Louise Wilkinson
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Cancer Research top 10%
- Co-authors
- Toral GathaniNisha SharmaVal ThomasRosalind Given-WilsonSue HudsonR A ShintonIvan J. PerryD G Beevers
- Topics
- AI in cancer detection (26 papers)Digital Radiography and Breast Imaging (23 papers)Breast Lesions and Carcinomas (9 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Louise Wilkinson
41 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Oncology 378
- Pulmonary and Respiratory Medicine 284
- Radiology, Nuclear Medicine and Imaging 272
- Artificial Intelligence 265
- Cancer Research 264
Countries citing papers authored by Louise Wilkinson
This map shows the geographic impact of Louise Wilkinson'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 Louise Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louise Wilkinson more than expected).
Fields of papers citing papers by Louise Wilkinson
This network shows the impact of papers produced by Louise Wilkinson. 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 Louise Wilkinson. The network helps show where Louise Wilkinson may publish in the future.
Co-authorship network of co-authors of Louise Wilkinson
This figure shows the co-authorship network connecting the top 25 collaborators of Louise Wilkinson. A scholar is included among the top collaborators of Louise Wilkinson 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 Louise Wilkinson. Louise Wilkinson 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 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 33 | |
| 12 | 4 | |
| 13 | 82 | |
| 14 | 32 | |
| 15 | 7 | |
| 16 | An ontology for breast radiologist training | 1 |
| 17 | Distributed Intelligent Learning Environment for Screening Mammography | 2 |
| 18 | 48 | |
| 19 | 13 | |
| 20 | 57 |
About Louise Wilkinson
Louise Wilkinson is a scholar working on Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (26 papers), Digital Radiography and Breast Imaging (23 papers) and Breast Lesions and Carcinomas (9 papers). The work is most often cited by research in Health Informatics (36 citations), Cancer Research (264 citations) and Oncology (378 citations). Louise Wilkinson has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Toral Gathani, Nisha Sharma, Val Thomas, Rosalind Given-Wilson, Sue Hudson, R A Shinton, Ivan J. Perry, D G Beevers, Samantha L. Heller and Henry Potts. Their work appears in journals such as British Journal of Cancer, Physics in Medicine and Biology and Medical Physics.
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.