Sang Mi Lee
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- Radiomics and Machine Learning in Medical Imaging 33
- Medical Imaging Techniques and Applications 27
- MRI in cancer diagnosis 8
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis 11
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- Gastric Cancer Management and Outcomes 8
- Cancer Research top 10%
- Hepatology top 10%
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- Thyroid Cancer Diagnosis and Treatment 8
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- Orthopedic Infections and Treatments 5
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- Ecology and Conservation Studies 5
- Co-authors
- Jeong Won LeeSeok-Ki KimMoon-Soo LeeMyoung Won SonDae Ho LeeLinda J. Noble‐HaeussleinSteven D. RosenPhilip R. Weinstein
- Journals
- SHILAP Revista de lepidopterología (1 paper)International Journal of Molecular Sciences (2 papers)Nutrients (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sang Mi Lee
106 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 672
- Oncology 379
- Pulmonary and Respiratory Medicine 392
- Cancer Research 162
- Hepatology 64
Countries citing papers authored by Sang Mi Lee
This map shows the geographic impact of Sang Mi 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 Sang Mi Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Mi Lee more than expected).
Fields of papers citing papers by Sang Mi Lee
This network shows the impact of papers produced by Sang Mi 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 Sang Mi Lee. The network helps show where Sang Mi Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sang Mi 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 | 2024 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 7 | |
| 7 | 2018 | 4 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 15 | |
| 10 | 2017 | 9 | |
| 11 | 2016 | 39 | |
| 12 | 2015 | 10 | |
| 13 | 2015 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2013 | 18 | |
| 16 | 2012 | 2 | |
| 17 | Impacts of Ethnic Restaurant Image on Participate intention in Food Tourism | 2009 | 2 |
| 18 | 2009 | 31 | |
| 19 | The Initial Fundus Examination and Severity of Diabetic Retinopathy at a Primary Eye Clinic | 2005 | 8 |
| 20 | 2002 | 8 |
About Sang Mi Lee
Sang Mi Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (33 papers), Medical Imaging Techniques and Applications (27 papers), Inflammatory Biomarkers in Disease Prognosis (11 papers), MRI in cancer diagnosis (8 papers), Gastric Cancer Management and Outcomes (8 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Orthopedic Infections and Treatments (5 papers) and Ecology and Conservation Studies (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (672 citations), Oncology (379 citations) and Pulmonary and Respiratory Medicine (392 citations). Sang Mi Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jeong Won Lee, Seok-Ki Kim, Moon-Soo Lee, Myoung Won Son, Dae Ho Lee, Linda J. Noble‐Haeusslein, Steven D. Rosen, Philip R. Weinstein, Nico van Rooijen and Seung Hwan Moon. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Nutrients.
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.