Sungyoung Lee
- Immunology top 5%
- Biosimilars and Bioanalytical Methods 11
- Oncology top 5%
- Molecular Medicine top 5%
- Pharmacology top 5%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 18
- Gene expression and cancer classification 10
- Developmental Biology and Gene Regulation 8
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- Genetic Associations and Epidemiology 23
- Genetic Mapping and Diversity in Plants and Animals 10
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- Lung Cancer Treatments and Mutations 10
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Zigang DongJi‐Youn HanAnn M. BodeJin Soo LeeMee‐Hyun LeeTaesung ParkKi Won LeeHanyong Chen
- Cited by
- ImmunologyOncologyMolecular Medicine
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Journal of Biological Chemistry (4 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Sungyoung Lee
156 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 152
- Immunology 634
- Oncology 806
- Molecular Medicine 111
- Pharmacology 163
- Molecular Biology 1.2k
Countries citing papers authored by Sungyoung Lee
This map shows the geographic impact of Sungyoung 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 Sungyoung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungyoung Lee more than expected).
Fields of papers citing papers by Sungyoung Lee
This network shows the impact of papers produced by Sungyoung 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 Sungyoung Lee. The network helps show where Sungyoung Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sungyoung 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 18 | |
| 15 | 2014 | 91 | |
| 16 | 2013 | 110 | |
| 17 | 2013 | 62 | |
| 18 | 2013 | 30 | |
| 19 | 2012 | 88 | |
| 20 | 2012 | 0 |
About Sungyoung Lee
Sungyoung Lee is a scholar working on Genetics, Oncology and Molecular Biology, having authored 163 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (23 papers), Bioinformatics and Genomic Networks (18 papers), Biosimilars and Bioanalytical Methods (11 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Lung Cancer Treatments and Mutations (10 papers), Gene expression and cancer classification (10 papers), Developmental Biology and Gene Regulation (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology (634 citations), Oncology (806 citations) and Molecular Medicine (111 citations). Sungyoung Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Zigang Dong, Ji‐Youn Han, Ann M. Bode, Jin Soo Lee, Mee‐Hyun Lee, Taesung Park, Ki Won Lee, Hanyong Chen, Hyeong‐Seok Lim and Yong Hoon Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.