Kye Won Wang
Impact in
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Protein Degradation and Inhibitors
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
Papers in
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- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 3
- Protein Structure and Dynamics 3
- RNA modifications and cancer 3
- DNA and Nucleic Acid Chemistry 2
- Co-authors
- Ilyas Yildirim (8 shared papers)Matthew D. Disney (7 shared papers)Alexander Adibekian (2 shared papers)Daniel Abegg (2 shared papers)Christopher G. Parker (1 shared paper)Peiyuan Zhang (1 shared paper)Sai Pradeep Velagapudi (1 shared paper)Matthew G. Costales (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)ACS Chemical Biology (1 paper)Journal of Nanoscience and Nanotechnology (1 paper)Molecular Physics (1 paper)Molecular Simulation (1 paper)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Kye Won Wang
16 papers receiving 420 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 309
- Cancer Research 32
- Biomedical Engineering 63
- Genetics 13
- Organic Chemistry 34
Countries citing papers authored by Kye Won Wang
This map shows the geographic impact of Kye Won Wang'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 Kye Won Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kye Won Wang more than expected).
Fields of papers citing papers by Kye Won Wang
This network shows the impact of papers produced by Kye Won Wang. 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 Kye Won Wang. The network helps show where Kye Won Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kye Won Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2020 | 72 | |
| 3 | 2020 | 49 | |
| 4 | 2010 | 35 | |
| 5 | 2012 | 34 | |
| 6 | 2020 | 28 | |
| 7 | 2018 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2018 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2011 | 2 | |
| 16 | 2019 | 1 |
About Kye Won Wang
Kye Won Wang is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 428 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Protein Structure and Dynamics (3 papers), RNA modifications and cancer (3 papers), Genetic Neurodegenerative Diseases (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Molecular Biology (309 citations), Cancer Research (32 citations), Biomedical Engineering (63 citations), Genetics (13 citations) and Organic Chemistry (34 citations). Kye Won Wang has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Ilyas Yildirim, Matthew D. Disney, Alexander Adibekian, Daniel Abegg, Christopher G. Parker, Peiyuan Zhang, Sai Pradeep Velagapudi, Matthew G. Costales, Weichao Li and Blessy M. Suresh. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Chemical Biology, Journal of Nanoscience and Nanotechnology, Molecular Physics and Molecular Simulation.
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.