Sue Hudson
- Education top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Peter HudsonLouise WilkinsonSamantha L. HellerStephen W. DuffyIsabel dos‐Santos‐SilvaBianca De StavolaDenise BeutelJulietta Patnick
- Topics
- Global Cancer Incidence and Screening (13 papers)AI in cancer detection (10 papers)Digital Radiography and Breast Imaging (10 papers)
- Partner nations
- United KingdomAustraliaPortugal
In The Last Decade
Sue Hudson
36 papers receiving 321 citations
Peers
Comparison fields: 5 of 77
- Education 123
- Oncology 122
- Pulmonary and Respiratory Medicine 84
- Artificial Intelligence 75
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by Sue Hudson
This map shows the geographic impact of Sue Hudson'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 Sue Hudson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Hudson more than expected).
Fields of papers citing papers by Sue Hudson
This network shows the impact of papers produced by Sue Hudson. 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 Sue Hudson. The network helps show where Sue Hudson may publish in the future.
Co-authorship network of co-authors of Sue Hudson
This figure shows the co-authorship network connecting the top 25 collaborators of Sue Hudson. A scholar is included among the top collaborators of Sue Hudson 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 Sue Hudson. Sue Hudson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 27 | |
| 12 | 17 | |
| 13 | 32 | |
| 14 | Mentors’ and mentees’ views about desirable attributes and practices for preservice teachers | 2 |
| 15 | Orienting preservice teachers towards gifted education : School university partnerships | 4 |
| 16 | 18 | |
| 17 | Preservice teachers’ views : Issues for learning to teach SOSE in an overcrowded curriculum | 1 |
| 18 | Preservice teachers’ perceptions of their middleschooling teacher preparation | 1 |
| 19 | Examining preservice teachers' preparedness for teaching art | 30 |
| 20 | Beginning teachers’ perceptions of their tertiary education preparedness for teaching | 1 |
About Sue Hudson
Sue Hudson is a scholar working on Music, Health Informatics and Visual Arts and Performing Arts, having authored 40 papers that have together received 362 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (13 papers), AI in cancer detection (10 papers) and Digital Radiography and Breast Imaging (10 papers). The work is most often cited by research in Health Informatics (12 citations), Visual Arts and Performing Arts (29 citations) and Music (16 citations). Sue Hudson has collaborated with scholars based in United Kingdom, Australia and Portugal. Frequent co-authors include Peter Hudson, Louise Wilkinson, Samantha L. Heller, Stephen W. Duffy, Isabel dos‐Santos‐Silva, Bianca De Stavola, Denise Beutel, Julietta Patnick, Judith Offman and Sarah Vinnicombe. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Radiology.
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.