Ka Young Chung
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Spectroscopy top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Brian K. KobilkaSøren G. F. RasmussenRoger K. SunaharaDiane CalinskiBrian T. DeVreePil Seok ChaeGeorgios SkiniotisJan Steyaert
- Topics
- Receptor Mechanisms and Signaling (56 papers)Protein Kinase Regulation and GTPase Signaling (22 papers)Neuropeptides and Animal Physiology (20 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Ka Young Chung
79 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 4.1k
- Cellular and Molecular Neuroscience 2.1k
- Radiology, Nuclear Medicine and Imaging 604
- Spectroscopy 534
- Computational Theory and Mathematics 362
Countries citing papers authored by Ka Young Chung
This map shows the geographic impact of Ka Young 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 Ka Young Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Young Chung more than expected).
Fields of papers citing papers by Ka Young Chung
This network shows the impact of papers produced by Ka Young 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 Ka Young Chung. The network helps show where Ka Young Chung may publish in the future.
Co-authorship network of co-authors of Ka Young Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Ka Young Chung. A scholar is included among the top collaborators of Ka Young 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 Ka Young Chung. Ka Young 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 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 38 | |
| 9 | 8 | |
| 10 | 47 | |
| 11 | 18 | |
| 12 | 19 | |
| 13 | 69 | |
| 14 | 13 | |
| 15 | 0 | |
| 16 | 7 | |
| 17 | 16 | |
| 18 | 13 | |
| 19 | Conformational changes in the G protein Gs induced by the β2 adrenergic receptorbreakdown → | 290 |
| 20 | 9 |
About Ka Young Chung
Ka Young Chung is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy and Molecular Biology, having authored 82 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (56 papers), Protein Kinase Regulation and GTPase Signaling (22 papers) and Neuropeptides and Animal Physiology (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Molecular Biology (4.1k citations) and Spectroscopy (534 citations). Ka Young Chung has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Brian K. Kobilka, Søren G. F. Rasmussen, Roger K. Sunahara, Diane Calinski, Brian T. DeVree, Pil Seok Chae, Georgios Skiniotis, Jan Steyaert, Els Pardon and Andrew C. Kruse. Their work appears in journals such as Nature, Science and Cell.
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.