Angela E. Raffle
Impact in
- Oncology top 10%
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Modeling and Simulation top 10%
Papers in
-
- Cervical Cancer and HPV Research 6
- Oncology 5
- Global Cancer Incidence and Screening 5
- Colorectal Cancer Screening and Detection 2
- Co-authors
- J. A. Muir Gray (5 shared papers)Jonathan J Deeks (1 shared paper)Paul Glasziou (1 shared paper)Allyson M Pollock (1 shared paper)Alexandra Barratt (1 shared paper)Robert G. Cumming (1 shared paper)Nicholas Hicks (1 shared paper)for the Evidence-Based Medicine Working Group (1 shared paper)
- Journals
- BMJ (3 papers)JAMA (1 paper)Cytopathology (1 paper)Health Expectations (1 paper)The Lancet (1 paper)
- Partner nations
- United KingdomAustraliaCanada
In The Last Decade
Angela E. Raffle
17 papers receiving 682 citations
Peers
Comparison fields: 5 of 92
- Oncology 246
- Modeling and Simulation 32
- General Health Professions 165
- Epidemiology 186
- Health 41
Countries citing papers authored by Angela E. Raffle
This map shows the geographic impact of Angela E. Raffle'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 Angela E. Raffle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela E. Raffle more than expected).
Fields of papers citing papers by Angela E. Raffle
This network shows the impact of papers produced by Angela E. Raffle. 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 Angela E. Raffle. The network helps show where Angela E. Raffle may publish in the future.
Co-authors
The 15 scholars most cited alongside Angela E. Raffle, 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 | 2001 | 135 | |
| 2 | 1999 | 133 | |
| 3 | 2007 | 103 | |
| 4 | 1995 | 101 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 44 | |
| 7 | 2019 | 41 | |
| 8 | 2007 | 39 | |
| 9 | 2019 | 29 | |
| 10 | 1990 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 1996 | 8 | |
| 13 | 2000 | 2 | |
| 14 | 2006 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 1992 | 1 | |
| 17 | Test, Test, Test; Lessons learned from experience with mass screening programmes: Advice Note for Independent SAGE | 2020 | 1 |
About Angela E. Raffle
Angela E. Raffle is a scholar working on Epidemiology, Oncology, Public Health, Environmental and Occupational Health, Infectious Diseases and General Health Professions, having authored 17 papers that have together received 713 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (6 papers), Global Cancer Incidence and Screening (5 papers), Health Promotion and Cardiovascular Prevention (2 papers), Colorectal Cancer Screening and Detection (2 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), Clinical practice guidelines implementation (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Oncology (246 citations), Modeling and Simulation (32 citations), General Health Professions (165 citations), Epidemiology (186 citations) and Health (41 citations). Angela E. Raffle has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include J. A. Muir Gray, Jonathan J Deeks, Paul Glasziou, Allyson M Pollock, Alexandra Barratt, Robert G. Cumming, Nicholas Hicks, for the Evidence-Based Medicine Working Group, Gordon Guyatt and Anne Mackie. Their work appears in journals such as BMJ, JAMA, Cytopathology, Health Expectations and The Lancet.
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.