Fleur Webster
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- Breast Cancer Treatment Studies 9
- Oncology top 10%
- Global Cancer Incidence and Screening 10
- Colorectal Cancer Screening and Detection 9
- Health top 10%
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- Breast Lesions and Carcinomas 4
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- Radiomics and Machine Learning in Medical Imaging 3
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- Endometrial and Cervical Cancer Treatments 3
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- AI in cancer detection 3
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- Sarcoma Diagnosis and Treatment 3
- Co-authors
- David RoderHelen ZorbasPhyllis ButowMegan BestLynley AldridgeIan OlverChristopher PykeJames Kollias
- Cited by
- Cancer ResearchOncologyHealth
- Journals
- Histopathology (10 papers)International Journal of Gynecological Pathology (4 papers)Gastroenterology (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Fleur Webster
34 papers receiving 548 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 148
- Oncology 258
- Health 57
- Public Health, Environmental and Occupational Health 133
- Pathology and Forensic Medicine 64
Countries citing papers authored by Fleur Webster
This map shows the geographic impact of Fleur Webster'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 Fleur Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fleur Webster more than expected).
Fields of papers citing papers by Fleur Webster
This network shows the impact of papers produced by Fleur Webster. 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 Fleur Webster. The network helps show where Fleur Webster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fleur Webster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 20 | |
| 14 | 2014 | 14 | |
| 15 | 2014 | 43 | |
| 16 | 2013 | 32 | |
| 17 | 2013 | 39 | |
| 18 | 2013 | 13 | |
| 19 | 2012 | 7 | |
| 20 | 2012 | 19 |
About Fleur Webster
Fleur Webster is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 559 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (10 papers), Colorectal Cancer Screening and Detection (9 papers), Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), AI in cancer detection (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (148 citations), Oncology (258 citations), Health (57 citations), Public Health, Environmental and Occupational Health (133 citations) and Pathology and Forensic Medicine (64 citations). Fleur Webster has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David Roder, Helen Zorbas, Phyllis Butow, Megan Best, Lynley Aldridge, Ian Olver, Christopher Pyke, James Kollias, Ian Campbell and David J. Walters. Their work appears in journals such as Histopathology, International Journal of Gynecological Pathology, Gastroenterology, British Journal of Cancer and Psycho-Oncology.
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.