Tae‐Hwan Jun

1.0k total citations
48 papers, 747 citations indexed

About

Tae‐Hwan Jun is a scholar working on Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tae‐Hwan Jun has authored 48 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 8 papers in Insect Science and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tae‐Hwan Jun's work include Soybean genetics and cultivation (21 papers), Legume Nitrogen Fixing Symbiosis (15 papers) and Plant Virus Research Studies (9 papers). Tae‐Hwan Jun is often cited by papers focused on Soybean genetics and cultivation (21 papers), Legume Nitrogen Fixing Symbiosis (15 papers) and Plant Virus Research Studies (9 papers). Tae‐Hwan Jun collaborates with scholars based in South Korea, United States and Canada. Tae‐Hwan Jun's co-authors include M. A. Rouf Mian, Andrew P. Michel, Sung-Woo Lee, Sung‐Taeg Kang, Sang Chul Choi, Changsoo Kim, Yong Suk Chung, Yul‐Kyun Ahn, Bo‐Keun Ha and Andy Michel and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and BMC Bioinformatics.

In The Last Decade

Tae‐Hwan Jun

44 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae‐Hwan Jun South Korea 18 639 105 97 94 42 48 747
Sung‐Taeg Kang South Korea 18 855 1.3× 206 2.0× 121 1.2× 121 1.3× 86 2.0× 51 1.0k
Soo-Kwon Park South Korea 14 479 0.7× 32 0.3× 125 1.3× 80 0.9× 34 0.8× 49 564
Guo‐Liang Jiang United States 17 822 1.3× 70 0.7× 60 0.6× 140 1.5× 47 1.1× 35 894
Aleksandra Sudarić Croatia 12 454 0.7× 30 0.3× 69 0.7× 29 0.3× 20 0.5× 86 535
Manoela Miranda Germany 8 481 0.8× 47 0.4× 257 2.6× 19 0.2× 10 0.2× 8 636
M. S. Negi India 13 316 0.5× 18 0.2× 214 2.2× 162 1.7× 14 0.3× 20 475
Myoung‐Jae Shin South Korea 11 266 0.4× 10 0.1× 87 0.9× 64 0.7× 65 1.5× 51 370
G. Pereira Portugal 12 366 0.6× 10 0.1× 58 0.6× 50 0.5× 23 0.5× 24 444
Ricardo Pertuzé Chile 9 272 0.4× 20 0.2× 94 1.0× 29 0.3× 6 0.1× 20 341

Countries citing papers authored by Tae‐Hwan Jun

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Hwan Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Hwan Jun. 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 Tae‐Hwan Jun. The network helps show where Tae‐Hwan Jun may publish in the future.

