Do Yoon Hyun

566 total citations
51 papers, 392 citations indexed

About

Do Yoon Hyun is a scholar working on Plant Science, Genetics and Food Science. According to data from OpenAlex, Do Yoon Hyun has authored 51 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 12 papers in Genetics and 11 papers in Food Science. Recurrent topics in Do Yoon Hyun's work include Food Quality and Safety Studies (7 papers), Agriculture, Soil, Plant Science (6 papers) and Food composition and properties (6 papers). Do Yoon Hyun is often cited by papers focused on Food Quality and Safety Studies (7 papers), Agriculture, Soil, Plant Science (6 papers) and Food composition and properties (6 papers). Do Yoon Hyun collaborates with scholars based in South Korea, United States and India. Do Yoon Hyun's co-authors include Gyu‐Taek Cho, Kyung Jun Lee, Jung Ro Lee, Sebastin Raveendar, Myung Chul Lee, Seong‐Hoon Kim, Gi-An Lee, Myoung‐Jae Shin, Ju Kyong Lee and Kyu Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Do Yoon Hyun

47 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do Yoon Hyun South Korea 12 245 114 98 88 51 51 392
Myoung‐Jae Shin South Korea 11 266 1.1× 64 0.6× 87 0.9× 58 0.7× 54 1.1× 51 370
Hyung-Jin Baek South Korea 13 384 1.6× 93 0.8× 170 1.7× 50 0.6× 25 0.5× 49 484
Edwige Gaby Nkouaya Mbanjo Nigeria 12 400 1.6× 89 0.8× 88 0.9× 73 0.8× 86 1.7× 24 515
Romit Seth India 15 285 1.2× 54 0.5× 297 3.0× 34 0.4× 44 0.9× 25 506
Soo-Kwon Park South Korea 14 479 2.0× 80 0.7× 125 1.3× 50 0.6× 26 0.5× 49 564
Seok‐Cheol Suh South Korea 12 499 2.0× 57 0.5× 345 3.5× 36 0.4× 26 0.5× 30 682
M. K. Meegahakumbura Sri Lanka 10 100 0.4× 90 0.8× 79 0.8× 53 0.6× 23 0.5× 16 274
Huhn-Pal Moon South Korea 7 258 1.1× 90 0.8× 76 0.8× 67 0.8× 38 0.7× 14 387
Mingchao Zhao China 7 230 0.9× 86 0.8× 128 1.3× 25 0.3× 45 0.9× 9 335
L. N. Pietrzak Canada 11 247 1.0× 33 0.3× 62 0.6× 69 0.8× 66 1.3× 12 353

Countries citing papers authored by Do Yoon Hyun

Since Specialization
Citations

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

Fields of papers citing papers by Do Yoon Hyun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Yoon Hyun. 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 Do Yoon Hyun. The network helps show where Do Yoon Hyun may publish in the future.

