Kate Cuschieri

7.4k total citations · 1 hit paper
154 papers, 5.2k citations indexed

About

Kate Cuschieri is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Kate Cuschieri has authored 154 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Epidemiology, 58 papers in Molecular Biology and 54 papers in Surgery. Recurrent topics in Kate Cuschieri's work include Cervical Cancer and HPV Research (139 papers), Molecular Biology Techniques and Applications (51 papers) and Genital Health and Disease (43 papers). Kate Cuschieri is often cited by papers focused on Cervical Cancer and HPV Research (139 papers), Molecular Biology Techniques and Applications (51 papers) and Genital Health and Disease (43 papers). Kate Cuschieri collaborates with scholars based in United Kingdom, Belgium and Netherlands. Kate Cuschieri's co-authors include Heather Cubie, Kimberley Kavanagh, Marc Arbyn, Nicolas Wentzensen, Chris Robertson, Timothy Palmer, Mario Poljak, Catherine Moore, Kevin G. Pollock and Margaret Cruickshank and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Kate Cuschieri

151 papers receiving 5.1k 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.

Invasive cervical cancer incidence following bivalent human papillomavirus vaccination: a population-based observational study of age at immunization, dose, and deprivation

2024 66 citations Timothy Palmer, Kimberley Kavanagh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate Cuschieri United Kingdom	38	4.5k	1.8k	1.3k	875	816	154	5.2k
François Coutlée Canada	37	4.8k 1.1×	2.2k 1.2×	1.1k 0.9×	818 0.9×	991 1.2×	142	5.8k
Mark Schiffman United States	35	4.0k 0.9×	1.8k 1.0×	699 0.5×	773 0.9×	636 0.8×	60	4.6k
Silvia de Sanjosé Spain	34	4.0k 0.9×	2.1k 1.1×	724 0.6×	444 0.5×	1.2k 1.5×	96	5.1k
Lawrence Rozendaal Netherlands	43	5.3k 1.2×	2.3k 1.3×	1.1k 0.9×	1.3k 1.5×	1.4k 1.7×	81	6.0k
M. Concepción Bratti United States	29	4.1k 0.9×	1.8k 1.0×	697 0.5×	764 0.9×	717 0.9×	42	4.5k
Mark Schiffman United States	26	4.1k 0.9×	1.8k 1.0×	584 0.4×	665 0.8×	1.2k 1.4×	42	4.7k
Nubia Muñóz Spain	25	4.5k 1.0×	2.9k 1.6×	555 0.4×	619 0.7×	788 1.0×	52	5.7k
Thomas Iftner Germany	47	6.7k 1.5×	2.5k 1.4×	2.0k 1.5×	989 1.1×	2.1k 2.6×	197	8.4k
Feja J. Voorhorst Netherlands	44	4.1k 0.9×	2.2k 1.2×	831 0.6×	985 1.1×	1.1k 1.3×	77	5.6k
Heather Cubie United Kingdom	33	3.1k 0.7×	1.2k 0.7×	633 0.5×	484 0.6×	660 0.8×	104	3.6k

Countries citing papers authored by Kate Cuschieri

Since Specialization

Citations

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

Fields of papers citing papers by Kate Cuschieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Cuschieri

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

Mathews, Christopher, Alexandra Sargent, Kate Cuschieri, et al.. (2025). HPValidate—human papillomavirus testing with DNA and mRNA assays on self-collected samples in cervical screening: comparison of test characteristics on three self-sampling devices. British Journal of Cancer. 133(5). 665–673. 1 indexed citations

Latsuzbaia, Ardashel, Marianna Martinelli, Kate Cuschieri, et al.. (2024). Clinical accuracy of OncoPredict HPV Quantitative Typing (QT) assay on self-samples. Journal of Clinical Virology. 175. 105737–105737. 5 indexed citations

Rebolj, Matejka, Adam R. Brentnall, & Kate Cuschieri. (2024). Predictable changes in the accuracy of human papillomavirus tests after vaccination: review with implications for performance monitoring in cervical screening. British Journal of Cancer. 130(11). 1733–1743. 2 indexed citations

Cocuzza, Clementina, et al.. (2023). Clinical performance of the novel full‐genotyping OncoPredict HPV Quantitative Typing assay using the VALGENT framework. International Journal of Cancer. 154(3). 538–547. 4 indexed citations

