Yoon Namkung
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Cell Biology top 10%
- Co-authors
- David R. SibleyStéphane A. LaporteHee‐Sup ShinMichel BouvierÉtienne KhouryChristian Le GouillHiroyuki KobayashiJonathan A. Javitch
- Topics
- Receptor Mechanisms and Signaling (23 papers)Neuropeptides and Animal Physiology (9 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Yoon Namkung
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 821
- Cardiology and Cardiovascular Medicine 260
- Surgery 173
- Cell Biology 122
Countries citing papers authored by Yoon Namkung
This map shows the geographic impact of Yoon Namkung'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 Yoon Namkung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon Namkung more than expected).
Fields of papers citing papers by Yoon Namkung
This network shows the impact of papers produced by Yoon Namkung. 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 Yoon Namkung. The network helps show where Yoon Namkung may publish in the future.
Co-authorship network of co-authors of Yoon Namkung
This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Namkung. A scholar is included among the top collaborators of Yoon Namkung 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 Yoon Namkung. Yoon Namkung 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 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 17 | |
| 6 | 32 | |
| 7 | 10 | |
| 8 | 22 | |
| 9 | 12 | |
| 10 | 14 | |
| 11 | 41 | |
| 12 | 98 | |
| 13 | 13 | |
| 14 | 232 | |
| 15 | 34 | |
| 16 | 29 | |
| 17 | 62 | |
| 18 | 21 | |
| 19 | 24 | |
| 20 | 3 |
About Yoon Namkung
Yoon Namkung is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Human Factors and Ergonomics, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (821 citations), Sensory Systems (118 citations) and Molecular Biology (1.4k citations). Yoon Namkung has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David R. Sibley, Stéphane A. Laporte, Hee‐Sup Shin, Michel Bouvier, Étienne Khoury, Christian Le Gouill, Hiroyuki Kobayashi, Jonathan A. Javitch, Concetta Dipace and Hyung‐Lae 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.