Chun‐Hyung Kim
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Genetics top 5%
- Surgery top 10%
- Co-authors
- Kwang‐Soo KimMi‐Yoon ChangBaek‐Soo HanDohoon KimRobert LanzaSanghyeok KoEungi YangKwang Yul
- Topics
- Nuclear Receptors and Signaling (9 papers)Pluripotent Stem Cells Research (8 papers)Neurotransmitter Receptor Influence on Behavior (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSouth KoreaIndonesia
In The Last Decade
Chun‐Hyung Kim
47 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 925
- Physiology 409
- Genetics 351
- Surgery 340
Countries citing papers authored by Chun‐Hyung Kim
This map shows the geographic impact of Chun‐Hyung Kim'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‐Hyung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Hyung Kim more than expected).
Fields of papers citing papers by Chun‐Hyung Kim
This network shows the impact of papers produced by Chun‐Hyung Kim. 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‐Hyung Kim. The network helps show where Chun‐Hyung Kim may publish in the future.
Co-authorship network of co-authors of Chun‐Hyung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Hyung Kim. A scholar is included among the top collaborators of Chun‐Hyung Kim 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 Chun‐Hyung Kim. Chun‐Hyung Kim 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 | 4 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 6 | |
| 6 | 38 | |
| 7 | 136 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 19 | |
| 12 | Generation of Human Induced Pluripotent Stem Cells by Direct Delivery of Reprogramming Proteinsbreakdown → | 1276 |
| 13 | 18 | |
| 14 | 31 | |
| 15 | 10 | |
| 16 | 177 | |
| 17 | 21 | |
| 18 | 228 | |
| 19 | 109 | |
| 20 | 121 |
About Chun‐Hyung Kim
Chun‐Hyung Kim is a scholar working on Cellular and Molecular Neuroscience, Aging and Molecular Biology, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (9 papers), Pluripotent Stem Cells Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (925 citations), Developmental Neuroscience (148 citations) and Molecular Biology (2.1k citations). Chun‐Hyung Kim has collaborated with scholars based in United States, South Korea and Indonesia. Frequent co-authors include Kwang‐Soo Kim, Mi‐Yoon Chang, Baek‐Soo Han, Dohoon Kim, Robert Lanza, Sanghyeok Ko, Eungi Yang, Kwang Yul, Jung-Il Moon and Kwang‐Soo Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.