Dania Daye
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Radiology practices and education
Papers in
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- Radiomics and Machine Learning in Medical Imaging 17
- Radiology practices and education 10
- MRI in cancer diagnosis 6
- Co-authors
- Kathryn E. Wellen (1 shared paper)Tobias Walker (2 shared papers)Despina Kontos (9 shared papers)Mark Rosen (5 shared papers)Ahmed Ashraf (5 shared papers)Carolyn Mies (6 shared papers)Efrén J. Flores (9 shared papers)Sara C. Gavenonis (3 shared papers)
- Journals
- Journal of the American College of Radiology (13 papers)Journal of Vascular and Interventional Radiology (8 papers)Cancers (7 papers)Academic Radiology (5 papers)BMC Medical Education (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Dania Daye
89 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 132
- Health Informatics 144
- Radiology, Nuclear Medicine and Imaging 559
- Cancer Research 268
- Pulmonary and Respiratory Medicine 334
- Gender Studies 90
Countries citing papers authored by Dania Daye
This map shows the geographic impact of Dania Daye'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 Dania Daye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dania Daye more than expected).
Fields of papers citing papers by Dania Daye
This network shows the impact of papers produced by Dania Daye. 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 Dania Daye. The network helps show where Dania Daye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dania Daye, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 299 | |
| 2 | 2018 | 146 | |
| 3 | 2014 | 126 | |
| 4 | 2008 | 89 | |
| 5 | 2022 | 77 | |
| 6 | 2015 | 75 | |
| 7 | 2017 | 75 | |
| 8 | 2012 | 60 | |
| 9 | 2015 | 49 | |
| 10 | 2017 | 45 | |
| 11 | 2015 | 44 | |
| 12 | 2018 | 43 | |
| 13 | 2017 | 43 | |
| 14 | 2017 | 39 | |
| 15 | 2021 | 31 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 29 | |
| 18 | 2023 | 28 | |
| 19 | 2024 | 25 | |
| 20 | 2022 | 25 |
About Dania Daye
Dania Daye is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Artificial Intelligence and Oncology, having authored 100 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), Radiology practices and education (10 papers), AI in cancer detection (8 papers), Diversity and Career in Medicine (8 papers), Artificial Intelligence in Healthcare and Education (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), MRI in cancer diagnosis (6 papers) and Health and Medical Research Impacts (5 papers). The work is most often cited by research in Health Informatics (144 citations), Radiology, Nuclear Medicine and Imaging (559 citations), Cancer Research (268 citations), Pulmonary and Respiratory Medicine (334 citations) and Gender Studies (90 citations). Dania Daye has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Kathryn E. Wellen, Tobias Walker, Despina Kontos, Mark Rosen, Ahmed Ashraf, Carolyn Mies, Efrén J. Flores, Sara C. Gavenonis, Michael D. Feldman and McKinley Glover. Their work appears in journals such as Journal of the American College of Radiology, Journal of Vascular and Interventional Radiology, Cancers, Academic Radiology and BMC Medical Education.
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.