Suk Jun Lee
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Stock Market Forecasting Methods
Papers in
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 3
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- Breast Cancer Treatment Studies 3
- Co-authors
- Taehoon Chun (12 shared papers)Joonbeom Bae (7 shared papers)Chung‐Gyu Park (7 shared papers)Kyong Joo Oh (6 shared papers)Young Sik Lee (2 shared papers)Tae Yoon Kim (5 shared papers)Jae Joon Ahn (2 shared papers)Chang‐Yong Choi (5 shared papers)
- Journals
- Biotechnology Letters (5 papers)Journal of General Virology (2 papers)OncoTargets and Therapy (2 papers)International Journal of Dairy Technology (1 paper)Nature Communications (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Suk Jun Lee
31 papers receiving 345 citations
Peers
Comparison fields: 5 of 92
- Immunology 91
- Management Science and Operations Research 46
- Animal Science and Zoology 37
- Oncology 89
- Finance 21
Countries citing papers authored by Suk Jun Lee
This map shows the geographic impact of Suk Jun 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 Suk Jun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suk Jun Lee more than expected).
Fields of papers citing papers by Suk Jun Lee
This network shows the impact of papers produced by Suk Jun 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 Suk Jun Lee. The network helps show where Suk Jun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Suk Jun 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 83 | |
| 2 | 2008 | 27 | |
| 3 | 2015 | 27 | |
| 4 | 2011 | 21 | |
| 5 | 2009 | 19 | |
| 6 | 2008 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2010 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2012 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2009 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2010 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 4 |
About Suk Jun Lee
Suk Jun Lee is a scholar working on Immunology, Cancer Research, Management Science and Operations Research, Surgery and Economics and Econometrics, having authored 34 papers that have together received 356 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Breast Cancer Treatment Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Complex Systems and Time Series Analysis (3 papers), Forecasting Techniques and Applications (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Immunology (91 citations), Management Science and Operations Research (46 citations), Animal Science and Zoology (37 citations), Oncology (89 citations) and Finance (21 citations). Suk Jun Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Taehoon Chun, Joonbeom Bae, Chung‐Gyu Park, Kyong Joo Oh, Young Sik Lee, Tae Yoon Kim, Jae Joon Ahn, Chang‐Yong Choi, Sang Joon Kim and Ji‐Hye Han. Their work appears in journals such as Biotechnology Letters, Journal of General Virology, OncoTargets and Therapy, International Journal of Dairy Technology and Nature Communications.
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.