Co-authorship network of co-authors of Do Yoon Hyun

This figure shows the co-authorship network connecting the top 25 collaborators of Do Yoon Hyun. A scholar is included among the top collaborators of Do Yoon Hyun 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 Do Yoon Hyun. Do Yoon Hyun 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.
Nawade, Bhagwat, et al.. (2025). Integrative multi-locus GWAS and SNP effect analysis reveal the genetic basis of heading, maturity, and grain-filling duration in a bread wheat. Plant Physiology and Biochemistry. 229(Pt D). 110729–110729.
2.
Wang, Xiaohan, Seungbum Lee, Gyu‐Taek Cho, et al.. (2022). Classification of 17 species Aegilops using DNA barcoding and SNPs, reveals gene flow among Aegilops biuncialis, Aegilops juvenalis, and Aegilops columnaris. Frontiers in Plant Science. 13. 984825–984825. 2 indexed citations
3.
Ro, Na‐Young, et al.. (2022). Genome-Wide Association Study for Agro-Morphological Traits in Eggplant Core Collection. Plants. 11(19). 2627–2627. 8 indexed citations
4.
Raveendar, Sebastin, Xiaohan Wang, Kyung Jun Lee, et al.. (2021). Identification of Vicia Species Native to South Korea Using Molecular and Morphological Characteristics. Frontiers in Plant Science. 12. 608559–608559. 17 indexed citations
5.
Jin, Kyu, Dong‐Min Kim, Jun Oh, et al.. (2021). Construction of a core collection of native Perilla germplasm collected from South Korea based on SSR markers and morphological characteristics. Scientific Reports. 11(1). 23891–23891. 20 indexed citations
6.
Hyun, Do Yoon, et al.. (2020). Evaluation of Morphological Traits and Genetic Composition in Melon Germplasm. The Korean Journal of Crop Science. 65(4). 485–495. 1 indexed citations
7.
Hyun, Do Yoon, Hyemyeong Yoon, Myung‐Chul Lee, et al.. (2020). Agricultural Characters, Phenolic and Nutritional Contents, and Antioxidant Activities of Pigeon Pea (Cajanus cajan) Germplasms Cultivated in the Republic of Korea. Korean Journal of Plant Resources. 33(1). 50–61. 8 indexed citations
8.
Hyun, Do Yoon, Sebastin Raveendar, Kyung Jun Lee, et al.. (2020). Genotyping-by-Sequencing Derived Single Nucleotide Polymorphisms Provide the First Well-Resolved Phylogeny for the Genus Triticum (Poaceae). Frontiers in Plant Science. 11. 688–688. 17 indexed citations
9.
Rauf, Muhammad, et al.. (2020). Evaluation of Fagopyrum esculentum Moench germplasm based on agro-morphological traits and the rutin and quercetin content of seeds under spring cultivation. Genetic Resources and Crop Evolution. 67(6). 1385–1403. 19 indexed citations
10.
Hyun, Do Yoon, et al.. (2020). Utilization of Phytochemical and Molecular Diversity to Develop a Target-Oriented Core Collection in Tea Germplasm. Agronomy. 10(11). 1667–1667. 10 indexed citations
11.
Mekapogu, Manjulatha, et al.. (2020). Identification of standard type cultivars in Chrysanthemum (Dendranthema grandiflorum) using SSR markers. Horticulture Environment and Biotechnology. 61(1). 153–161. 10 indexed citations
12.
Oh, Jun, Kyu Jin, Do Yoon Hyun, Gyu‐Taek Cho, & Ju Kyong Lee. (2020). Assessment of genetic diversity and population structure among a collection of Korean Perilla germplasms based on SSR markers. Genes & Genomics. 42(12). 1419–1430. 10 indexed citations
13.
Yoon, Hyemyeong, et al.. (2019). Statistical analysis of protein content in wheat germplasm based on near-infrared reflectance spectroscopy.. The Korean Journal of Crop Science. 64(4). 353–365. 2 indexed citations
14.
15.
Hyun, Do Yoon, et al.. (2018). Comparison of Growth Characteristics and Flavonoids Content by Different Cultivation Seasons in Buckwheat Germplasm. Korean Journal of Plant Resources. 31(5). 489–497. 4 indexed citations
16.
17.
Ali, Asjad, et al.. (2017). Development of EST-SSRs and assessment of genetic diversity in little millet (Panicum sumatrense) germplasm. ePublications@SCU (Southern Cross University). 30(3). 287–297. 4 indexed citations
18.
Lee, Gi-An, Young‐Ah Jeon, Ho‐Sun Lee, et al.. (2017). New Genetic Loci Associated with Preharvest Sprouting and Its Evaluation Based on the Model Equation in Rice. Frontiers in Plant Science. 8. 1393–1393. 17 indexed citations
19.
Hyun, Do Yoon, et al.. (2015). Selection of Tolerant Rice Germplasm Through Phenotypic and Genotypic Evaluation for Germination Under Low Temperatures. Plant Breeding and Biotechnology. 3(3). 253–263. 1 indexed citations
20.
Kim, Chang‐Kug, et al.. (2008). PlantGI: a database for searching gene indices in agricultural plants developed at NIAB, Korea. Bioinformation. 2(8). 344–345. 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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