Kayeong Lim

2.6k total citations · 2 hit papers
20 papers, 1.8k citations indexed

About

Kayeong Lim is a scholar working on Molecular Biology, Genetics and Business and International Management. According to data from OpenAlex, Kayeong Lim has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Business and International Management. Recurrent topics in Kayeong Lim's work include CRISPR and Genetic Engineering (17 papers), RNA regulation and disease (6 papers) and RNA and protein synthesis mechanisms (5 papers). Kayeong Lim is often cited by papers focused on CRISPR and Genetic Engineering (17 papers), RNA regulation and disease (6 papers) and RNA and protein synthesis mechanisms (5 papers). Kayeong Lim collaborates with scholars based in South Korea, United States and Singapore. Kayeong Lim's 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 Heon Seok Kim and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Kayeong Lim

18 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adenine base editing in mouse embryos and an adult mouse model of Duchenne muscular dystrophy

2018 340 citations Taeyoung Koo, Kyoungmi Kim et al. Nature Biotechnology profile →
Targeted A-to-G base editing in human mitochondrial DNA with programmable deaminases

2022 163 citations Sung-Ik Cho, Seonghyun Lee et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kayeong Lim South Korea	14	1.7k	521	209	141	99	20	1.8k
Danny F. Xia United States	6	2.0k 1.2×	611 1.2×	311 1.5×	143 1.0×	103 1.0×	8	2.1k
Yidi Sun China	18	1.5k 0.9×	433 0.8×	167 0.8×	146 1.0×	67 0.7×	39	1.7k
Erwei Zuo China	18	1.7k 1.0×	505 1.0×	207 1.0×	171 1.2×	73 0.7×	35	1.9k
Heon Seok Kim South Korea	14	1.7k 1.0×	471 0.9×	175 0.8×	217 1.5×	149 1.5×	24	1.9k
Yolanda Santiago United States	11	2.0k 1.2×	703 1.3×	219 1.0×	90 0.6×	70 0.7×	22	2.2k
Kevin Hua United States	5	1.7k 1.0×	512 1.0×	260 1.2×	122 0.9×	89 0.9×	6	1.8k
Siyuan Tan United States	10	1.7k 1.0×	510 1.0×	263 1.3×	115 0.8×	88 0.9×	22	2.0k
Xiaohui Zhang China	10	1.1k 0.6×	333 0.6×	144 0.7×	112 0.8×	88 0.9×	24	1.3k
Michael A. Collingwood United States	10	1.5k 0.9×	444 0.9×	122 0.6×	143 1.0×	86 0.9×	11	1.6k
Elo Leung United States	4	1.9k 1.1×	569 1.1×	328 1.6×	134 1.0×	157 1.6×	5	2.1k

Countries citing papers authored by Kayeong Lim

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kayeong Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Kayeong Lim. A scholar is included among the top collaborators of Kayeong Lim 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 Kayeong Lim. Kayeong Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Suhyun, Hongik Hwang, Kyung‐Eun Lee, et al.. (2025). Loss of MEF2C function by enhancer mutation leads to neuronal mitochondria dysfunction and motor deficits in mice. Molecular Neurodegeneration. 20(1). 16–16. 1 indexed citations

Kweon, Jiyeon, Kayeong Lim, Minyoung Lee, et al.. (2025). High-efficiency base editing for nuclear and mitochondrial DNA with an optimized DYW-like deaminase. Molecular Therapy. 33(11). 5611–5623.

Jeong, Seungtaek, et al.. (2025). Revolutionizing CRISPR technology with artificial intelligence. Experimental & Molecular Medicine. 57(7). 1419–1431. 7 indexed citations

Lee, Minyoung, et al.. (2025). Engineered Sdd7 cytosine base editors with enhanced specificity. Nature Communications. 16(1). 5881–5881.

Lim, Kayeong. (2024). Mitochondrial genome editing: strategies, challenges, and applications. BMB Reports. 57(1). 19–29. 19 indexed citations

Lee, Jaesuk, Kayeong Lim, Annie Kim, et al.. (2023). Prime editing with genuine Cas9 nickases minimizes unwanted indels. Nature Communications. 14(1). 1786–1786. 55 indexed citations

Cho, Sung-Ik, Seonghyun Lee, Young Geun Mok, et al.. (2022). Targeted A-to-G base editing in human mitochondrial DNA with programmable deaminases. Cell. 185(10). 1764–1776.e12. 163 indexed citations breakdown →

Mok, Young Geun, Ji Min Lee, Eugene Chung, et al.. (2022). Base editing in human cells with monomeric DddA-TALE fusion deaminases. Nature Communications. 13(1). 4038–4038. 33 indexed citations

Lim, Kayeong, Sung-Ik Cho, & Jin‐Soo Kim. (2022). Nuclear and mitochondrial DNA editing in human cells with zinc finger deaminases. Nature Communications. 13(1). 366–366. 68 indexed citations

10.

Lim, Kayeong, Gwladys Revêchon, Haidong Yao, et al.. (2022). Transient expression of an adenine base editor corrects the Hutchinson-Gilford progeria syndrome mutation and improves the skin phenotype in mice. Nature Communications. 13(1). 3068–3068. 15 indexed citations

11.

Cho, Eunjin, et al.. (2022). Identification of Novel Genes for Cell Fusion during Osteoclast Formation. International Journal of Molecular Sciences. 23(12). 6421–6421. 5 indexed citations

12.

Hwang, Gue‐Ho, You Kyeong Jeong, Omer Habib, et al.. (2021). PE-Designer and PE-Analyzer: web-based design and analysis tools for CRISPR prime editing. Nucleic Acids Research. 49(W1). W499–W504. 84 indexed citations

13.

Moon, Joonho, Jihyun Park, Dae Hyun Kim, et al.. (2021). Production of MSTN‐mutated cattle without exogenous gene integration using CRISPR‐Cas9. Biotechnology Journal. 17(7). e2100198–e2100198. 35 indexed citations

14.

Hwang, Gue‐Ho, Jihyeon Yu, Kayeong Lim, et al.. (2020). CRISPR-sub: Analysis of DNA substitution mutations caused by CRISPR-Cas9 in human cells. Computational and Structural Biotechnology Journal. 18. 1686–1694. 13 indexed citations

15.

Kim, Daesik, et al.. (2020). Genome-wide specificity of dCpf1 cytidine base editors. Nature Communications. 11(1). 4072–4072. 16 indexed citations

16.

Hwang, Gue‐Ho, Jeongbin Park, Kayeong Lim, et al.. (2018). Web-based design and analysis tools for CRISPR base editing. BMC Bioinformatics. 19(1). 542–542. 126 indexed citations

17.

Koo, Taeyoung, Kyoungmi Kim, Kayeong Lim, et al.. (2018). Adenine base editing in mouse embryos and an adult mouse model of Duchenne muscular dystrophy. Nature Biotechnology. 36(6). 536–539. 340 indexed citations breakdown →

18.

Kim, Daesik, et al.. (2017). Genome-wide target specificities of CRISPR RNA-guided programmable deaminases. Nature Biotechnology. 35(5). 475–480. 211 indexed citations

19.

Kim, Kyoungmi, Sang‐Tae Kim, Gayoung Baek, et al.. (2017). Highly efficient RNA-guided base editing in mouse embryos. Nature Biotechnology. 35(5). 435–437. 297 indexed citations

20.

Park, Jeongbin, Kayeong Lim, Jin‐Soo Kim, & Sangsu Bae. (2016). Cas-analyzer: an online tool for assessing genome editing results using NGS data. Bioinformatics. 33(2). 286–288. 301 indexed citations

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.

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