Niall Moore
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Computer Vision and Pattern Recognition top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Co-authors
- Paul HaytonMichael BradyLionel TarassenkoSusan HusonChristian BehrenbruchPaul A. ArmitageAndrew SlaterPeter K. Panegyres
- Topics
- MRI in cancer diagnosis (7 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Medical Imaging Techniques and Applications (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionCancer Research
- Journals
- The LancetCirculationBrain
- Partner nations
- United KingdomUnited States
In The Last Decade
Niall Moore
20 papers receiving 525 citations
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 325
- Surgery 119
- Computer Vision and Pattern Recognition 111
- Pulmonary and Respiratory Medicine 58
- Artificial Intelligence 57
Countries citing papers authored by Niall Moore
This map shows the geographic impact of Niall Moore'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 Niall Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niall Moore more than expected).
Fields of papers citing papers by Niall Moore
This network shows the impact of papers produced by Niall Moore. 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 Niall Moore. The network helps show where Niall Moore may publish in the future.
Co-authorship network of co-authors of Niall Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Niall Moore. A scholar is included among the top collaborators of Niall Moore 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 Niall Moore. Niall Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 60 | |
| 11 | 44 | |
| 12 | 40 | |
| 13 | The natural history of cerebellar hemangioblastomas in von Hippel-Lindau disease. | 57 |
| 14 | 10 | |
| 15 | 10 | |
| 16 | 37 | |
| 17 | 111 | |
| 18 | 31 | |
| 19 | 15 | |
| 20 | 67 |
About Niall Moore
Niall Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Emergency Medicine and Gastroenterology, having authored 20 papers that have together received 548 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (325 citations), Computer Vision and Pattern Recognition (111 citations) and Cancer Research (57 citations). Niall Moore has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Paul Hayton, Michael Brady, Lionel Tarassenko, Susan Huson, Christian Behrenbruch, Paul A. Armitage, Andrew Slater, Michael Brady, Peter K. Panegyres and Michael Donaghy. Their work appears in journals such as The Lancet, Circulation and Brain.
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.