Taeyoung Lee

9.7k total citations · 1 hit paper
32 papers, 5.4k citations indexed

About

Taeyoung Lee is a scholar working on Plant Science, Molecular Biology and Automotive Engineering. According to data from OpenAlex, Taeyoung Lee has authored 32 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 13 papers in Molecular Biology and 4 papers in Automotive Engineering. Recurrent topics in Taeyoung Lee's work include Soybean genetics and cultivation (12 papers), Legume Nitrogen Fixing Symbiosis (7 papers) and Genomics and Phylogenetic Studies (5 papers). Taeyoung Lee is often cited by papers focused on Soybean genetics and cultivation (12 papers), Legume Nitrogen Fixing Symbiosis (7 papers) and Genomics and Phylogenetic Studies (5 papers). Taeyoung Lee collaborates with scholars based in South Korea, Indonesia and United States. Taeyoung Lee's co-authors include Xuewen Wang, Haibao Tang, Barry S. Marler, Hui Guo, Jeremy D. DeBarry, Jin Huang, Jun Li, Jessica C. Kissinger, Xu Tan and Yupeng Wang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Taeyoung Lee

31 papers receiving 5.4k citations

Hit Papers

MCScanX: a toolkit for detection and evolutionary analysi... 2012 2026 2016 2021 2012 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity
    2012 4.8k citations Yupeng Wang, Haibao Tang et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taeyoung Lee South Korea 14 3.8k 3.4k 522 311 229 32 5.4k
Jeremy D. DeBarry United States 15 3.7k 1.0× 3.6k 1.0× 610 1.2× 417 1.3× 246 1.1× 21 5.7k
Kevin L. Childs United States 37 4.0k 1.0× 3.1k 0.9× 1.1k 2.1× 418 1.3× 241 1.1× 85 5.8k
Hui Guo China 27 4.3k 1.1× 4.0k 1.2× 1.0k 1.9× 393 1.3× 278 1.2× 80 7.0k
Shujun Ou United States 22 4.2k 1.1× 2.8k 0.8× 1.0k 1.9× 425 1.4× 147 0.6× 34 5.4k
Foo Cheung United States 25 2.9k 0.7× 2.3k 0.7× 579 1.1× 289 0.9× 241 1.1× 33 4.5k
Aureliano Bombarely United States 31 2.9k 0.8× 2.2k 0.7× 495 0.9× 312 1.0× 122 0.5× 86 4.0k
Ronan C. O’Malley United States 31 5.0k 1.3× 5.9k 1.7× 1.1k 2.0× 271 0.9× 138 0.6× 56 8.7k
Stéphane Rombauts Belgium 42 4.4k 1.2× 4.4k 1.3× 463 0.9× 347 1.1× 581 2.5× 84 6.8k
Hongkun Zheng China 32 3.2k 0.9× 2.9k 0.8× 1.4k 2.7× 296 1.0× 328 1.4× 67 6.1k

Countries citing papers authored by Taeyoung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Taeyoung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeyoung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Taeyoung Lee. A scholar is included among the top collaborators of Taeyoung Lee 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 Taeyoung Lee. Taeyoung Lee 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, Seongryong, Yeji Lee, Caiwu Li, et al.. (2024). Innate immune responses against mRNA vaccine promote cellular immunity through IFN-β at the injection site. Nature Communications. 15(1). 7226–7226. 20 indexed citations
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Lee, Jayern, Sangrea Shim, Jungmin Ha, et al.. (2023). Unraveling the maternal and paternal origins of allotetraploid Vigna reflexo-pilosa. Scientific Reports. 13(1). 22951–22951. 3 indexed citations
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Kim, Myung‐Shin, Taeyoung Lee, Jeong-Hun Baek, et al.. (2021). Genome assembly of the popular Korean soybean cultivar Hwangkeum. G3 Genes Genomes Genetics. 11(10). 8 indexed citations
7.
Ha, Jungmin, Sangrea Shim, Taeyoung Lee, et al.. (2020). Transcriptomic and biochemical analyses of the accumulation of sucrose in mungbean (Vigna radiata (L.) Wilczek) leaves after pod removal. Theoretical and Applied Genetics. 133(8). 2355–2362. 5 indexed citations
8.
Yoon, Min Young, Moon Young Kim, Jungmin Ha, et al.. (2019). QTL Analysis of Resistance to High-Intensity UV-B Irradiation in Soybean (Glycine max [L.] Merr.). International Journal of Molecular Sciences. 20(13). 3287–3287. 11 indexed citations
9.
Ha, Jungmin, Young‐Gyu Kang, Taeyoung Lee, et al.. (2019). Comprehensive RNA sequencing and co-expression network analysis to complete the biosynthetic pathway of coumestrol, a phytoestrogen. Scientific Reports. 9(1). 1934–1934. 26 indexed citations
10.
Lee, Taeyoung, Moon Young Kim, Jungmin Ha, & Suk‐Ha Lee. (2018). Detection of large sequence insertions by a hybrid approach that combine de novo assembly and resequencing of medium-coverage genome sequences. Genome. 61(10). 745–754. 1 indexed citations
11.
Oh, Changhoon, et al.. (2017). Us vs. Them. 2523–2534. 52 indexed citations
12.
Kang, Yang Jae, Sangrea Shim, Taeyoung Lee, et al.. (2017). Genome-wide DNA methylation profile in mungbean. Scientific Reports. 7(1). 40503–40503. 11 indexed citations
13.
Kang, Yang Jae, Taeyoung Lee, Jayern Lee, et al.. (2015). Translational genomics for plant breeding with the genome sequence explosion. Plant Biotechnology Journal. 14(4). 1057–1069. 33 indexed citations
14.
Kang, Yang Jae, Dani Satyawan, Sangrea Shim, et al.. (2015). Draft genome sequence of adzuki bean, Vigna angularis. Scientific Reports. 5(1). 8069–8069. 122 indexed citations
15.
Lee, Taeyoung, Yang Jae Kang, Won Hwang, et al.. (2014). Genome-wide comparative analysis of flowering genes between Arabidopsis and mungbean. Genes & Genomics. 36(6). 799–808. 11 indexed citations
16.
Kim, Moon Young, Yang Jae Kang, Taeyoung Lee, & Suk‐Ha Lee. (2014). Circadian clock and photoperiodic flowering genes in adzuki bean (Vigna angularis [Willd.] Ohwi & H. Ohashi). Plant Genetic Resources. 12(S1). S49–S53. 2 indexed citations
17.
Lee, Taeyoung, et al.. (2013). Fluorescent proteins as biosensors by quenching resonance energy transfer from endogenous tryptophan: Detection of nitroaromatic explosives. Biosensors and Bioelectronics. 48. 251–257. 24 indexed citations
18.
Wang, Yupeng, Haibao Tang, Jeremy D. DeBarry, et al.. (2012). MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Research. 40(7). e49–e49. 4776 indexed citations breakdown →
19.
Kim, Hyun, et al.. (2011). Analysis of the Transition of Landscape Plants on an Apartment Complexes since 1990’s. Journal of the Korea Society of Environmental Restoration Technology. 14(6). 41–55. 1 indexed citations
20.

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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