Danielle Toussie
Impact in
- Health Informatics top 5%
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- Ultrasound in Clinical Applications
Papers in
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- Pneumothorax, Barotrauma, Emphysema 4
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
- Lung Cancer Diagnosis and Treatment 2
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- COVID-19 diagnosis using AI 5
- Cardiac Imaging and Diagnostics 3
- Co-authors
- Adam Bernheim (9 shared papers)Michael Chung (9 shared papers)Adam Jacobi (9 shared papers)Nicholas Voutsinas (8 shared papers)Mark Finkelstein (7 shared papers)Mario A. Cedillo (6 shared papers)Corey Eber (8 shared papers)Sayan Manna (7 shared papers)
- Journals
- Clinics in Chest Medicine (2 papers)Radiology Artificial Intelligence (1 paper)Radiology (1 paper)Radiology Cardiothoracic Imaging (1 paper)Radiographics (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Danielle Toussie
17 papers receiving 411 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 30
- Critical Care and Intensive Care Medicine 64
- Radiology, Nuclear Medicine and Imaging 243
- Infectious Diseases 173
- Pulmonary and Respiratory Medicine 140
Countries citing papers authored by Danielle Toussie
This map shows the geographic impact of Danielle Toussie'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 Danielle Toussie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Toussie more than expected).
Fields of papers citing papers by Danielle Toussie
This network shows the impact of papers produced by Danielle Toussie. 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 Danielle Toussie. The network helps show where Danielle Toussie may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Toussie, 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 | 2020 | 230 | |
| 2 | 2020 | 52 | |
| 3 | 2020 | 43 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 18 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2021 | 2 | |
| 13 | Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images | 2020 | 2 |
| 14 | 2021 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 |
About Danielle Toussie
Danielle Toussie is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery and Critical Care and Intensive Care Medicine, having authored 18 papers that have together received 418 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (5 papers), Pericarditis and Cardiac Tamponade (4 papers), Pneumothorax, Barotrauma, Emphysema (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Cardiac Imaging and Diagnostics (3 papers), Ultrasound in Clinical Applications (3 papers), COVID-19 Clinical Research Studies (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (30 citations), Critical Care and Intensive Care Medicine (64 citations), Radiology, Nuclear Medicine and Imaging (243 citations), Infectious Diseases (173 citations) and Pulmonary and Respiratory Medicine (140 citations). Danielle Toussie has collaborated with scholars based in United States and Israel. Frequent co-authors include Adam Bernheim, Michael Chung, Adam Jacobi, Nicholas Voutsinas, Mark Finkelstein, Mario A. Cedillo, Corey Eber, Sayan Manna, Samuel Z. Maron and Yogesh Sean Gupta. Their work appears in journals such as Clinics in Chest Medicine, Radiology Artificial Intelligence, Radiology, Radiology Cardiothoracic Imaging and Radiographics.
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.