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
- Advanced biosensing and bioanalysis techniques
- Protein Degradation and Inhibitors
- DNA and Nucleic Acid Chemistry
Papers in
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- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- RNA modifications and cancer 3
- RNA Interference and Gene Delivery 3
- Co-authors
- Ilyas Yildirim (8 shared papers)Matthew D. Disney (7 shared papers)Daniel Abegg (2 shared papers)Alexander Adibekian (2 shared papers)Sai Pradeep Velagapudi (1 shared paper)Jessica L. Childs‐Disney (1 shared paper)Haruo Aikawa (1 shared paper)Peiyuan Zhang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Macromolecules (1 paper)Nature Chemistry (1 paper)Biotechnology and Bioengineering (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Kye Won Wang
16 papers receiving 388 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 299
- Cancer Research 32
- Biomedical Engineering 59
- Genetics 12
- Organic Chemistry 32
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 | 135 | |
| 2 | 2020 | 67 | |
| 3 | 2020 | 47 | |
| 4 | 2010 | 32 | |
| 5 | 2012 | 31 | |
| 6 | 2020 | 25 | |
| 7 | 2018 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 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 396 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers), RNA modifications and cancer (3 papers), RNA Interference and Gene Delivery (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Genetic Neurodegenerative Diseases (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Molecular Biology (299 citations), Cancer Research (32 citations), Biomedical Engineering (59 citations), Genetics (12 citations) and Organic Chemistry (32 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, Daniel Abegg, Alexander Adibekian, Sai Pradeep Velagapudi, Jessica L. Childs‐Disney, Haruo Aikawa, Peiyuan Zhang, Tanya Khan and Dominic G. Hoch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Macromolecules, Nature Chemistry, Biotechnology and Bioengineering and ACS Medicinal Chemistry Letters.
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.