Bhatia, Ramya, et al.. (2023). Influence of Resuspension Volume on Dry Sampling Devices Taken for Human Papillomavirus Testing: Implications for Self-Sampling. BioTechniques. 74(2). 77–84. 9 indexed citations

Brentnall, Adam R., Kate Cuschieri, Alexandra Sargent, Johannes Berkhof, & Matejka Rebolj. (2023). Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening. Journal of Clinical Epidemiology. 166. 111227–111227. 6 indexed citations

Poljak, Mario, Kate Cuschieri, Laia Alemany, & Alex Vorsters. (2023). Testing for Human Papillomaviruses in Urine, Blood, and Oral Specimens: an Update for the Laboratory. Journal of Clinical Microbiology. 61(8). e0140322–e0140322. 21 indexed citations

Cuschieri, Kate, et al.. (2022). Agreement between L1 and E6/E7-based assays for detection of high-risk HPV in cervical, oropharyngeal and penile cancers. Journal of Clinical Pathology. 76(7). 467–473. 7 indexed citations

Rebolj, Matejka, Kate Cuschieri, Christopher Mathews, et al.. (2022). Extension of cervical screening intervals with primary human papillomavirus testing: observational study of English screening pilot data. BMJ. 377. e068776–e068776. 22 indexed citations

10.

Rebolj, Matejka, Alexandra Sargent, Sisse Helle Njor, & Kate Cuschieri. (2022). Widening the offer of human papillomavirus self‐sampling to all women eligible for cervical screening: Make haste slowly. International Journal of Cancer. 153(1). 8–19. 18 indexed citations

11.

Mühr, Laila Sara Arroyo, et al.. (2022). Mapping HPV 16 Sub-Lineages in Anal Cancer and Implications for Disease Outcomes. Diagnostics. 12(12). 3222–3222. 2 indexed citations

12.

Traynor, Damien, Shiyamala Duraipandian, Ramya Bhatia, et al.. (2022). Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN). Cancers. 14(7). 1836–1836. 9 indexed citations

13.

Bhatia, Ramya, Jesper Bonde, Wim Quint, et al.. (2021). Papilloplex HR-HPV test has non-inferior clinical performance for detection of human papillomavirus infection: assessment using the VALGENT framework. Journal of Clinical Pathology. 76(3). 172–176.

14.

Rebolj, Matejka, Christopher Mathews, Francesca Pesola, et al.. (2021). Age‐specific outcomes from the first round of HPV screening in unvaccinated women: Observational study from the English cervical screening pilot. BJOG An International Journal of Obstetrics & Gynaecology. 129(8). 1278–1288. 15 indexed citations

15.

Lörincz, Attila T., Dorota Scibior‐Bentkowska, Gary M. Clifford, et al.. (2021). Clinical performance of methylation as a biomarker for cervical carcinoma in situ and cancer diagnosis: A worldwide study. International Journal of Cancer. 150(2). 290–302. 28 indexed citations

16.

Pan, Jiafeng, Kimberley Kavanagh, Kate Cuschieri, et al.. (2019). Increased risk of HPV‐associated genital cancers in men and women as a consequence of pre‐invasive disease. International Journal of Cancer. 145(2). 427–434. 16 indexed citations

17.

Arbyn, Marc, Eliana Peeters, Ina Benoy, et al.. (2018). VALHUDES: A protocol for validation of human papillomavirus assays and collection devices for HPV testing on self-samples and urine samples. Journal of Clinical Virology. 107. 52–56. 84 indexed citations

18.

Bhatia, Ramya, Heather Cubie, Kimberley Kavanagh, et al.. (2018). Development of an in-house ELISA to detect anti-HPV16-L1 antibodies in serum and dried blood spots. Journal of Virological Methods. 264. 55–60. 5 indexed citations

19.

Conway, David I., Chris Robertson, Heather Gray, et al.. (2016). Human Papilloma Virus (HPV) Oral Prevalence in Scotland (HOPSCOTCH): A Feasibility Study in Dental Settings. PLoS ONE. 11(11). e0165847–e0165847. 42 indexed citations

20.

Stanczuk, Grazyna, et al.. (2015). Cobas 4800 HPV detection in the cervical, vaginal and urine samples of women with high-grade CIN before and after treatment. Journal of Clinical Pathology. 68(7). 567–570. 32 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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