Kyounghwan Na
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Polymers and Plastics top 10%
- Co-authors
- Euisik YoonJohn P. SeymourTakashi D.Y. KozaiKensall D. WiseSung‐Yun ParkHuanan ZhangCynthia A. ChestekNicholas A. Kotov
- Topics
- Neuroscience and Neural Engineering (9 papers)Force Microscopy Techniques and Applications (4 papers)Advanced Memory and Neural Computing (3 papers)
- Partner nations
- United StatesSouth KoreaIsrael
In The Last Decade
Kyounghwan Na
17 papers receiving 651 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 502
- Biomedical Engineering 253
- Cognitive Neuroscience 242
- Electrical and Electronic Engineering 222
- Polymers and Plastics 113
Countries citing papers authored by Kyounghwan Na
This map shows the geographic impact of Kyounghwan Na'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 Kyounghwan Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyounghwan Na more than expected).
Fields of papers citing papers by Kyounghwan Na
This network shows the impact of papers produced by Kyounghwan Na. 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 Kyounghwan Na. The network helps show where Kyounghwan Na may publish in the future.
Co-authorship network of co-authors of Kyounghwan Na
This figure shows the co-authorship network connecting the top 25 collaborators of Kyounghwan Na. A scholar is included among the top collaborators of Kyounghwan Na 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 Kyounghwan Na. Kyounghwan Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 38 | |
| 5 | 28 | |
| 6 | 72 | |
| 7 | 69 | |
| 8 | 130 | |
| 9 | 146 | |
| 10 | 6 | |
| 11 | 27 | |
| 12 | 9 | |
| 13 | 23 | |
| 14 | 20 | |
| 15 | Reliability modeling of MEMS probe card with vertical guide | 1 |
| 16 | 41 | |
| 17 | New Finite Element Method Modeling for contractile Forces of Cardiomyocytes on Hybrid Biopolymer Microcantilevers | 1 |
| 18 | 3 |
About Kyounghwan Na
Kyounghwan Na is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 18 papers that have together received 658 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), Force Microscopy Techniques and Applications (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (502 citations), Cognitive Neuroscience (242 citations) and Polymers and Plastics (113 citations). Kyounghwan Na has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Euisik Yoon, John P. Seymour, Takashi D.Y. Kozai, Euisik Yoon, Kensall D. Wise, Sung‐Yun Park, Huanan Zhang, Cynthia A. Chestek, Nicholas A. Kotov and Paras R. Patel. Their work appears in journals such as Scientific Reports, Science Advances and Journal of Biomechanics.
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.