Ju-Won Kang

636 total citations
55 papers, 402 citations indexed

About

Ju-Won Kang is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Ju-Won Kang has authored 55 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 29 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Ju-Won Kang's work include Rice Cultivation and Yield Improvement (30 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and GABA and Rice Research (19 papers). Ju-Won Kang is often cited by papers focused on Rice Cultivation and Yield Improvement (30 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and GABA and Rice Research (19 papers). Ju-Won Kang collaborates with scholars based in South Korea, Japan and United States. Ju-Won Kang's co-authors include Sang-Nag Ahn, Hyun‐Sook Lee, Dongjin Shin, Jong‐Hee Lee, Hyun‐Sook Lee, Dong-Soo Park, Jun‐Hyeon Cho, Youngho Kwon, So-Myeong Lee and Won‐Yong Song and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Ju-Won Kang

50 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ju-Won Kang South Korea	12	361	193	62	26	15	55	402
C. Anilkumar India	11	369 1.0×	140 0.7×	64 1.0×	28 1.1×	10 0.7×	57	400
Sérgio Tadeu Sibov Brazil	10	384 1.1×	148 0.8×	81 1.3×	18 0.7×	26 1.7×	28	433
Bishnu Charan Marndi India	12	367 1.0×	167 0.9×	47 0.8×	14 0.5×	14 0.9×	28	399
B. C. Viraktamath India	13	532 1.5×	241 1.2×	132 2.1×	24 0.9×	22 1.5×	28	567
Chengfang Zhan China	12	418 1.2×	83 0.4×	86 1.4×	42 1.6×	9 0.6×	17	458
Sukumar Mesapogu India	9	324 0.9×	148 0.8×	41 0.7×	38 1.5×	12 0.8×	14	356
Daniele Trebbi Italy	12	290 0.8×	109 0.6×	63 1.0×	17 0.7×	18 1.2×	21	350
F. Fusari Italy	6	314 0.9×	140 0.7×	84 1.4×	32 1.2×	18 1.2×	7	373
Nimai Prasad Mandal India	11	397 1.1×	121 0.6×	67 1.1×	31 1.2×	12 0.8×	19	416
Ivone de Bem Oliveira United States	11	282 0.8×	160 0.8×	33 0.5×	20 0.8×	21 1.4×	16	347

Countries citing papers authored by Ju-Won Kang

Since Specialization

Citations

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

Fields of papers citing papers by Ju-Won Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-Won 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 Ju-Won Kang. The network helps show where Ju-Won Kang may publish in the future.

Co-authorship network of co-authors of Ju-Won Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Ju-Won Kang. A scholar is included among the top collaborators of Ju-Won 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 Ju-Won Kang. Ju-Won 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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20 of 20 papers shown

Jo, Sumin, Ju-Won Kang, So-Myeong Lee, et al.. (2025). Integrating molecular markers and phenotypic analysis to assess cold tolerance in rice germplasm. Molecular Breeding. 45(2). 23–23. 1 indexed citations

Lee, So-Myeong, et al.. (2025). Rice gs3 allele and low-nitrogen conditions enrich rhizosphere microbiota that mitigate methane emissions and promote beneficial crop traits. The ISME Journal. 20(1).

Lee, Ji-Yoon, Ju-Won Kang, So-Myeong Lee, et al.. (2024). Identification of QTLs Related to Plant Growth at Low Temperatures in the Seedling Stage of Tongil Type Rice after Transplanting. Korean Journal of Breeding Science. 56(3). 225–235. 1 indexed citations

Kabange, Nkulu Rolly, Dong-Soo Park, Youngho Kwon, et al.. (2023). Rice (Oryza sativa L.) Grain Size, Shape, and Weight-Related QTLs Identified Using GWAS with Multiple GAPIT Models and High-Density SNP Chip DNA Markers. Plants. 12(23). 4044–4044. 3 indexed citations

Kim, Jiyoon, Jung Soo Kim, Jun‐Hyeon Cho, et al.. (2023). Quality Characteristics of Rice-Based Ice Creams with Different Amylose Contents. Foods. 12(7). 1518–1518. 1 indexed citations

