Seokjoong Kim

16.0k total citations · 7 hit papers
181 papers, 11.5k citations indexed

About

Seokjoong Kim is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Seokjoong Kim has authored 181 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 27 papers in Genetics and 19 papers in Genetics. Recurrent topics in Seokjoong Kim's work include CRISPR and Genetic Engineering (76 papers), RNA Interference and Gene Delivery (20 papers) and RNA and protein synthesis mechanisms (17 papers). Seokjoong Kim is often cited by papers focused on CRISPR and Genetic Engineering (76 papers), RNA Interference and Gene Delivery (20 papers) and RNA and protein synthesis mechanisms (17 papers). Seokjoong Kim collaborates with scholars based in South Korea, United States and Japan. Seokjoong Kim's co-authors include Jin‐Soo Kim, Suresh Ramakrishna, Daesik Kim, Ramu Gopalappa, Hui Kwon Kim, Eunji Kim, Seonwoo Min, Hyojin Kim, Sungroh Yoon and Thomas G. Boyer and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Seokjoong Kim

172 papers receiving 11.3k citations

Hit Papers

5 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.

A guide to genome engineering with programmable nucleases

2014 867 citations Seokjoong Kim, Jin‐Soo Kim profile →
Digenome-seq: genome-wide profiling of CRISPR-Cas9 off-target effects in human cells

2015 743 citations Daesik Kim, Sangsu Bae et al. Nature Methods profile →
In vivo genome editing with a small Cas9 orthologue derived from Campylobacter jejuni

2017 531 citations Daesik Kim, Dong Woo Song et al. Nature Communications profile →
Gene disruption by cell-penetrating peptide-mediated delivery of Cas9 protein and guide RNA

2014 526 citations Ramu Gopalappa, Seokjoong Kim et al. profile →
DNA-Free Genetically Edited Grapevine and Apple Protoplast Using CRISPR/Cas9 Ribonucleoproteins

2016 456 citations Seokjoong Kim, Jin‐Soo Kim et al. profile →
Directed evolution of CRISPR-Cas9 to increase its specificity

2018 390 citations Jungjoon K. Lee, Joonsun Lee et al. Nature Communications profile →
In vivo delivery of CRISPR-Cas9 using lipid nanoparticles enables antithrombin gene editing for sustainable hemophilia A and B therapy

2022 130 citations Yeji Lee, Seokjoong Kim et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Seokjoong Kim South Korea	54	8.8k	2.2k	1.2k	874	752	181	11.5k
Haoyi Wang China	38	7.7k 0.9×	2.6k 1.2×	728 0.6×	1.2k 1.3×	502 0.7×	150	10.2k
Ning Sun China	38	5.3k 0.6×	812 0.4×	483 0.4×	279 0.3×	172 0.2×	151	7.5k
Qian Li China	59	10.0k 1.1×	644 0.3×	586 0.5×	771 0.9×	69 0.1×	437	14.1k
Dali Li China	44	4.2k 0.5×	887 0.4×	191 0.2×	1.2k 1.3×	124 0.2×	164	6.0k
Axel Schambach Germany	63	8.4k 1.0×	4.7k 2.2×	186 0.2×	3.4k 3.9×	74 0.1×	332	13.5k
Junji Takeda Japan	61	5.7k 0.6×	1.3k 0.6×	630 0.5×	1.3k 1.5×	28 0.0×	171	11.7k
Dong Liu China	43	5.0k 0.6×	672 0.3×	282 0.2×	352 0.4×	34 0.0×	230	7.5k
Lorena Zentilin Italy	47	4.9k 0.6×	952 0.4×	109 0.1×	625 0.7×	52 0.1×	146	7.7k
Min Zhang China	41	3.7k 0.4×	498 0.2×	585 0.5×	338 0.4×	36 0.0×	209	6.9k
Jeffrey S. Chamberlain United States	78	17.0k 1.9×	6.0k 2.8×	178 0.2×	1.0k 1.2×	80 0.1×	269	19.5k

Countries citing papers authored by Seokjoong Kim

Since Specialization

Citations

This map shows the geographic impact of Seokjoong 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 Seokjoong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seokjoong Kim more than expected).

Fields of papers citing papers by Seokjoong Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seokjoong 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 Seokjoong Kim. The network helps show where Seokjoong Kim may publish in the future.

Co-authorship network of co-authors of Seokjoong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seokjoong Kim. A scholar is included among the top collaborators of Seokjoong Kim 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 Seokjoong Kim. Seokjoong Kim 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

Sung, Keewon, et al.. (2025). A rational engineering strategy for structural dynamics modulation enables target specificity enhancement of the Cas9 nuclease. Nucleic Acids Research. 53(12).

