Caroline Rubin
- Pathology and Forensic Medicine top 10%
- Cancer Research
- Oncology
- Dermatology top 5%
- Urology top 5%
- Co-authors
- I TaylorJoanna FairhurstN.V. FreemanI. HydeJohn D. WilliamsReyer ZwiggelaarRobert MartíD. Ravichandran
- Topics
- AI in cancer detection (8 papers)Breast Lesions and Carcinomas (8 papers)Medical Image Segmentation Techniques (6 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Caroline Rubin
28 papers receiving 347 citations
Peers
Comparison fields: 5 of 67
- Pathology and Forensic Medicine 140
- Cancer Research 112
- Oncology 84
- Dermatology 77
- Urology 65
Countries citing papers authored by Caroline Rubin
This map shows the geographic impact of Caroline Rubin'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 Caroline Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Rubin more than expected).
Fields of papers citing papers by Caroline Rubin
This network shows the impact of papers produced by Caroline Rubin. 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 Caroline Rubin. The network helps show where Caroline Rubin may publish in the future.
Co-authorship network of co-authors of Caroline Rubin
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Rubin. A scholar is included among the top collaborators of Caroline Rubin 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 Caroline Rubin. Caroline Rubin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 2D-3D correspondence in mammography | 6 |
| 7 | 7 | |
| 8 | 2 | |
| 9 | Automatic mammographic registration: Towards the detection of abnormalities | 3 |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Management of screen-detected breast cancer: audit of the first 100 cases in the Southampton and Salisbury breast screening programme. | 5 |
| 14 | 11 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 74 | |
| 18 | 10 | |
| 19 | 12 | |
| 20 | 8 |
About Caroline Rubin
Caroline Rubin is a scholar working on Dermatology, Pathology and Forensic Medicine and Cancer Research, having authored 28 papers that have together received 376 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Breast Lesions and Carcinomas (8 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Urology (65 citations), Dermatology (77 citations) and Pathology and Forensic Medicine (140 citations). Caroline Rubin has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include I Taylor, Joanna Fairhurst, N.V. Freeman, I. Hyde, John D. Williams, Reyer Zwiggelaar, Robert Martí, D. Ravichandran, G T Royle and P.B. Guyer. Their work appears in journals such as British journal of surgery, Neurosurgery and Journal of Pediatric Surgery.
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.