Sung‐Keun Kang
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Genetics top 5%
- Surgery
- Co-authors
- Goo JangHwa‐Young YounWoo Suk HwangByeong-Chun LeeB.C. LeeOk Jae KooHee‐Jung ParkJung Taek Kang
- Topics
- Reproductive Biology and Fertility (13 papers)Animal Genetics and Reproduction (11 papers)Pluripotent Stem Cells Research (9 papers)
- Partner nations
- South KoreaEthiopiaPanama
In The Last Decade
Sung‐Keun Kang
25 papers receiving 759 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 377
- Public Health, Environmental and Occupational Health 345
- Genetics 233
- Genetics 190
- Surgery 134
Countries citing papers authored by Sung‐Keun Kang
This map shows the geographic impact of Sung‐Keun Kang'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 Sung‐Keun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Keun Kang more than expected).
Fields of papers citing papers by Sung‐Keun Kang
This network shows the impact of papers produced by Sung‐Keun Kang. 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 Sung‐Keun Kang. The network helps show where Sung‐Keun Kang may publish in the future.
Co-authorship network of co-authors of Sung‐Keun Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Keun Kang. A scholar is included among the top collaborators of Sung‐Keun Kang 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 Sung‐Keun Kang. Sung‐Keun Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Human adipose tissue-derived mesenchymal stem cells inhibit melanoma growth in vitro and in vivo. | 60 |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 171 | |
| 6 | 16 | |
| 7 | The Effects of Extracts Mixture Drink from Inonotus Obliquus, Phellinus Linteus and Ganoderma Lucidum on Hematopoietic Stem Cells and Lymphocyte Subset of Blood in Human | 5 |
| 8 | 190 | |
| 9 | Effects of Relaxin and Insulin on Porcine Granulosa-lutein Cell Steroidogenesis In Vitro | 1 |
| 10 | 18 | |
| 11 | Cloning, Sequencing, and Expression of cDNA Encoding Bovine Prion Protein | 3 |
| 12 | A Surgical Method for Collecting Canine Oocytes of In Vivo Matured from Uterine Tube | 6 |
| 13 | 19 | |
| 14 | 23 | |
| 15 | 15 | |
| 16 | 15 | |
| 17 | 40 | |
| 18 | 117 | |
| 19 | 23 | |
| 20 | 5 |
About Sung‐Keun Kang
Sung‐Keun Kang is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Genetics, having authored 25 papers that have together received 782 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (13 papers), Animal Genetics and Reproduction (11 papers) and Pluripotent Stem Cells Research (9 papers). The work is most often cited by research in Genetics (190 citations), Reproductive Medicine (119 citations) and Endocrine and Autonomic Systems (82 citations). Sung‐Keun Kang has collaborated with scholars based in South Korea, Ethiopia and Panama. Frequent co-authors include Goo Jang, Hwa‐Young Youn, Woo Suk Hwang, Byeong-Chun Lee, B.C. Lee, Ok Jae Koo, Hee‐Jung Park, Jung Taek Kang, Sei‐Myoung Han and Hae‐Young Lee. Their work appears in journals such as PLoS ONE, Biology of Reproduction and Journal of Pineal Research.
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.