Changsoo Kim

4.6k total citations
119 papers, 2.8k citations indexed

About

Changsoo Kim is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Changsoo Kim has authored 119 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Plant Science, 38 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Changsoo Kim's work include Genetic Mapping and Diversity in Plants and Animals (15 papers), Bioenergy crop production and management (13 papers) and Fuel Cells and Related Materials (10 papers). Changsoo Kim is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (15 papers), Bioenergy crop production and management (13 papers) and Fuel Cells and Related Materials (10 papers). Changsoo Kim collaborates with scholars based in South Korea, United States and China. Changsoo Kim's co-authors include Andrew H. Paterson, Hui Guo, Marc S. Wold, Xiyin Wang, Kumariah Manoharan, Thirupathi Karuppanapandian, Wook Kim, Tae‐Ho Lee, Won‐Young Lee and Richard O. Snyder and has published in prestigious journals such as The Plant Cell, Molecular and Cellular Biology and Biochemistry.

In The Last Decade

Changsoo Kim

110 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changsoo Kim South Korea 25 1.3k 835 572 433 369 119 2.8k
Shengyi Liu China 37 3.4k 2.6× 2.1k 2.5× 458 0.8× 282 0.7× 114 0.3× 173 4.7k
Hongyan Zhu United States 29 3.1k 2.4× 574 0.7× 121 0.2× 424 1.0× 171 0.5× 62 4.0k
Yongxing Chen China 29 852 0.7× 372 0.4× 245 0.4× 127 0.3× 389 1.1× 141 3.1k
Michael Binns Canada 28 2.1k 1.6× 453 0.5× 510 0.9× 98 0.2× 576 1.6× 114 3.9k
Xiangbin Chen China 19 1.1k 0.8× 741 0.9× 466 0.8× 90 0.2× 261 0.7× 51 2.0k
Xiaobo Wang China 25 943 0.7× 745 0.9× 272 0.5× 77 0.2× 129 0.3× 129 2.4k
Mengfei Li China 24 873 0.7× 716 0.9× 106 0.2× 103 0.2× 208 0.6× 144 2.0k
Jie Zheng China 30 440 0.3× 1.1k 1.3× 123 0.2× 108 0.2× 153 0.4× 141 2.6k
Rong Liu China 28 1.3k 1.0× 574 0.7× 298 0.5× 86 0.2× 319 0.9× 130 2.4k
Huaiyu Zhang China 30 1.0k 0.8× 521 0.6× 65 0.1× 297 0.7× 288 0.8× 119 2.3k

Countries citing papers authored by Changsoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Changsoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsoo Kim

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

All Works

20 of 20 papers shown
1.
Kim, Changsoo, et al.. (2025). Chromosome-scale genome assembly of Korean goosegrass (Eleusine indica). Scientific Data. 12(1). 156–156.
3.
Kang, Yuna, et al.. (2025). Chromosome-level genome assembly of Salvia sclarea. Scientific Data. 12(1). 14–14. 2 indexed citations
4.
Kim, Changsoo, Matthew Eames, & Dong‐Guk Paeng. (2023). Improving Sonication Efficiency in Transcranial MR-Guided Focused Ultrasound Treatment: A Patient-Data Simulation Study. Bioengineering. 11(1). 27–27. 3 indexed citations
5.
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
6.
Kang, Yuna, Jun‐Ho Song, Ye Jin Kim, et al.. (2023). A Frameshift Mutation in the Mg-Chelatase I Subunit Gene OsCHLI Is Associated with a Lethal Chlorophyll-Deficient, Yellow Seedling Phenotype in Rice. Plants. 12(15). 2831–2831. 7 indexed citations
7.
Kim, Changsoo, et al.. (2020). Effect of salt stress on the anthocyanin content and associated genes in Sorghum bicolor L.. Korean Journal of Agricultural Science. 47(1). 105–117. 8 indexed citations
8.
Kim, Changsoo, et al.. (2020). Effect of salt stress on the anthocyanin content and associated genes in Sorghum bicolor L.. Korean Journal of Agricultural Science. 47(1). 105–117. 4 indexed citations
9.
Kim, Changsoo, et al.. (2019). Effect of flour color and starch pasting properties on color of noodle dough sheet and texture of cooked noodles in Korean wheat cultivars.. International Journal of Agriculture and Biology. 21(2). 271–281. 8 indexed citations
10.
Kong, Wenqian, Changsoo Kim, Dong Zhang, et al.. (2018). Genotyping by Sequencing of 393 Sorghum bicolor BTx623 × IS3620C Recombinant Inbred Lines Improves Sensitivity and Resolution of QTL Detection. G3 Genes Genomes Genetics. 8(8). 2563–2572. 23 indexed citations
11.
Khanal, Sameer, et al.. (2017). SSR-enriched genetic linkage maps of bermudagrass (Cynodon dactylon × transvaalensis), and their comparison with allied plant genomes. Theoretical and Applied Genetics. 130(4). 819–839. 11 indexed citations
12.
Jeon, Jin, Jae Kwang Kim, Hyeran Kim, et al.. (2017). Transcriptome analysis and metabolic profiling of green and red kale (Brassica oleracea var. acephala) seedlings. Food Chemistry. 241. 7–13. 63 indexed citations
13.
Kim, Changsoo, et al.. (2011). Correlation of Above- and Below-ground Biomass Between Natural and Planted Stands of Pinus densiflora for. erecta of One Age-class in Gangwon Province. Journal of Korean Society of Forest Science. 100(1). 42–51. 2 indexed citations
14.
Karuppanapandian, Thirupathi, et al.. (2011). Reactive Oxygen Species in Plants: Their Generation, Signal Transduction, and Scavenging Mechanisms. Australian Journal of Crop Science. 5(6). 709–725. 416 indexed citations
15.
Kim, Changsoo, et al.. (2010). Flowering and Nectar Secretion Characteristics of Tilia amurensis Rupr : and Tilia manshurica Rupr. et Max.. Journal of Apiculture. 25(3). 217–221. 2 indexed citations
16.
Jung, Wooyoung, et al.. (2010). Monitoring Bacillus cereus and Aerobic Bacteria in Raw Infant Formula and Microbial Quality Control during Manufacturing. Korean Journal of Food Science and Technology. 42(4). 494–501. 2 indexed citations
17.
Oh, Chang‐Young, et al.. (2009). Family Selection on Height Growth in Open-Pollinated Progeny Trials of Pinus densiflora Using Relative Height Growth Rate. Korean Journal of Breeding Science. 41(3). 220–227. 1 indexed citations
18.
Kim, Mi‐Ra, et al.. (2008). Monitoring of Pesticide Residues in Special Products. 12(4). 323–334. 19 indexed citations
19.
Oh, Chang‐Young, et al.. (2008). Differences of physiological responses according to growing conditions between superior family and inferior family in Pinus densiflora.. Korean Journal of Breeding Science. 40(2). 136–142. 1 indexed citations
20.
Oh, Chang‐Young, et al.. (2007). Time trends for genetic parameters of growth traits in open-pollinated progenies of Pinus densiflora.. Korean Journal of Breeding Science. 39(4). 457–463. 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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