Beum‐Chang Kang

1.5k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Beum‐Chang Kang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Beum‐Chang Kang has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Beum‐Chang Kang's work include CRISPR and Genetic Engineering (14 papers), Chromosomal and Genetic Variations (8 papers) and Plant Virus Research Studies (5 papers). Beum‐Chang Kang is often cited by papers focused on CRISPR and Genetic Engineering (14 papers), Chromosomal and Genetic Variations (8 papers) and Plant Virus Research Studies (5 papers). Beum‐Chang Kang collaborates with scholars based in South Korea, Puerto Rico and United States. Beum‐Chang Kang's co-authors include Jin‐Soo Kim, Sang‐Tae Kim, Hye‐Ran Kim, Sang‐Gyu Kim, Su‐Ji Bae, Min‐Kyeung Choi, Je Wook Woo, Annie Kim, Huiyun Seo and Hyunji Lee and has published in prestigious journals such as Nature Communications, Nature Protocols and Physiologia Plantarum.

In The Last Decade

Beum‐Chang Kang

16 papers receiving 997 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.

CRISPR/Cpf1-mediated DNA-free plant genome editing

2017 360 citations Hye‐Ran Kim, Sang‐Tae Kim et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beum‐Chang Kang South Korea	10	943	514	132	113	80	17	1.0k
Chenxiao Xue China	6	821 0.9×	528 1.0×	80 0.6×	162 1.4×	78 1.0×	8	913
Je Wook Woo South Korea	4	1.0k 1.1×	700 1.4×	170 1.3×	110 1.0×	86 1.1×	5	1.1k
Yu Bao China	9	613 0.7×	415 0.8×	105 0.8×	57 0.5×	62 0.8×	20	688
Bin Ren China	10	615 0.7×	556 1.1×	106 0.8×	73 0.6×	42 0.5×	17	764
Ruiying Qin China	20	1.4k 1.5×	1.1k 2.2×	203 1.5×	164 1.5×	117 1.5×	38	1.6k
Qiurong Ren China	12	1.5k 1.6×	952 1.9×	270 2.0×	139 1.2×	162 2.0×	20	1.6k
Levi G. Lowder United States	9	1.4k 1.5×	967 1.9×	213 1.6×	108 1.0×	130 1.6×	10	1.5k
Felix Wolter Germany	11	613 0.7×	529 1.0×	99 0.8×	90 0.8×	48 0.6×	15	719
Masafumi Mikami Japan	17	1.6k 1.7×	1.3k 2.6×	259 2.0×	162 1.4×	144 1.8×	26	1.9k
Min‐Jeong Kang South Korea	16	565 0.6×	484 0.9×	50 0.4×	46 0.4×	27 0.3×	36	796

Countries citing papers authored by Beum‐Chang Kang

Since Specialization

Citations

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

Fields of papers citing papers by Beum‐Chang Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beum‐Chang Kang. 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 Beum‐Chang Kang. The network helps show where Beum‐Chang Kang may publish in the future.

Co-authorship network of co-authors of Beum‐Chang Kang

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

All Works

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17 of 17 papers shown

Kang, Beum‐Chang, et al.. (2024). DNA‐free base editing in lettuce via in vitro transcribed base editors. Journal of Integrative Plant Biology. 67(2). 199–201.

Kang, Beum‐Chang, et al.. (2024). Etiolation promotes protoplast transfection and genome editing efficiency. Physiologia Plantarum. 176(6). e14637–e14637. 2 indexed citations

Bae, Su‐Ji, et al.. (2023). A streamlined guide RNA screening system for genome editing in Sorghum bicolor. Plant Methods. 19(1). 90–90. 11 indexed citations

Kim, Jin‐Baek, et al.. (2023). Deciphering the Genetic Mechanisms of Salt Tolerance in Sorghum bicolor L.: Key Genes and SNP Associations from Comparative Transcriptomic Analyses. Plants. 12(14). 2639–2639. 9 indexed citations

Kang, Beum‐Chang, et al.. (2023). DNA-free genome editing in tomato protoplasts using CRISPR/Cas9 ribonucleoprotein delivery. Horticulture Environment and Biotechnology. 65(1). 131–142. 5 indexed citations

Kim, Daesik, Beum‐Chang Kang, & Jin‐Soo Kim. (2021). Identifying genome-wide off-target sites of CRISPR RNA–guided nucleases and deaminases with Digenome-seq. Nature Protocols. 16(2). 1170–1192. 24 indexed citations

Kang, Beum‐Chang, Su‐Ji Bae, Seonghyun Lee, et al.. (2021). Chloroplast and mitochondrial DNA editing in plants. Nature Plants. 7(7). 899–905. 127 indexed citations

Lee, Hyunji, Seonghyun Lee, Gayoung Baek, et al.. (2021). Mitochondrial DNA editing in mice with DddA-TALE fusion deaminases. Nature Communications. 12(1). 1190–1190. 103 indexed citations

Park, Su Jin, Sang‐Gyu Kim, Hyunmo Choi, et al.. (2021). Genome editing of hybrid poplar (Populus alba × P. glandulosa) protoplasts using Cas9/gRNA ribonucleoprotein. Journal of Plant Biotechnology. 48(1). 34–43. 1 indexed citations

10.

Kang, Beum‐Chang, et al.. (2021). Rapid delivery of Cas9 gene into the tomato cv. ‘Heinz 1706’ through an optimized Agrobacterium-mediated transformation procedure. Biocell. 45(1). 199–215. 3 indexed citations

11.

Kang, Beum‐Chang, Je Wook Woo, Sang‐Tae Kim, et al.. (2019). Guidelines for C to T base editing in plants: base-editing window, guide RNA length, and efficient promoter. Plant Biotechnology Reports. 13(5). 533–541. 7 indexed citations

12.

Kang, Beum‐Chang, Qingyu Wu, Sunghun Park, et al.. (2019). Ectopic overexpression of an Arabidopsis monothiol glutaredoxin AtGRXS17 affects floral development and improves response to heat stress in chrysanthemum (Chrysanthemum morifolium Ramat.). Environmental and Experimental Botany. 167. 103864–103864. 9 indexed citations

13.

Kang, Beum‐Chang, Aung Htay Naing, Su‐Ji Bae, et al.. (2019). CRISPR/Cas9‐mediated editing of 1‐aminocyclopropane‐1‐carboxylate oxidase1 enhances Petunia flower longevity. Plant Biotechnology Journal. 18(1). 287–297. 89 indexed citations

14.

Kang, Beum‐Chang, Jae‐Young Yun, Sang‐Tae Kim, et al.. (2018). Precision genome engineering through adenine base editing in plants. Nature Plants. 4(7). 427–431. 215 indexed citations

15.

Kim, Hye‐Ran, et al.. (2017). CRISPR/Cpf1-mediated DNA-free plant genome editing. Nature Communications. 8(1). 14406–14406. 360 indexed citations breakdown →

16.

Kim, Hye‐Ran, Sang‐Tae Kim, Jiyeon Kweon, et al.. (2016). A simple, flexible and high‐throughput cloning system for plant genome editing via CRISPR‐Cas system. Journal of Integrative Plant Biology. 58(8). 705–712. 63 indexed citations

17.

Bae, Su‐Ji, et al.. (2016). In vitro Multiplication through Single-Node Culture of Sea-Milkwort (Glaux maritima L.). Horticultural Science and Technology. 34(3). 461–471. 1 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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