Sara C. Gavenonis
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Oncology
- Cancer Research
- Co-authors
- Despina KontosAhmed AshrafDaniel B. KopansRichard H. MooreElkan F. HalpernCarolyn MiesDania DayeMark Rosen
- Topics
- AI in cancer detection (8 papers)MRI in cancer diagnosis (7 papers)Digital Radiography and Breast Imaging (7 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineArtificial Intelligence
- Partner nations
- United States
In The Last Decade
Sara C. Gavenonis
16 papers receiving 583 citations
Peers
Comparison fields: 5 of 43
- Radiology, Nuclear Medicine and Imaging 445
- Pulmonary and Respiratory Medicine 301
- Artificial Intelligence 290
- Oncology 105
- Cancer Research 89
Countries citing papers authored by Sara C. Gavenonis
This map shows the geographic impact of Sara C. Gavenonis'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 Sara C. Gavenonis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara C. Gavenonis more than expected).
Fields of papers citing papers by Sara C. Gavenonis
This network shows the impact of papers produced by Sara C. Gavenonis. 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 Sara C. Gavenonis. The network helps show where Sara C. Gavenonis may publish in the future.
Co-authorship network of co-authors of Sara C. Gavenonis
This figure shows the co-authorship network connecting the top 25 collaborators of Sara C. Gavenonis. A scholar is included among the top collaborators of Sara C. Gavenonis 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 Sara C. Gavenonis. Sara C. Gavenonis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 92 | |
| 2 | 126 | |
| 3 | 36 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 60 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 50 | |
| 11 | 10 | |
| 12 | 119 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | 51 |
About Sara C. Gavenonis
Sara C. Gavenonis is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 599 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), MRI in cancer diagnosis (7 papers) and Digital Radiography and Breast Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (445 citations), Pulmonary and Respiratory Medicine (301 citations) and Artificial Intelligence (290 citations). Sara C. Gavenonis has collaborated with scholars based in United States. Frequent co-authors include Despina Kontos, Ahmed Ashraf, Daniel B. Kopans, Richard H. Moore, Elkan F. Halpern, Carolyn Mies, Dania Daye, Mark Rosen, Michael D. Feldman and Zugui Zhang. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging and British Journal of Radiology.
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.