Elizabeth Le
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 6
- Cardiac Imaging and Diagnostics 6
- MRI in cancer diagnosis 2
- Co-authors
- Fiona J. GilbertSarah HickmanJian-Ping BinSanjiv KaulKevin WeiYuan HuangMatthew CogginsYanzhong Wang
- Journals
- Circulation (2 papers)Open Heart (1 paper)Scientific Reports (1 paper)Circulation Cardiovascular Imaging (1 paper)Clinical Radiology (1 paper)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Elizabeth Le
22 papers receiving 812 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 88
- Radiology, Nuclear Medicine and Imaging 483
- Pulmonary and Respiratory Medicine 225
- Cardiology and Cardiovascular Medicine 147
- Artificial Intelligence 186
Countries citing papers authored by Elizabeth Le
This map shows the geographic impact of Elizabeth Le'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 Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth Le more than expected).
Fields of papers citing papers by Elizabeth Le
This network shows the impact of papers produced by Elizabeth Le. 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 Le. The network helps show where Elizabeth Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Elizabeth Le, 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 | 2024 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 82 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 0 | |
| 11 | 2019 | 42 | |
| 12 | 2019 | 191 | |
| 13 | 2019 | 27 | |
| 14 | 2018 | 31 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 10 | |
| 17 | 2010 | 29 | |
| 18 | 2002 | 38 | |
| 19 | 2001 | 191 | |
| 20 | 2001 | 11 |
About Elizabeth Le
Elizabeth Le is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Emergency Medicine, having authored 24 papers that have together received 826 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Health and Disease Prevention (4 papers), Acute Ischemic Stroke Management (3 papers), MRI in cancer diagnosis (2 papers), Cardiovascular Disease and Adiposity (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (88 citations), Radiology, Nuclear Medicine and Imaging (483 citations), Pulmonary and Respiratory Medicine (225 citations), Cardiology and Cardiovascular Medicine (147 citations) and Artificial Intelligence (186 citations). Elizabeth Le has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Fiona J. Gilbert, Sarah Hickman, Jian-Ping Bin, Sanjiv Kaul, Kevin Wei, Yuan Huang, Matthew Coggins, Yanzhong Wang, James H.F. Rudd and Jason M. Tarkin. Their work appears in journals such as Circulation, Open Heart, Scientific Reports, Circulation Cardiovascular Imaging and Clinical 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.