Danielle Toussie
- Radiology, Nuclear Medicine and Imaging top 5%
- Infectious Diseases top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Critical Care and Intensive Care Medicine top 10%
- Co-authors
- Adam BernheimMichael ChungAdam JacobiNicholas VoutsinasMark FinkelsteinSamuel Z. MaronSayan MannaMario A. Cedillo
- Topics
- COVID-19 diagnosis using AI (5 papers)Pericarditis and Cardiac Tamponade (4 papers)Pneumothorax, Barotrauma, Emphysema (4 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Journals
- RadiologyCHEST JournalRadiographics
- Partner nations
- United StatesIsrael
In The Last Decade
Danielle Toussie
17 papers receiving 411 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 243
- Infectious Diseases 173
- Pulmonary and Respiratory Medicine 140
- Oncology 91
- Critical Care and Intensive Care Medicine 64
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-authorship network of co-authors of Danielle Toussie
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Toussie. A scholar is included among the top collaborators of Danielle Toussie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle Toussie. Danielle Toussie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 41 | |
| 13 | 230 | |
| 14 | 52 | |
| 15 | 5 | |
| 16 | 43 | |
| 17 | 7 | |
| 18 | Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images | 2 |
About Danielle Toussie
Danielle Toussie is a scholar working on Health Informatics, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, 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) and Pneumothorax, Barotrauma, Emphysema (4 papers). The work is most often cited by research in Health Informatics (30 citations), Critical Care and Intensive Care Medicine (64 citations) and Radiology, Nuclear Medicine and Imaging (243 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, Samuel Z. Maron, Sayan Manna, Mario A. Cedillo, Corey Eber and Yogesh Sean Gupta. Their work appears in journals such as Radiology, CHEST Journal 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.