Elaine Lee
- Health Informatics top 0.5%
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- MRI in cancer diagnosis 24
- Radiomics and Machine Learning in Medical Imaging 24
- Infectious Diseases top 2%
- Obstetrics and Gynecology top 2%
- Endometrial and Cervical Cancer Treatments 20
-
- Ovarian cancer diagnosis and treatment 14
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- Lymphoma Diagnosis and Treatment 9
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- Intraperitoneal and Appendiceal Malignancies 7
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- CNS Lymphoma Diagnosis and Treatment 5
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- Urticaria and Related Conditions 5
- Co-authors
- Pek‐Lan KhongChristine Shing-Yen LoMichael KuoMing‐Yen NgMacy Mei‐Sze LuiK.W. ChiuTina LamSiu Ting Leung
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- European Radiology (9 papers)Nuclear Medicine Communications (5 papers)Academic Radiology (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Elaine Lee
104 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Health Informatics 229
- Radiology, Nuclear Medicine and Imaging 1.9k
- Critical Care and Intensive Care Medicine 314
- Infectious Diseases 768
- Obstetrics and Gynecology 265
Countries citing papers authored by Elaine Lee
This map shows the geographic impact of Elaine Lee'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 Elaine Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Lee more than expected).
Fields of papers citing papers by Elaine Lee
This network shows the impact of papers produced by Elaine Lee. 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 Elaine Lee. The network helps show where Elaine Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elaine Lee, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 103 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 13 | |
| 16 | 2019 | 20 | |
| 17 | 2015 | 30 | |
| 18 | 2011 | 4 | |
| 19 | 2000 | 136 | |
| 20 | 1999 | 67 |
About Elaine Lee
Elaine Lee is a scholar working on Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 110 papers that have together received 3.6k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (24 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Endometrial and Cervical Cancer Treatments (20 papers), Ovarian cancer diagnosis and treatment (14 papers), Lymphoma Diagnosis and Treatment (9 papers), Intraperitoneal and Appendiceal Malignancies (7 papers), CNS Lymphoma Diagnosis and Treatment (5 papers) and Urticaria and Related Conditions (5 papers). The work is most often cited by research in Health Informatics (229 citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Critical Care and Intensive Care Medicine (314 citations). Elaine Lee has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Pek‐Lan Khong, Christine Shing-Yen Lo, Michael Kuo, Ming‐Yen Ng, Macy Mei‐Sze Lui, K.W. Chiu, Tina Lam, Siu Ting Leung, Jonan Chun Yin Lee and Eric Yuk Fai Wan. Their work appears in journals such as European Radiology, Nuclear Medicine Communications, Academic Radiology, Journal of Magnetic Resonance Imaging and Korean 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.