Dong Soo Lee
- Genetics top 1%
- Glioma Diagnosis and Treatment 7
- Mesenchymal stem cell research 5
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- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 4
- Biomaterials top 5%
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine 4
- Cancer Research top 10%
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- Lung Cancer Treatments and Mutations 11
- Lung Cancer Diagnosis and Treatment 8
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- Lung Cancer Research Studies 4
- Co-authors
- Hyun‐Jae KangHyo‐Soo KimYong‐Jin KimBon‐Kwon KooByung‐Hee OhKyung Woo ParkKyou Sup HanDaewon Sohn
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Dong Soo Lee
37 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Genetics 833
- Radiology, Nuclear Medicine and Imaging 413
- Biomaterials 228
- Surgery 748
- Cancer Research 181
Countries citing papers authored by Dong Soo Lee
This map shows the geographic impact of Dong Soo 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 Dong Soo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Soo Lee more than expected).
Fields of papers citing papers by Dong Soo Lee
This network shows the impact of papers produced by Dong Soo 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 Dong Soo Lee. The network helps show where Dong Soo Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dong Soo 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 | 5 | |
| 2 | 2019 | 17 | |
| 3 | 2018 | 10 | |
| 4 | 2017 | 7 | |
| 5 | 2017 | 9 | |
| 6 | 2015 | 5 | |
| 7 | 2015 | 35 | |
| 8 | 2015 | 43 | |
| 9 | 2014 | 8 | |
| 10 | 2014 | 17 | |
| 11 | 2014 | 34 | |
| 12 | 2013 | 28 | |
| 13 | 2012 | 125 | |
| 14 | 2012 | 6 | |
| 15 | 2011 | 5 | |
| 16 | 2009 | 1 | |
| 17 | 2007 | 81 | |
| 18 | 2002 | 89 | |
| 19 | Brain F-18 FDG PET for localization of epileptogenic zones in frontal lobe epilepsy: visual assessment and statistical parametric mapping analysis | 2001 | 1 |
| 20 | 2000 | 28 |
About Dong Soo Lee
Dong Soo Lee is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (11 papers), Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Glioma Diagnosis and Treatment (7 papers), Mesenchymal stem cell research (5 papers), Medical Imaging Techniques and Applications (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Genetics (833 citations), Radiology, Nuclear Medicine and Imaging (413 citations) and Biomaterials (228 citations). Dong Soo Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hyun‐Jae Kang, Hyo‐Soo Kim, Yong‐Jin Kim, Bon‐Kwon Koo, Byung‐Hee Oh, Kyung Woo Park, Kyou Sup Han, Daewon Sohn, Myung Chul Lee and Hyun‐Jai Cho. Their work appears in journals such as The Lancet, Circulation 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.