Sean Brown
Impact in
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- Advanced Radiotherapy Techniques
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
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- Lung Cancer Diagnosis and Treatment 6
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- Radiomics and Machine Learning in Medical Imaging 3
- Co-authors
- Corinne Faivre‐Finn (11 shared papers)Marianne Aznar (2 shared papers)Philip Whitehurst (1 shared paper)Kathryn Banfill (1 shared paper)D P Flamig (1 shared paper)S E Harms (1 shared paper)W. Phil Evans (1 shared paper)S. Harries (1 shared paper)
- Journals
- Radiotherapy and Oncology (3 papers)British Journal of Radiology (2 papers)Clinical Oncology (2 papers)American Journal of Infection Control (2 papers)Medical Physics (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sean Brown
22 papers receiving 312 citations
Peers
Comparison fields: 5 of 58
- Radiation 30
- Radiology, Nuclear Medicine and Imaging 67
- Cancer Research 35
- Oncology 55
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by Sean Brown
This map shows the geographic impact of Sean Brown'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 Sean Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Brown more than expected).
Fields of papers citing papers by Sean Brown
This network shows the impact of papers produced by Sean Brown. 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 Sean Brown. The network helps show where Sean Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 1994 | 41 | |
| 3 | 2016 | 30 | |
| 4 | 2013 | 28 | |
| 5 | 2014 | 19 | |
| 6 | 2018 | 16 | |
| 7 | 2021 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2016 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 1 |
About Sean Brown
Sean Brown is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Surgery and Public Health, Environmental and Occupational Health, having authored 22 papers that have together received 315 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (6 papers), Advanced Radiotherapy Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Multiple Sclerosis Research Studies (2 papers), Simulation-Based Education in Healthcare (1 paper), Surgical Simulation and Training (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Radiation (30 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Cancer Research (35 citations), Oncology (55 citations) and Pulmonary and Respiratory Medicine (62 citations). Sean Brown has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Corinne Faivre‐Finn, Marianne Aznar, Philip Whitehurst, Kathryn Banfill, D P Flamig, S E Harms, W. Phil Evans, S. Harries, Mike Boggild and Richard Ellis. Their work appears in journals such as Radiotherapy and Oncology, British Journal of Radiology, Clinical Oncology, American Journal of Infection Control 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.