Chun Geun Lee
- Immunology top 0.5%
- IL-33, ST2, and ILC Pathways 21
- Invertebrate Immune Response Mechanisms 20
- Pulmonary and Respiratory Medicine top 0.5%
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 26
- Neonatal Respiratory Health Research 25
- Chronic Obstructive Pulmonary Disease (COPD) Research 15
- Immunology and Allergy top 0.5%
- Physiology top 0.5%
- Asthma and respiratory diseases 31
- Molecular Biology top 1%
- Studies on Chitinases and Chitosanases 66
-
- Peptidase Inhibition and Analysis 15
- Co-authors
- Jack A. EliasRobert HomerZhou ZhuBing MaMin‐Jong KangCarla A. Da SilvaDominik HartlTao Zheng
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (9 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Chun Geun Lee
177 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Immunology 4.2k
- Pulmonary and Respiratory Medicine 3.8k
- Immunology and Allergy 677
- Physiology 2.7k
- Molecular Biology 5.7k
Countries citing papers authored by Chun Geun Lee
This map shows the geographic impact of Chun Geun 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 Chun Geun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Geun Lee more than expected).
Fields of papers citing papers by Chun Geun Lee
This network shows the impact of papers produced by Chun Geun 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 Chun Geun Lee. The network helps show where Chun Geun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chun Geun 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 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 70 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 29 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 41 | |
| 10 | 2020 | 39 | |
| 11 | 2019 | 58 | |
| 12 | 2019 | 58 | |
| 13 | 2018 | 42 | |
| 14 | 2018 | 81 | |
| 15 | 2018 | 32 | |
| 16 | 2017 | 14 | |
| 17 | 2014 | 67 | |
| 18 | 2013 | 63 | |
| 19 | 2012 | 123 | |
| 20 | 2006 | 88 |
About Chun Geun Lee
Chun Geun Lee is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Immunology and Allergy, having authored 180 papers that have together received 13.6k indexed citations. Recurring topics across this work include Studies on Chitinases and Chitosanases (66 papers), Asthma and respiratory diseases (31 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (26 papers), Neonatal Respiratory Health Research (25 papers), IL-33, ST2, and ILC Pathways (21 papers), Invertebrate Immune Response Mechanisms (20 papers), Peptidase Inhibition and Analysis (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers). The work is most often cited by research in Immunology (4.2k citations), Pulmonary and Respiratory Medicine (3.8k citations) and Immunology and Allergy (677 citations). Chun Geun Lee has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jack A. Elias, Robert Homer, Zhou Zhu, Bing Ma, Min‐Jong Kang, Carla A. Da Silva, Dominik Hartl, Tao Zheng, Charles S. Dela Cruz and Qingsheng Chen. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.