Kayeong Lim
Impact in
-
- Innovation and Socioeconomic Development
- Aging top 2%
Papers in
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- CRISPR and Genetic Engineering 17
- RNA regulation and disease 6
- Advanced biosensing and bioanalysis techniques 5
- RNA and protein synthesis mechanisms 5
- Mitochondrial Function and Pathology 2
- RNA Research and Splicing 2
- Genetics 5
- Virus-based gene therapy research 3
- Co-authors
- Jin‐Soo Kim (14 shared papers)Sang‐Tae Kim (4 shared papers)Sangsu Bae (4 shared papers)Eugene Chung (5 shared papers)Kyoungmi Kim (3 shared papers)Jeongbin Park (2 shared papers)Daesik Kim (5 shared papers)Gayoung Baek (2 shared papers)
- Journals
- Nature Communications (6 papers)Nature Biotechnology (3 papers)Biotechnology Journal (1 paper)Bioinformatics (1 paper)Experimental & Molecular Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Kayeong Lim
18 papers receiving 1.8k citations
Kayeong Lim's Hit Papers
Peers
Comparison fields: 5 of 76
- Business and International Management 137
- Aging 100
- Molecular Biology 1.7k
- Genetics 514
- Clinical Biochemistry 52
Countries citing papers authored by Kayeong Lim
This map shows the geographic impact of Kayeong Lim'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 Kayeong Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayeong Lim more than expected).
Fields of papers citing papers by Kayeong Lim
This network shows the impact of papers produced by Kayeong Lim. 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 Kayeong Lim. The network helps show where Kayeong Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kayeong Lim, 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 | 2018 | 346 | |
| 2 | 2016 | 310 | |
| 3 | 2017 | 302 | |
| 4 | 2017 | 215 | |
| 5 | Targeted A-to-G base editing in human mitochondrial DNA with programmable deaminases Hit paper breakdown → | 2022 | 177 |
| 6 | 2018 | 132 | |
| 7 | 2021 | 86 | |
| 8 | 2022 | 74 | |
| 9 | 2023 | 64 | |
| 10 | 2021 | 37 | |
| 11 | 2022 | 36 | |
| 12 | 2024 | 26 | |
| 13 | 2020 | 16 | |
| 14 | 2025 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2022 | 5 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Kayeong Lim
Kayeong Lim is a scholar working on Molecular Biology, Genetics, Business and International Management, Neurology and Epidemiology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (17 papers), RNA regulation and disease (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA and protein synthesis mechanisms (5 papers), Virus-based gene therapy research (3 papers), Mitochondrial Function and Pathology (2 papers), Innovation and Socioeconomic Development (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Business and International Management (137 citations), Aging (100 citations), Molecular Biology (1.7k citations), Genetics (514 citations) and Clinical Biochemistry (52 citations). Kayeong Lim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jin‐Soo Kim, Sang‐Tae Kim, Sangsu Bae, Eugene Chung, Kyoungmi Kim, Jeongbin Park, Daesik Kim, Gayoung Baek, Sung-Ik Cho and Young Geun Mok. Their work appears in journals such as Nature Communications, Nature Biotechnology, Biotechnology Journal, Bioinformatics and Experimental & Molecular Medicine.
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.