Susan Astley
- Artificial Intelligence top 0.5%
- Oncology top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Caroline BoggisElaine F. HarknessFiona J. GilbertD. Gareth EvansI. HuttDibendu BetalEmmanuel A. StamatakisPM Taylor
- Topics
- AI in cancer detection (61 papers)Digital Radiography and Breast Imaging (53 papers)Global Cancer Incidence and Screening (47 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- United KingdomSaudi ArabiaUnited States
In The Last Decade
Susan Astley
89 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 1.9k
- Oncology 1.1k
- Radiology, Nuclear Medicine and Imaging 990
- Pulmonary and Respiratory Medicine 979
- Computer Vision and Pattern Recognition 761
Countries citing papers authored by Susan Astley
This map shows the geographic impact of Susan Astley'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 Susan Astley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Astley more than expected).
Fields of papers citing papers by Susan Astley
This network shows the impact of papers produced by Susan Astley. 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 Susan Astley. The network helps show where Susan Astley may publish in the future.
Co-authorship network of co-authors of Susan Astley
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Astley. A scholar is included among the top collaborators of Susan Astley 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 Susan Astley. Susan Astley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 49 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 71 | |
| 10 | Appearance and Understanding of Digital Breast Tomosynthesis Images. | 1 |
| 11 | 175 | |
| 12 | 32 | |
| 13 | 93 | |
| 14 | Digital Breast Tomosynthesis | 8 |
| 15 | 195 | |
| 16 | 37 | |
| 17 | 2 | |
| 18 | 71 | |
| 19 | 94 | |
| 20 | 3 |
About Susan Astley
Susan Astley is a scholar working on Artificial Intelligence, Oncology and Pulmonary and Respiratory Medicine, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include AI in cancer detection (61 papers), Digital Radiography and Breast Imaging (53 papers) and Global Cancer Incidence and Screening (47 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Radiology, Nuclear Medicine and Imaging (990 citations) and Oncology (1.1k citations). Susan Astley has collaborated with scholars based in United Kingdom, Saudi Arabia and United States. Frequent co-authors include Caroline Boggis, Elaine F. Harkness, Fiona J. Gilbert, D. Gareth Evans, I. Hutt, Dibendu Betal, Emmanuel A. Stamatakis, PM Taylor, James Parker and John Suckling. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Scientific Reports.
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.