Whiteman, Monika Janda, et al.. (2020). Long‐term deaths from melanoma according to tumor thickness at diagnosis. International Journal of Cancer. 147(5). 1391–1396. 23 indexed citations

12.

Read, Rebecca L., Christine Madronio, Anne Ε. Cust, et al.. (2018). Follow-Up Recommendations after Diagnosis of Primary Cutaneous Melanoma: A Population-Based Study in New South Wales, Australia. Annals of Surgical Oncology. 25(3). 617–625. 13 indexed citations

13.

Smit, Amelia K., Ainsley J. Newson, Megan Best, et al.. (2018). Distress, uncertainty, and positive experiences associated with receiving information on personal genomic risk of melanoma. European Journal of Human Genetics. 26(8). 1094–1100. 16 indexed citations

14.

Armstrong, Bruce K. & Anne Ε. Cust. (2017). Sun exposure and skin cancer, and the puzzle of cutaneous melanoma. Cancer Epidemiology. 48. 147–156. 88 indexed citations

15.

Armstrong, Bruce K., Elisabete Weiderpass, Eiliv Lund, et al.. (2016). Development and External Validation of a Melanoma Risk Prediction Model Based on Self-assessed Risk Factors. JAMA Dermatology. 152(8). 889–889. 44 indexed citations

16.

Smit, Amelia K., David Espinoza, Ainsley J. Newson, et al.. (2016). A Pilot Randomized Controlled Trial of the Feasibility, Acceptability, and Impact of Giving Information on Personalized Genomic Risk of Melanoma to the Public. Cancer Epidemiology Biomarkers & Prevention. 26(2). 212–221. 34 indexed citations

17.

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

18.

Smit, Amelia K., Louise Keogh, Ainsley J. Newson, et al.. (2015). Exploring the Potential Emotional and Behavioural Impact of Providing Personalised Genomic Risk Information to the Public: A Focus Group Study. Public Health Genomics. 18(5). 309–317. 14 indexed citations

19.

Watts, Caroline G., Anne Ε. Cust, Scott W. Menzies, et al.. (2014). Specialized Surveillance for Individuals at High Risk for Melanoma. JAMA Dermatology. 151(2). 178–178. 22 indexed citations

20.

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

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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