Kim, Hui Kwon & Seokjoong Kim. (2025). Evaluation and prediction of guide RNA activities in genome-editing tools. Nature Reviews Bioengineering. 4(1). 82–97.

Park, Jinman, et al.. (2024). SynDesign: web-based prime editing guide RNA design and evaluation tool for saturation genome editing. Nucleic Acids Research. 52(W1). W121–W125. 1 indexed citations

Kim, Younggwang, et al.. (2024). Saturation profiling of drug-resistant genetic variants using prime editing. Nature Biotechnology. 43(9). 1471–1484. 11 indexed citations

Gopalappa, Ramu, Min Young Lee, Jong Geol Lee, et al.. (2024). In vivo adenine base editing rescues adrenoleukodystrophy in a humanized mouse model. Molecular Therapy. 32(7). 2190–2206. 3 indexed citations

Lee, Jeong Hyeon, Dong Woo Song, Minjeong Kim, et al.. (2023). In vivo genome editing for hemophilia B therapy by the combination of rebalancing and therapeutic gene knockin using a viral and non-viral vector. Molecular Therapy — Nucleic Acids. 32. 161–172. 26 indexed citations

Kim, Nahye, Sungjae Kim, Jung Hwa Seo, et al.. (2023). Deep learning models to predict the editing efficiencies and outcomes of diverse base editors. Nature Biotechnology. 42(3). 484–497. 39 indexed citations

Min, Joo-Ok, Hoang‐Anh Ho, Won‐Jae Lee, et al.. (2023). Statins suppress cell-to-cell propagation of α-synuclein by lowering cholesterol. Cell Death and Disease. 14(7). 6 indexed citations

Kim, Young-hoon, Nahye Kim, Seonwoo Min, et al.. (2023). Sniper2L is a high-fidelity Cas9 variant with high activity. Nature Chemical Biology. 19(8). 972–980. 33 indexed citations

10.

Seo, Jung Hwa, Junwon Lee, Daesik Kim, et al.. (2023). DNA double-strand break-free CRISPR interference delays Huntington’s disease progression in mice. Communications Biology. 6(1). 466–466. 18 indexed citations

11.

Min, Seonwoo, Sungtae Lee, Jung Hwa Seo, et al.. (2023). Massively parallel evaluation and computational prediction of the activities and specificities of 17 small Cas9s. Nature Methods. 20(7). 999–1009. 12 indexed citations

12.

Lim, Jung Min, Seonwoo Min, Dong Young Kim, et al.. (2021). Generation of a more efficient prime editor 2 by addition of the Rad51 DNA-binding domain. Nature Communications. 12(1). 5617–5617. 65 indexed citations

13.

Jo, Dong Hyun, Chang Sik Cho, Jung Hwa Seo, et al.. (2021). Application of prime editing to the correction of mutations and phenotypes in adult mice with liver and eye diseases. Nature Biomedical Engineering. 6(2). 181–194. 143 indexed citations

14.

Kim, Hui Kwon, Sungtae Lee, Younggwang Kim, et al.. (2020). Sequence-specific prediction of the efficiencies of adenine and cytosine base editors. Nature Biotechnology. 38(9). 1037–1043. 81 indexed citations

15.

Kim, Nahye, Hui Kwon Kim, Sungtae Lee, et al.. (2020). Prediction of the sequence-specific cleavage activity of Cas9 variants. Nature Biotechnology. 38(11). 1328–1336. 146 indexed citations

16.

Kim, Hui Kwon, Goosang Yu, Jinman Park, et al.. (2020). Predicting the efficiency of prime editing guide RNAs in human cells. Nature Biotechnology. 39(2). 198–206. 193 indexed citations

17.

Kim, Hui Kwon, Younggwang Kim, Sungtae Lee, et al.. (2019). SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance. Science Advances. 5(11). eaax9249–eaax9249. 140 indexed citations

18.

Jung, In-Young, et al.. (2018). CRISPR/Cas9-Mediated Knockout of DGK Improves Antitumor Activities of Human T Cells. Cancer Research. 78(16). 4692–4703. 179 indexed citations

19.

Cho, Bongki, Hyo Min Cho, Youhwa Jo, et al.. (2017). Constriction of the mitochondrial inner compartment is a priming event for mitochondrial division. Nature Communications. 8(1). 15754–15754. 129 indexed citations

20.

Moon, Kwang‐Deog, et al.. (1995). Screening of natural preservatives to inhibit kimchi fermentation. Korean Journal of Food Science and Technology. 27(2). 257–263. 20 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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