Kwanghun Chung
- Biophysics top 0.05%
- Molecular Biology top 5%
- Biomedical Engineering top 2%
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Co-authors
- Karl DeisserothHang LuViviana GradinaruSung‐Yon KimMatthew M. CraneTaeyun KuLogan GrosenickAaron S. Andalman
- Topics
- Advanced Fluorescence Microscopy Techniques (15 papers)Cell Image Analysis Techniques (12 papers)3D Printing in Biomedical Research (11 papers)
- Cited by
- BiophysicsStructural BiologyAging
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Kwanghun Chung
51 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Biophysics 2.1k
- Molecular Biology 2.0k
- Biomedical Engineering 1.6k
- Cellular and Molecular Neuroscience 1.2k
- Cognitive Neuroscience 733
Countries citing papers authored by Kwanghun Chung
This map shows the geographic impact of Kwanghun 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 Kwanghun Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwanghun Chung more than expected).
Fields of papers citing papers by Kwanghun Chung
This network shows the impact of papers produced by Kwanghun 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 Kwanghun Chung. The network helps show where Kwanghun Chung may publish in the future.
Co-authorship network of co-authors of Kwanghun Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Kwanghun Chung. A scholar is included among the top collaborators of Kwanghun 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 Kwanghun Chung. Kwanghun 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 | 45 | |
| 2 | 25 | |
| 3 | 51 | |
| 4 | 92 | |
| 5 | Tissue clearing and its applications in neurosciencebreakdown → | 362 |
| 6 | 57 | |
| 7 | A metastasis map of human cancer cell linesbreakdown → | 272 |
| 8 | 56 | |
| 9 | Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognitionbreakdown → | 473 |
| 10 | 36 | |
| 11 | 262 | |
| 12 | 24 | |
| 13 | 131 | |
| 14 | 5 | |
| 15 | 305 | |
| 16 | 61 | |
| 17 | 123 | |
| 18 | 29 | |
| 19 | 50 | |
| 20 | 36 |
About Kwanghun Chung
Kwanghun Chung is a scholar working on Biophysics, Structural Biology and Aging, having authored 55 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (15 papers), Cell Image Analysis Techniques (12 papers) and 3D Printing in Biomedical Research (11 papers). The work is most often cited by research in Biophysics (2.1k citations), Structural Biology (243 citations) and Aging (245 citations). Kwanghun Chung has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Karl Deisseroth, Hang Lu, Viviana Gradinaru, Sung‐Yon Kim, Matthew M. Crane, Taeyun Ku, Logan Grosenick, Aaron S. Andalman, Sandhiya Kalyanasundaram and Thomas J. Davidson. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.