Sian Taylor‐Phillips

6.9k total citations · 2 hit papers
125 papers, 3.3k citations indexed

About

Sian Taylor‐Phillips is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sian Taylor‐Phillips has authored 125 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 21 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sian Taylor‐Phillips's work include Global Cancer Incidence and Screening (27 papers), Colorectal Cancer Screening and Detection (14 papers) and AI in cancer detection (11 papers). Sian Taylor‐Phillips is often cited by papers focused on Global Cancer Incidence and Screening (27 papers), Colorectal Cancer Screening and Detection (14 papers) and AI in cancer detection (11 papers). Sian Taylor‐Phillips collaborates with scholars based in United Kingdom, United States and Netherlands. Sian Taylor‐Phillips's co-authors include Aileen Clarke, Karoline Freeman, Chris Stinton, Julia Geppert, Jonathan J Deeks, Clare Davenport, Mariska Leeflang, Devy Emperador, Lotty Hooft and René Spijker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Oncology.

In The Last Decade

Sian Taylor‐Phillips

118 papers receiving 3.3k citations

Hit Papers

Rapid, point-of-care antigen and molecular-based tests fo... 2020 2026 2022 2024 2020 2022 250 500 750

Peers

Sian Taylor‐Phillips
Kai Han China
Ruqin Gao China
Yanli Xu China
Cono Ariti United Kingdom
Ali Gholamrezanezhad United States
Lian Yang China
David E. Shapiro United States
Yan Bai China
Fei Tian China
Kai Han China
Sian Taylor‐Phillips
Citations per year, relative to Sian Taylor‐Phillips Sian Taylor‐Phillips (= 1×) peers Kai Han

Countries citing papers authored by Sian Taylor‐Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Sian Taylor‐Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sian Taylor‐Phillips. 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 Sian Taylor‐Phillips. The network helps show where Sian Taylor‐Phillips may publish in the future.

Co-authorship network of co-authors of Sian Taylor‐Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of Sian Taylor‐Phillips. A scholar is included among the top collaborators of Sian Taylor‐Phillips 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 Sian Taylor‐Phillips. Sian Taylor‐Phillips 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
1.
Geppert, Julia, Peter Auguste, Hesam Ghiasvand, et al.. (2025). Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation. Health Technology Assessment. 29(14). 1–234. 3 indexed citations
2.
Uthman, Olalekan A., Lena Al-Khudairy, Chidozie Nduka, et al.. (2025). Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study. Health Technology Assessment. 29(37). 1–18.
3.
Rebolj, Matejka, Adam R. Brentnall, Julia Geppert, et al.. (2025). Late-Stage Outcomes as Surrogates for Mortality in Cancer Screening Trials: A Systematic Review and Meta-analysis. Cancer Epidemiology Biomarkers & Prevention. 34(10). 1694–1709. 1 indexed citations
4.
Dinnes, Jacqueline, Gregory Maniatopoulos, Sian Taylor‐Phillips, et al.. (2024). Target Product Profile for a Machine Learning–Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study. JMIR Research Protocols. 13. e50568–e50568. 2 indexed citations
5.
Anderson, A. W., Cristina Visintin, Antonis C. Antoniou, et al.. (2024). Risk stratification in breast screening workshop. BMC Proceedings. 18(S19). 22–22. 1 indexed citations
6.
Taylor‐Phillips, Sian, Chris Stinton, Melina A. Kunar, et al.. (2024). Fatigue and vigilance in medical experts detecting breast cancer. Proceedings of the National Academy of Sciences. 121(11). e2309576121–e2309576121. 4 indexed citations
7.
Uthman, Olalekan A., Lena Al-Khudairy, Chidozie Nduka, et al.. (2023). Interventions for primary prevention of cardiovascular disease: umbrella review of systematic reviews. Health Technology Assessment. 29(37). 1–26. 1 indexed citations
8.
Uthman, Olalekan A., Rachel Court, Seun Anjorin, et al.. (2023). The potential impact of policies and structural interventions in reducing cardiovascular disease and mortality: a systematic review of simulation-based studies. Health Technology Assessment. 29(37). 1–32. 4 indexed citations
9.
Uthman, Olalekan A., Rachel Court, Lena Al-Khudairy, et al.. (2022). Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning. Health Technology Assessment. 29(37). 1–30. 3 indexed citations
10.
Mistry, Hema, Rachel Court, Lena Al-Khudairy, et al.. (2022). Determining optimal strategies for primary prevention of cardiovascular disease: systematic review of cost-effectiveness analyses in the United Kingdom. Health Technology Assessment. 29(37). 1–61. 2 indexed citations
11.
Png, May Ee, Sian Taylor‐Phillips, Nia Roberts, et al.. (2022). Benefits and harms adopted by health economic assessments evaluating antenatal and newborn screening programmes in OECD countries: A systematic review of 336 articles and reports. Social Science & Medicine. 314. 115428–115428. 6 indexed citations
12.
Stinton, Chris, Mary Jordan, Hannah Fraser, et al.. (2021). Testing strategies for Lynch syndrome in people with endometrial cancer: systematic reviews and economic evaluation. Health Technology Assessment. 25(42). 1–216. 10 indexed citations
13.
Cornford, Eleanor, et al.. (2021). Optimum screening mammography reading volumes: evidence from the NHS Breast Screening Programme. European Radiology. 31(9). 6909–6915. 8 indexed citations
14.
Freeman, Karoline, Karen Clements, Bridget Hilton, et al.. (2021). Breast screening atypia and subsequent development of cancer: protocol for an observational analysis of the Sloane database in England (Sloane atypia cohort study).. Apollo (University of Cambridge). 4 indexed citations
17.
Taylor‐Phillips, Sian, Sarah Berhane, Alice Sitch, et al.. (2020). Information given by websites selling home self-sampling COVID-19 tests: an analysis of accuracy and completeness. BMJ Open. 10(11). e042453–e042453. 7 indexed citations
18.
Uthman, Olalekan A., Lena Al-Khudairy, Chidozie Nduka, et al.. (2020). Determining optimal strategies for primary prevention of cardiovascular disease: systematic review, cost-effectiveness review and network meta-analysis protocol. Systematic Reviews. 9(1). 105–105. 9 indexed citations
19.
Johnson, Rebecca, Harbinder Sandhu, David R Ellard, et al.. (2019). Communicating biopsy results from breast screening assessment: current practice in English breast screening centres and staff perspectives of telephoning results. BMJ Open. 9(11). e028683–e028683. 2 indexed citations
20.
Parsons, Nick, et al.. (2018). Methods for Evaluation of medical prediction Models, Tests And Biomarkers (MEMTAB) 2018 Symposium. SHILAP Revista de lepidopterología. 2(S1). 3 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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