Rosa Legood

4.8k total citations
92 papers, 3.1k citations indexed

About

Rosa Legood is a scholar working on Oncology, Genetics and Epidemiology. According to data from OpenAlex, Rosa Legood has authored 92 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 27 papers in Genetics and 26 papers in Epidemiology. Recurrent topics in Rosa Legood's work include BRCA gene mutations in cancer (27 papers), Global Cancer Incidence and Screening (24 papers) and Cervical Cancer and HPV Research (20 papers). Rosa Legood is often cited by papers focused on BRCA gene mutations in cancer (27 papers), Global Cancer Incidence and Screening (24 papers) and Cervical Cancer and HPV Research (20 papers). Rosa Legood collaborates with scholars based in United Kingdom, Australia and United States. Rosa Legood's co-authors include Alastair Gray, Sue Moss, Zia Sadique, Ranjit Manchanda, Paul Scuffham, Colin Cryer, Li Sun, Usha Menon, Isabel dos‐Santos‐Silva and Andrew Briggs and has published in prestigious journals such as The Lancet, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Rosa Legood

86 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosa Legood United Kingdom 33 961 717 611 444 333 92 3.1k
Joy Melnikow United States 35 1.3k 1.3× 1.2k 1.7× 179 0.3× 267 0.6× 659 2.0× 117 4.0k
Ambuj Kumar United States 37 685 0.7× 1.0k 1.4× 170 0.3× 321 0.7× 1.2k 3.6× 318 4.9k
Joan Austoker United Kingdom 34 583 0.6× 2.2k 3.1× 720 1.2× 203 0.5× 244 0.7× 91 3.8k
Miranda Pappas United States 25 300 0.3× 911 1.3× 473 0.8× 129 0.3× 104 0.3× 43 2.9k
George F. Sawaya United States 37 2.5k 2.6× 1.4k 2.0× 830 1.4× 174 0.4× 1.1k 3.4× 137 5.6k
David R. Lairson United States 35 994 1.0× 961 1.3× 148 0.2× 507 1.1× 441 1.3× 168 4.1k
Alfred O. Berg United States 27 440 0.5× 1.3k 1.8× 592 1.0× 389 0.9× 482 1.4× 63 4.2k
Annika Waldmann Germany 32 735 0.8× 2.2k 3.0× 139 0.2× 225 0.5× 390 1.2× 140 3.7k
Jane Wolstenholme United Kingdom 33 445 0.5× 440 0.6× 492 0.8× 897 2.0× 332 1.0× 107 3.5k
Sally Hunsberger United States 33 467 0.5× 775 1.1× 228 0.4× 240 0.5× 526 1.6× 98 4.4k

Countries citing papers authored by Rosa Legood

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Legood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Legood

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Legood. A scholar is included among the top collaborators of Rosa Legood 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 Rosa Legood. Rosa Legood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
5.
Xia, Wei, Michail Sideris, Oleg Blyuss, et al.. (2024). Utility Scores for Risk-Reducing Mastectomy and Risk-Reducing Salpingo-Oophorectomy: Mapping to EQ-5D. Cancers. 16(7). 1358–1358. 1 indexed citations
6.
Xia, Wei, Li Sun, Michail Sideris, et al.. (2024). Cost-Effectiveness of Gene-Specific Prevention Strategies for Ovarian and Breast Cancer. JAMA Network Open. 7(2). e2355324–e2355324. 8 indexed citations
7.
Angelis, Aris, Martin Harker, John Cairns, et al.. (2023). The Evolving Nature of Health Technology Assessment: A Critical Appraisal of NICE’s New Methods Manual. Value in Health. 26(10). 1503–1509. 8 indexed citations
8.
Greenley, Rachel Neff, et al.. (2023). Factors influencing the participation of groups identified as underserved in cervical cancer screening in Europe: a scoping review of the literature. Frontiers in Public Health. 11. 1144674–1144674. 11 indexed citations
9.
Xia, Wei, et al.. (2022). 2022-RA-1270-ESGO Quality of Life after risk-reducing surgery for breast and ovarian cancer prevention: a systematic review and meta-analysis. International Journal of Gynecological Cancer. 32. A383–A383. 1 indexed citations
10.
Xiong, Ran, et al.. (2022). Quality of Life after Risk-Reducing Hysterectomy for Endometrial Cancer Prevention: A Systematic Review. Cancers. 14(23). 5832–5832. 1 indexed citations
11.
Gaba, Faiza, Xin Yang, Dhivya Chandrasekaran, et al.. (2022). Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews. Diagnostics. 12(5). 1028–1028. 5 indexed citations
12.
Sun, Li, Bin Cui, Wei Xia, et al.. (2022). Cost-Effectiveness of Genetic Testing for All Women Diagnosed with Breast Cancer in China. Cancers. 14(7). 1839–1839. 10 indexed citations
13.
Xia, Wei, Michail Sideris, Li Sun, et al.. (2022). Cost-Effectiveness of Risk-Reducing Surgery for Breast and Ovarian Cancer Prevention: A Systematic Review. Cancers. 14(24). 6117–6117. 9 indexed citations
14.
Manchanda, Ranjit, Li Sun, Shreeya Patel, et al.. (2020). Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems. Cancers. 12(7). 1929–1929. 48 indexed citations
15.
Sun, Li, David Cromwell, David Dodwell, et al.. (2020). Costs of Early Invasive Breast Cancer in England Using National Patient-Level Data. Value in Health. 23(10). 1316–1323. 14 indexed citations
16.
Legood, Rosa, Charles Opondo, Emily Warren, et al.. (2020). Cost-Utility Analysis of a Complex Intervention to Reduce School-Based Bullying and Aggression: An Analysis of the Inclusive RCT. Value in Health. 24(1). 129–135. 10 indexed citations
17.
Bonell, Chris, Elizabeth Allen, Emily Warren, et al.. (2018). Initiating change in the school environment to reduce bullying and aggression: a cluster randomised controlled trial of the Learning Together (LT) intervention in English secondary schools. LSHTM Research Online (London School of Hygiene and Tropical Medicine). 1 indexed citations
18.
Pennington, Mark, Aleksandra Gentry‐Maharaj, Chloe Karpinskyj, et al.. (2016). Long-Term Secondary Care Costs of Endometrial Cancer: A Prospective Cohort Study Nested within the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS). PLoS ONE. 11(11). e0165539–e0165539. 10 indexed citations
19.
Manchanda, Ranjit, Rosa Legood, Leigh Pearce, & Usha Menon. (2015). Defining the risk threshold for risk reducing salpingo-oophorectomy for ovarian cancer prevention in low risk postmenopausal women. Gynecologic Oncology. 139(3). 487–494. 34 indexed citations
20.
Quentin, Wilm, Yaw Adu‐Sarkodie, Fern Terris‐Prestholt, et al.. (2011). Costs of cervical cancer screening and treatment using visual inspection with acetic acid (VIA) and cryotherapy in Ghana: the importance of scale. Tropical Medicine & International Health. 16(3). 379–389. 36 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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