Wilfred Dang
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- General Health Professions top 10%
- Health Literacy and Information Accessibility
- Mobile Health and mHealth Applications
Papers in
-
- Radiology practices and education 3
- Radiomics and Machine Learning in Medical Imaging 1
-
- Aortic aneurysm repair treatments 2
- Co-authors
- Norman Buckley (1 shared paper)Victoria Borg Debono (1 shared paper)Lehana Thabane (1 shared paper)Matthew D. F. McInnes (8 shared papers)Ania Z. Kielar (4 shared papers)Chris J. Hong (3 shared papers)Andreas A. Giannopoulos (2 shared papers)Dimitrios Mitsouras (2 shared papers)
- Journals
- Journal of the American College of Radiology (2 papers)European Radiology (2 papers)PLoS ONE (2 papers)Tomography (1 paper)BMC Medicine (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Wilfred Dang
17 papers receiving 389 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 15
- General Health Professions 134
- Health 37
- Medical Terminology 1
- Statistics, Probability and Uncertainty 28
Countries citing papers authored by Wilfred Dang
This map shows the geographic impact of Wilfred Dang'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 Wilfred Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilfred Dang more than expected).
Fields of papers citing papers by Wilfred Dang
This network shows the impact of papers produced by Wilfred Dang. 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 Wilfred Dang. The network helps show where Wilfred Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wilfred Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 167 | |
| 2 | 2015 | 34 | |
| 3 | 2019 | 31 | |
| 4 | 2016 | 28 | |
| 5 | 2018 | 22 | |
| 6 | 2015 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2009 | 13 | |
| 10 | 2014 | 11 | |
| 11 | 2018 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 4 | |
| 17 | Morphometric analysis of anatomic variables affecting endovascular stent design in patients undergoing elective and emergency repair of endovascular abdominal aortic aneurysm. | 2010 | 2 |
About Wilfred Dang
Wilfred Dang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Statistics, Probability and Uncertainty, General Health Professions and Oncology, having authored 17 papers that have together received 402 indexed citations. Recurring topics across this work include Radiology practices and education (3 papers), Meta-analysis and systematic reviews (3 papers), Anatomy and Medical Technology (2 papers), Aortic aneurysm repair treatments (2 papers), COVID-19 and healthcare impacts (2 papers), Health Literacy and Information Accessibility (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Surgical Simulation and Training (1 paper). The work is most often cited by research in Health Informatics (15 citations), General Health Professions (134 citations), Health (37 citations), Medical Terminology (1 citation) and Statistics, Probability and Uncertainty (28 citations). Wilfred Dang has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Norman Buckley, Victoria Borg Debono, Lehana Thabane, Matthew D. F. McInnes, Ania Z. Kielar, Chris J. Hong, Andreas A. Giannopoulos, Dimitrios Mitsouras, Trevor A. McGrath and Claudio S. Cinà. Their work appears in journals such as Journal of the American College of Radiology, European Radiology, PLoS ONE, Tomography and BMC Medicine.
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.