Donna D’Alessio
Impact in
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- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
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- Digital Radiography and Breast Imaging
Papers in
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- Breast Lesions and Carcinomas 6
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- Breast Cancer Treatment Studies 6
- Co-authors
- Elizabeth A. Morris (12 shared papers)Maxine S. Jochelson (6 shared papers)Chaya S. Moskowitz (2 shared papers)Delia M. Keating (4 shared papers)Christopher Comstock (3 shared papers)Janice S. Sung (4 shared papers)Jennifer B. Kaplan (2 shared papers)Malcolm C. Pike (1 shared paper)
- Journals
- Radiology (4 papers)American Journal of Roentgenology (2 papers)The Breast Journal (1 paper)European Radiology (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Donna D’Alessio
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 30
- Radiology, Nuclear Medicine and Imaging 138
- Pulmonary and Respiratory Medicine 172
- Cancer Research 57
- Pathology and Forensic Medicine 42
- Artificial Intelligence 59
Countries citing papers authored by Donna D’Alessio
This map shows the geographic impact of Donna D’Alessio'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 Donna D’Alessio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna D’Alessio more than expected).
Fields of papers citing papers by Donna D’Alessio
This network shows the impact of papers produced by Donna D’Alessio. 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 Donna D’Alessio. The network helps show where Donna D’Alessio may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna D’Alessio, 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 | 2019 | 133 | |
| 2 | 2016 | 83 | |
| 3 | 2017 | 36 | |
| 4 | 2022 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2018 | 7 | |
| 7 | 2013 | 6 | |
| 8 | 2020 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2025 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2018 | 1 |
About Donna D’Alessio
Donna D’Alessio is a scholar working on Pathology and Forensic Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 16 papers that have together received 328 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (6 papers), MRI in cancer diagnosis (5 papers), Digital Radiography and Breast Imaging (4 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Breast Implant and Reconstruction (1 paper), BRCA gene mutations in cancer (1 paper) and Lymphadenopathy Diagnosis and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (138 citations), Pulmonary and Respiratory Medicine (172 citations), Cancer Research (57 citations), Pathology and Forensic Medicine (42 citations) and Artificial Intelligence (59 citations). Donna D’Alessio has collaborated with scholars based in United States and Canada. Frequent co-authors include Elizabeth A. Morris, Maxine S. Jochelson, Chaya S. Moskowitz, Delia M. Keating, Christopher Comstock, Janice S. Sung, Jennifer B. Kaplan, Malcolm C. Pike, Debra A. Goldman and Cheng‐Han Lee. Their work appears in journals such as Radiology, American Journal of Roentgenology, The Breast Journal, European Radiology and Breast Cancer Research and Treatment.
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.