Chang‐Kyu Lee
- Molecular Biology top 10%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Surgery
- Immunology
- Co-authors
- Kwang‐Hwan ChoiHakhyun KaJorge A. PiedrahitaDong‐Kyung LeeJae Yeon HwangMingoo KimHeewon SeoChi‐Hun Park
- Topics
- Pluripotent Stem Cells Research (40 papers)CRISPR and Genetic Engineering (30 papers)Animal Genetics and Reproduction (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEDevelopment
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Chang‐Kyu Lee
110 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.1k
- Genetics 613
- Public Health, Environmental and Occupational Health 324
- Surgery 190
- Immunology 184
Countries citing papers authored by Chang‐Kyu Lee
This map shows the geographic impact of Chang‐Kyu 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 Chang‐Kyu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Kyu Lee more than expected).
Fields of papers citing papers by Chang‐Kyu Lee
This network shows the impact of papers produced by Chang‐Kyu 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 Chang‐Kyu Lee. The network helps show where Chang‐Kyu Lee may publish in the future.
Co-authorship network of co-authors of Chang‐Kyu Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Kyu Lee. A scholar is included among the top collaborators of Chang‐Kyu Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang‐Kyu Lee. Chang‐Kyu Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 68 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 19 | |
| 13 | 16 | |
| 14 | The Frequency of Unexpected Antibodies by Using Two Micro-column Agglutination Systems: DiaMed-ID and Ortho BioVue Systems | 0 |
| 15 | 42 | |
| 16 | 21 | |
| 17 | Effects of Relaxin and Insulin on Porcine Granulosa-lutein Cell Steroidogenesis In Vitro | 1 |
| 18 | Homocysteine and MTHFR Gene Polymorphism in Patients with Obstructive Sleep Apnea | 1 |
| 19 | 23 | |
| 20 | 13 |
About Chang‐Kyu Lee
Chang‐Kyu Lee is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (40 papers), CRISPR and Genetic Engineering (30 papers) and Animal Genetics and Reproduction (27 papers). The work is most often cited by research in Genetics (613 citations), Reproductive Medicine (138 citations) and Molecular Biology (1.1k citations). Chang‐Kyu Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Kwang‐Hwan Choi, Hakhyun Ka, Jorge A. Piedrahita, Dong‐Kyung Lee, Jae Yeon Hwang, Mingoo Kim, Heewon Seo, Chi‐Hun Park, Cheorun Jo and Yohan Choi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Development.
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.