Hyung‐Min Chung
- Molecular Biology top 2%
- Biomedical Engineering top 1%
- Surgery top 2%
- Public Health, Environmental and Occupational Health top 1%
- Biomaterials top 1%
- Co-authors
- Sung‐Hwan MoonTae Ki YoonKwang‐Yul ChaDae Gyun WooJumi KimJong-Hyuk SungSoon‐Jung ParkJung Jae Ko
- Topics
- Pluripotent Stem Cells Research (78 papers)3D Printing in Biomedical Research (35 papers)Reproductive Biology and Fertility (33 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyCirculation
- Partner nations
- South KoreaPanamaUnited States
In The Last Decade
Hyung‐Min Chung
225 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 3.7k
- Biomedical Engineering 1.7k
- Surgery 1.3k
- Public Health, Environmental and Occupational Health 1.3k
- Biomaterials 1.0k
Countries citing papers authored by Hyung‐Min Chung
This map shows the geographic impact of Hyung‐Min Chung'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 Hyung‐Min Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyung‐Min Chung more than expected).
Fields of papers citing papers by Hyung‐Min Chung
This network shows the impact of papers produced by Hyung‐Min Chung. 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 Hyung‐Min Chung. The network helps show where Hyung‐Min Chung may publish in the future.
Co-authorship network of co-authors of Hyung‐Min Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Hyung‐Min Chung. A scholar is included among the top collaborators of Hyung‐Min Chung 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 Hyung‐Min Chung. Hyung‐Min Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 50 | |
| 8 | 30 | |
| 9 | 94 | |
| 10 | 15 | |
| 11 | 16 | |
| 12 | 47 | |
| 13 | 6 | |
| 14 | Generation of Insulin-Producing Cells from PDX1 Gene-Modified Human Mesenchymal Stem Sells based on Lentiviral Vector System | 1 |
| 15 | 22 | |
| 16 | 24 | |
| 17 | 31 | |
| 18 | 42 | |
| 19 | Neuronal Differentiation of Human ES Cells by Co-Culturing with PA6 Stromal Cells | 1 |
| 20 | 41 |
About Hyung‐Min Chung
Hyung‐Min Chung is a scholar working on Genetics, Reproductive Medicine and Biomaterials, having authored 230 papers that have together received 7.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (78 papers), 3D Printing in Biomedical Research (35 papers) and Reproductive Biology and Fertility (33 papers). The work is most often cited by research in Reproductive Medicine (921 citations), Genetics (986 citations) and Biomaterials (1.0k citations). Hyung‐Min Chung has collaborated with scholars based in South Korea, Panama and United States. Frequent co-authors include Sung‐Hwan Moon, Tae Ki Yoon, Kwang‐Yul Cha, Dae Gyun Woo, Jumi Kim, Jong-Hyuk Sung, Soon‐Jung Park, Jung Jae Ko, Kun Na and Ji Yeon Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Circulation.
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.