Elizabeth A. Rafferty
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Artificial Intelligence top 1%
- Pathology and Forensic Medicine top 1%
- Cancer Research top 2%
- Co-authors
- Daniel B. KopansRichard H. MooreElkan F. HalpernSarah M. FriedewaldTao WuPhoebe E. FreerDave P. MillerDonna Plecha
- Topics
- Breast Lesions and Carcinomas (22 papers)AI in cancer detection (21 papers)Digital Radiography and Breast Imaging (21 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Elizabeth A. Rafferty
64 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 1.9k
- Pulmonary and Respiratory Medicine 1.8k
- Artificial Intelligence 1.4k
- Pathology and Forensic Medicine 839
- Cancer Research 838
Countries citing papers authored by Elizabeth A. Rafferty
This map shows the geographic impact of Elizabeth A. Rafferty'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 Elizabeth A. Rafferty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth A. Rafferty more than expected).
Fields of papers citing papers by Elizabeth A. Rafferty
This network shows the impact of papers produced by Elizabeth A. Rafferty. 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 Elizabeth A. Rafferty. The network helps show where Elizabeth A. Rafferty may publish in the future.
Co-authorship network of co-authors of Elizabeth A. Rafferty
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth A. Rafferty. A scholar is included among the top collaborators of Elizabeth A. Rafferty 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 Elizabeth A. Rafferty. Elizabeth A. Rafferty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 14 | |
| 3 | 44 | |
| 4 | 30 | |
| 5 | 22 | |
| 6 | 54 | |
| 7 | 18 | |
| 8 | 329 | |
| 9 | 107 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 53 | |
| 13 | 25 | |
| 14 | 37 | |
| 15 | 69 | |
| 16 | 123 | |
| 17 | 18 | |
| 18 | 238 | |
| 19 | 35 | |
| 20 | 76 |
About Elizabeth A. Rafferty
Elizabeth A. Rafferty is a scholar working on Pathology and Forensic Medicine, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 3.6k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (22 papers), AI in cancer detection (21 papers) and Digital Radiography and Breast Imaging (21 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Pulmonary and Respiratory Medicine (1.8k citations) and Cancer Research (838 citations). Elizabeth A. Rafferty has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Daniel B. Kopans, Richard H. Moore, Elkan F. Halpern, Sarah M. Friedewald, Tao Wu, Phoebe E. Freer, Dave P. Miller, Donna Plecha, Emily F. Conant and Debra S. Copit. Their work appears in journals such as New England Journal of Medicine, JAMA and Cancer.
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.