Co-authorship network of co-authors of Tae‐Hwan Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Hwan Jun. A scholar is included among the top collaborators of Tae‐Hwan Jun 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 Tae‐Hwan Jun. Tae‐Hwan Jun 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.
Ahn, Yul‐Kyun, et al.. (2025). Development of SNP based Markers Associated with Bacterial Wilt Resistance in Pepper (Capsicum annuum). International Journal of Agriculture and Biology. 22(6). 1431–1437.
2.
Park, Jihee, Jeong Hyun Seo, Ji Yoon Lee, et al.. (2024). Identification of New Isolates of Phytophthora sojae and Selection of Resistant Soybean Genotypes. The Plant Pathology Journal. 40(3). 329–335.
3.
4.
Kim, Seong‐Hoon, et al.. (2023). Transcriptome Analysis of Differentially Expressed Genes Associated with Salt Stress in Cowpea (Vigna unguiculata L.) during the Early Vegetative Stage. International Journal of Molecular Sciences. 24(5). 4762–4762. 10 indexed citations
5.
Kim, Ji Hong, et al.. (2023). Development of Speed-Breeding System for Korean Soybean Varieties [Glycine maxa (L.) Merr] Using LED Light Source. Plant Breeding and Biotechnology. 11(1). 49–55. 2 indexed citations
6.
Choi, Sung Hoon, et al.. (2023). Detection of Soybean Insect Pest and a Forecasting Platform Using Deep Learning with Unmanned Ground Vehicles. Agronomy. 13(2). 477–477. 23 indexed citations
7.
Jun, Tae‐Hwan, et al.. (2022). Classification of Soybean [Glycine max (L.) Merr.] Seed Based on Deep Learning Using the YOLOv5 Model. Plant Breeding and Biotechnology. 10(1). 75–80. 5 indexed citations
8.
Manivannan, Abinaya, Tae‐Hwan Jun, Eun-Young Yang, et al.. (2021). Genotyping by Sequencing‐Based Discovery of SNP Markers and Construction of Linkage Map from F5 Population of Pepper with Contrasting Powdery Mildew Resistance Trait. BioMed Research International. 2021(1). 6673010–6673010. 9 indexed citations
9.
Jun, Tae‐Hwan, et al.. (2020). Population Structure and Genetic Diversity in Korean Cowpea Germplasm Based on SNP Markers. Plants. 9(9). 1190–1190. 25 indexed citations
10.
11.
Park, Junwoo, et al.. (2019). Estimation of Fresh Weight, Dry Weight, and Leaf Area Index of Soybean Plant using Multispectral Camera Mounted on Rotor-wing UAV. Korean Journal of Agricultural and Forest Meteorology. 21(4). 327–336. 2 indexed citations
12.
Ahn, Yul‐Kyun, Abinaya Manivannan, Tae‐Hwan Jun, et al.. (2018). Whole Genome Resequencing of Capsicum baccatum and Capsicum annuum to Discover Single Nucleotide Polymorphism Related to Powdery Mildew Resistance. Scientific Reports. 8(1). 5188–5188. 21 indexed citations
13.
Jun, Tae‐Hwan, et al.. (2018). Resistance of Cowpea Cultivars to <i>Meloidogyne arenaria</i> and <i>M. incognita</i> in Korea. Journal of Environmental Science International. 27(12). 1241–1247. 2 indexed citations
14.
Lee, Sung-Woo, Bryan J. Cassone, Asela Wijeratne, et al.. (2017). Transcriptomic dynamics in soybean near-isogenic lines differing in alleles for an aphid resistance gene, following infestation by soybean aphid biotype 2. BMC Genomics. 18(1). 472–472. 21 indexed citations
15.
Jun, Tae‐Hwan, et al.. (2016). A Medium-Late Maturing Glutinous Rice Variety, &#39;Hyowon 2&#39; with Short Clum. Korean Journal of Breeding Science. 48(3). 384–389. 1 indexed citations
16.
Kim, Yong Chul, et al.. (2015). Occurrence and Variation of Soil Nematodes at Continuous Plastic Film House Cultivation in Hot Pepper. Journal of Agriculture & Life Science. 49(2). 1–6. 2 indexed citations
17.
Lee, Sung-Woo, M. A. Rouf Mian, Tae‐Hwan Jun, et al.. (2015). Identification and mapping of quantitative trait loci (QTL) conferring resistance to Fusarium graminearum from soybean PI 567301B. Theoretical and Applied Genetics. 128(5). 827–838. 24 indexed citations
18.
Shin, Jin Hee, Kyujung Van, Kyung Do Kim, et al.. (2011). Molecular sequence variations of the lipoxygenase-2 gene in soybean. Theoretical and Applied Genetics. 124(4). 613–622. 15 indexed citations
19.
Van, Kyujung, et al.. (2009). Analysis of EMS Mutagenized Soybean by Combination of DOP-PCR and GS-FLX. 453–454.
20.
Jun, Tae‐Hwan, et al.. (2009). Genetic analysis of new short petiole gene in soybean. Journal of Crop Science and Biotechnology. 12(2). 87–89. 9 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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