Soon-Wook Kwon

572 total citations
27 papers, 412 citations indexed

About

Soon-Wook Kwon is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Soon-Wook Kwon has authored 27 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 15 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Soon-Wook Kwon's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Rice Cultivation and Yield Improvement (9 papers) and GABA and Rice Research (8 papers). Soon-Wook Kwon is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Rice Cultivation and Yield Improvement (9 papers) and GABA and Rice Research (8 papers). Soon-Wook Kwon collaborates with scholars based in South Korea, China and Puerto Rico. Soon-Wook Kwon's co-authors include Yong‐Jin Park, Joohyun Lee, Hee‐Jong Koh, Kyung‐Ho Ma, Weiguo Zhao, Jeong-Heui Lee, Tae‐Ho Ham, Wenzhu Jiang, Mi‐Ok Woo and Jong‐Wook Chung and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Frontiers in Plant Science.

In The Last Decade

Soon-Wook Kwon

25 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soon-Wook Kwon South Korea	12	296	137	82	49	37	27	412
Shu Yao China	10	330 1.1×	92 0.7×	246 3.0×	55 1.1×	10 0.3×	47	495
Bin Wei China	11	245 0.8×	53 0.4×	143 1.7×	62 1.3×	31 0.8×	25	439
Faisal Saeed Awan Pakistan	14	445 1.5×	118 0.9×	133 1.6×	22 0.4×	9 0.2×	70	590
J. C. Sekhar India	10	274 0.9×	87 0.6×	100 1.2×	27 0.6×	14 0.4×	58	402
Steven K. St. Martin United States	16	1.1k 3.6×	47 0.3×	272 3.3×	44 0.9×	18 0.5×	26	1.2k
Shaobo Luo China	10	279 0.9×	197 1.4×	185 2.3×	11 0.2×	8 0.2×	18	399
Xianchun Xia China	17	762 2.6×	276 2.0×	106 1.3×	74 1.5×	5 0.1×	44	813
P.J. Terzopoulos Greece	10	303 1.0×	87 0.6×	42 0.5×	10 0.2×	21 0.6×	11	377
Yuanchao Xu China	12	433 1.5×	232 1.7×	302 3.7×	15 0.3×	6 0.2×	27	607

Countries citing papers authored by Soon-Wook Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Soon-Wook Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon-Wook Kwon. 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 Soon-Wook Kwon. The network helps show where Soon-Wook Kwon may publish in the future.

Co-authorship network of co-authors of Soon-Wook Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Soon-Wook Kwon. A scholar is included among the top collaborators of Soon-Wook Kwon 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 Soon-Wook Kwon. Soon-Wook Kwon 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

Kim, Backki, et al.. (2025). Epiallelic Variation of TILLER ANGLE CONTROL 5 (TAC5) Regulates Tiller Angle by Modulating Gravitropism in Rice. Rice. 18(1). 44–44.

Kim, Backki, et al.. (2025). Identification of superior haplotype and haplotype combinations for UV-B stress-related genes in Rice (Oryza sativa L.). Plant Biotechnology Reports. 19(2). 137–145.

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

Kim, Backki, et al.. (2022). Mutations in OsDET1, OsCOP10, and OsDDB1 confer embryonic lethality and alter flavonoid accumulation in Rice (Oryza sativa L.) seed. Frontiers in Plant Science. 13. 952856–952856. 2 indexed citations

Kwon, Soon-Wook, et al.. (2021). Evaluation of the Rsistant to Bakanae Disease in Korean Rice Landraces (Oryza sativa L.). Plant Breeding and Biotechnology. 9(4). 355–359. 1 indexed citations

Wang, Heng, So‐Yeon Park, Yong‐Chul Kim, et al.. (2020). Analysis of complete chloroplast genome sequence of Korean landrace Cymbidium goeringii. 3 Biotech. 10(1). 29–29. 6 indexed citations

Zhang, Hongjia, et al.. (2020). Detection of Whole-Genome Resequencing-Based QTLs Associated with Pre-Harvest Sprouting in Rice (Oryza sativa L.). Plant Breeding and Biotechnology. 8(4). 396–404. 7 indexed citations

Wang, Heng, Joohyun Lee, Tae‐Ho Ham, et al.. (2018). Genome-wide association study reveals candidate genes related to low temperature tolerance in rice (Oryza sativa) during germination. 3 Biotech. 8(5). 235–235. 19 indexed citations

Kim, Backki, Sunmin Woo, Mi‐Jung Kim, et al.. (2017). Identification and quantification of flavonoids in yellow grain mutant of rice (Oryza sativa L.). Food Chemistry. 241. 154–162. 43 indexed citations

10.

Ryu, Jaihyunk, et al.. (2016). Chemical and genetic diversity of high-seed-yield sorghum (Sorghum bicolor M.) germplasms. Genetics and Molecular Research. 15(3). 2 indexed citations

11.

Lee, Joohyun, et al.. (2015). A quantitative shotgun proteomics analysis of germinated rice embryos and coleoptiles under low-temperature conditions. Proteome Science. 13(1). 27–27. 12 indexed citations

12.

Park, Yong‐Jin, Xiaoqiang Wang, & Soon-Wook Kwon. (2013). Evaluation of genetic diversity and linkage disequilibrium in Korean-bred rice varieties using SSR markers. Electronic Journal of Biotechnology. 16(5). 9 indexed citations

13.

Zhao, Weiguo, Jong‐Wook Chung, Soon-Wook Kwon, et al.. (2012). Association analysis of physicochemical traits on eating quality in rice (Oryza sativa L.). Euphytica. 191(1). 9–21. 35 indexed citations

14.

Kwon, Soon-Wook, et al.. (2012). SNP Marker Integration and QTL Analysis of 12 Agronomic and Morphological Traits in F8RILs of Pepper (Capsicum annuum L.). Molecules and Cells. 34(1). 25–34. 23 indexed citations

15.

Moe, Kyaw Thu, Soon-Wook Kwon, & Yong‐Jin Park. (2012). Trends in genomics and molecular marker systems for the development of some underutilized crops. Genes & Genomics. 34(5). 451–466. 10 indexed citations

16.

Park, Yong‐Jin, et al.. (2012). Development of cDNA-derived SSR markers and their efficiency in diversity assessment of Cymbidium accessions. Electronic Journal of Biotechnology. 15(2). 3 indexed citations

17.

Li, Gang, et al.. (2011). Developing EST-SSR markers to study molecular diversity in Liriope and Ophiopogon. Biochemical Systematics and Ecology. 39(4-6). 241–252. 29 indexed citations

18.

Jiang, Wenzhu, Joohyun Lee, Yong‐Mei Jin, et al.. (2011). Identification of QTLs for Seed Germination Capability after Various Storage Periods Using Two RIL Populations in Rice. Molecules and Cells. 31(4). 385–392. 42 indexed citations

19.

Jeon, H. S., et al.. (2011). Fall detection algorithm for the elderly using acceleration sensors on the shoes. 4935–4938. 44 indexed citations

20.

Kwon, Soon-Wook, et al.. (2003). Ribosomal DNA Gene Analysis of Dematiaceous Fungi Using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism. Linchuang pifuke zazhi. 41(11). 1478–1486. 2 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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