Hyaeyeong Kim
Impact in
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- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- RNA Research and Splicing
- Extracellular vesicles in disease
- RNA modifications and cancer
- Biophysics top 10%
Papers in
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- RNA and protein synthesis mechanisms 5
- Advanced biosensing and bioanalysis techniques 4
- RNA Interference and Gene Delivery 4
- DNA and Nucleic Acid Chemistry 3
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
- Molecular Biology Techniques and Applications 1
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- Nanoplatforms for cancer theranostics 1
- Co-authors
- Samie R. Jaffrey (7 shared papers)Xing Li (5 shared papers)Jiahui Wu (5 shared papers)Wenjiao Song (2 shared papers)Jared D. Moon (2 shared papers)Markus Hirsch (1 shared paper)Grigory S. Filonov (1 shared paper)Jacob L. Litke (3 shared papers)
- Journals
- Cell chemical biology (2 papers)Nature Methods (1 paper)Journal of the American Chemical Society (1 paper)Nature Chemical Biology (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Hyaeyeong Kim
8 papers receiving 624 citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 562
- Biophysics 35
- Cancer Research 59
- Biomaterials 38
- Structural Biology 4
Countries citing papers authored by Hyaeyeong Kim
This map shows the geographic impact of Hyaeyeong Kim'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 Hyaeyeong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyaeyeong Kim more than expected).
Fields of papers citing papers by Hyaeyeong Kim
This network shows the impact of papers produced by Hyaeyeong Kim. 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 Hyaeyeong Kim. The network helps show where Hyaeyeong Kim may publish in the future.
Co-authors
The 19 scholars most cited alongside Hyaeyeong Kim, 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 | 2017 | 205 | |
| 2 | 2015 | 143 | |
| 3 | 2019 | 89 | |
| 4 | 2019 | 89 | |
| 5 | 2019 | 38 | |
| 6 | 2022 | 37 | |
| 7 | 2021 | 21 | |
| 8 | 2019 | 7 |
About Hyaeyeong Kim
Hyaeyeong Kim is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Organic Chemistry and Surgery, having authored 8 papers that have together received 629 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (4 papers), DNA and Nucleic Acid Chemistry (3 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Nanoplatforms for cancer theranostics (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (562 citations), Biophysics (35 citations), Cancer Research (59 citations), Biomaterials (38 citations) and Structural Biology (4 citations). Hyaeyeong Kim has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Samie R. Jaffrey, Xing Li, Jiahui Wu, Wenjiao Song, Jared D. Moon, Markus Hirsch, Grigory S. Filonov, Jacob L. Litke, B.J. Kim and Jiyoung Kim. Their work appears in journals such as Cell chemical biology, Nature Methods, Journal of the American Chemical Society, Nature Chemical Biology and Angewandte Chemie International Edition.
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.