Kabange, Nkulu Rolly, Youngho Kwon, So-Myeong Lee, et al.. (2023). Mitigating Greenhouse Gas Emissions from Crop Production and Management Practices, and Livestock: A Review. Sustainability. 15(22). 15889–15889. 11 indexed citations

Lee, So-Myeong, Nkulu Rolly Kabange, Ju-Won Kang, et al.. (2023). Identifying QTLs Related to Grain Filling Using a Doubled Haploid Rice (Oryza sativa L.) Population. Agronomy. 13(3). 912–912. 1 indexed citations

Kabange, Nkulu Rolly, So-Myeong Lee, Dongjin Shin, et al.. (2022). Multiple Facets of Nitrogen: From Atmospheric Gas to Indispensable Agricultural Input. Life. 12(8). 1272–1272. 9 indexed citations

Lee, Ji Yoon, Ju-Won Kang, Hyunggon Mang, et al.. (2022). A Novel Locus for Bakanae Disease Resistance, qBK4T, Identified in Rice. Agronomy. 12(10). 2567–2567. 10 indexed citations

10.

Adeva, Cheryl, et al.. (2022). QTL Mapping of Mineral Element Contents in Rice Using Introgression Lines Derived from an Interspecific Cross. Agronomy. 13(1). 76–76. 5 indexed citations

11.

Kwon, Youngho, Nkulu Rolly Kabange, Ji-Yoon Lee, et al.. (2021). RNA-Seq and Electrical Penetration Graph Revealed the Role of Grh1-Mediated Activation of Defense Mechanisms towards Green Rice Leafhopper (Nephotettix cincticeps Uhler) Resistance in Rice (Oryza sativa L.). International Journal of Molecular Sciences. 22(19). 10696–10696. 8 indexed citations

12.

Lee, Hyun‐Sook, et al.. (2021). Natural variation in rice ascorbate peroxidase gene APX9 is associated with a yield-enhancing QTL cluster. Journal of Experimental Botany. 72(12). 4254–4268. 11 indexed citations

13.

Kim, Namgyu, Sumin Jo, Jiyoun Lee, et al.. (2021). Mapping of a Major QTL, qBK1Z, for Bakanae Disease Resistance in Rice. Plants. 10(3). 434–434. 19 indexed citations

14.

Kwon, Youngho, Nkulu Rolly Kabange, Ji-Yun Lee, et al.. (2021). Novel QTL Associated with Shoot Branching Identified in Doubled Haploid Rice (Oryza sativa L.) under Low Nitrogen Cultivation. Genes. 12(5). 745–745. 9 indexed citations

15.

Kang, Ju-Won, Nkulu Rolly Kabange, So-Myeong Lee, et al.. (2020). Combined Linkage Mapping and Genome-Wide Association Study Identified QTLs Associated with Grain Shape and Weight in Rice (Oryza sativa L.). Agronomy. 10(10). 1532–1532. 12 indexed citations

16.

Kang, Ju-Won, Dongjin Shin, Jun‐Hyeon Cho, et al.. (2019). Accelerated development of rice stripe virus-resistant, near-isogenic rice lines through marker-assisted backcrossing. PLoS ONE. 14(12). e0225974–e0225974. 12 indexed citations

17.

Lee, Hyun‐Sook, Kazuhiro Sasaki, Ju-Won Kang, et al.. (2017). Mesocotyl Elongation is Essential for Seedling Emergence Under Deep-Seeding Condition in Rice. Rice. 10(1). 32–32. 54 indexed citations

18.

Lee, Hyun‐Sook, et al.. (2017). Fine mapping and candidate gene analysis of the quantitative trait locus gw8.1 associated with grain length in rice. Genes & Genomics. 40(4). 389–397. 13 indexed citations

19.

Lee, Hyun‐Sook, et al.. (2012). Identification of Molecular Markers for Mesocotyl Elongation in Weedy Rice. Korean Journal of Breeding Science. 44(3). 238–244. 9 indexed citations

20.

Kang, Ju-Won, et al.. (2011). Mapping Grain Weight QTL Using Near Isogenic Lines from an Interspecific Cross. Korean Journal of Breeding Science. 43(4). 236–242. 3 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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