Joonha Kwon
- Oncology
- Immunology
- Statistics, Probability and Uncertainty top 5%
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Co-authors
- Jinhyo AhnJunkeon AhnSun‐Whe KimWooil KwonJin‐Young JangSeon Ah LimKyungtaek ImCassian Yee
- Topics
- Single-cell and spatial transcriptomics (4 papers)Computational Fluid Dynamics and Aerodynamics (4 papers)Fluid Dynamics and Turbulent Flows (3 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Joonha Kwon
18 papers receiving 245 citations
Peers
Comparison fields: 5 of 51
- Oncology 84
- Immunology 76
- Statistics, Probability and Uncertainty 66
- Computational Theory and Mathematics 56
- Molecular Biology 38
Countries citing papers authored by Joonha Kwon
This map shows the geographic impact of Joonha Kwon'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 Joonha Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joonha Kwon more than expected).
Fields of papers citing papers by Joonha Kwon
This network shows the impact of papers produced by Joonha Kwon. 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 Joonha Kwon. The network helps show where Joonha Kwon may publish in the future.
Co-authorship network of co-authors of Joonha Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Joonha Kwon. A scholar is included among the top collaborators of Joonha Kwon 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 Joonha Kwon. Joonha Kwon 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 | 0 | |
| 4 | 20 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 79 | |
| 8 | 1 | |
| 9 | Image deformation using radial basis function interpolation | 3 |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 51 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | A STUDY OF THE GENERATION OF MESH INTERFACE REGIONS FOR STRUCTURED OVERLAPPED GRIDS | 0 |
| 18 | Diode laser satellite systems for beamed power transmission | 13 |
| 19 | A survey of beam-combining technologies for laser space power transmission | 3 |
| 20 | 13 |
About Joonha Kwon
Joonha Kwon is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 22 papers that have together received 253 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (66 citations), Immunology (76 citations) and Computational Theory and Mathematics (56 citations). Joonha Kwon has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jinhyo Ahn, Junkeon Ahn, Sun‐Whe Kim, Wooil Kwon, Jin‐Young Jang, Seon Ah Lim, Kyungtaek Im, Cassian Yee, Tae-Jin Kim and Seunghyun Jeon. Their work appears in journals such as Nature Communications, Nature Biotechnology and The Journal of Immunology.
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.