Tak Lee

2.3k total citations
31 papers, 1.2k citations indexed

About

Tak Lee is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Tak Lee has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Tak Lee's work include Bioinformatics and Genomic Networks (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genomics and Phylogenetic Studies (6 papers). Tak Lee is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genomics and Phylogenetic Studies (6 papers). Tak Lee collaborates with scholars based in United Kingdom, South Korea and United States. Tak Lee's co-authors include Insuk Lee, Giles Oldroyd, Bernd W. Spur, Claire E. Horton, U Kyan-Aung, Dorian O. Haskard, Hyojin Kim, Sunmo Yang, Jung Eun Shim and Katharina Schiessl and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Tak Lee

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tak Lee United Kingdom 18 716 387 130 119 104 31 1.2k
Dongwen Lv United States 28 961 1.3× 1.0k 2.7× 127 1.0× 94 0.8× 70 0.7× 50 2.0k
Chung Sun An South Korea 22 994 1.4× 576 1.5× 61 0.5× 65 0.5× 52 0.5× 68 1.3k
Ze Peng United States 19 696 1.0× 465 1.2× 149 1.1× 52 0.4× 97 0.9× 61 1.2k
Wenbo Li China 16 570 0.8× 589 1.5× 85 0.7× 36 0.3× 134 1.3× 68 1.1k
Qinghong Zhou China 19 424 0.6× 646 1.7× 65 0.5× 24 0.2× 131 1.3× 75 1.1k
Yongheng Liang China 21 560 0.8× 698 1.8× 51 0.4× 22 0.2× 50 0.5× 59 1.5k
Nathalie Nicot Luxembourg 14 863 1.2× 1.1k 2.9× 86 0.7× 34 0.3× 121 1.2× 28 1.9k
Pallavi Singh India 21 613 0.9× 506 1.3× 89 0.7× 14 0.1× 64 0.6× 65 1.1k
Jian Feng China 20 1.2k 1.7× 867 2.2× 26 0.2× 51 0.4× 53 0.5× 50 1.6k
Jingjie Zhu China 15 737 1.0× 567 1.5× 57 0.4× 48 0.4× 393 3.8× 37 1.2k

Countries citing papers authored by Tak Lee

Since Specialization
Citations

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

Fields of papers citing papers by Tak Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tak Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Tak Lee. A scholar is included among the top collaborators of Tak 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 Tak Lee. Tak 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.
Ordon, Jana, Elke Logemann, Tak Lee, et al.. (2025). Conserved immunomodulation and variation in host association by Xanthomonadales commensals in Arabidopsis root microbiota. Nature Plants. 11(3). 612–631. 4 indexed citations
2.
Lee, Tak, Boas Pucker, Giles Oldroyd, et al.. (2021). A mycorrhiza-associated receptor-like kinase with an ancient origin in the green lineage. Proceedings of the National Academy of Sciences. 118(25). 19 indexed citations
3.
Lee, Ho‐Seok, Young Ho Jeon, Heekyung Ahn, et al.. (2021). Chaperone-like protein DAY plays critical roles in photomorphogenesis. Nature Communications. 12(1). 4194–4194. 8 indexed citations
4.
Lee, Tak, Jungnam Cho, Boas Pucker, et al.. (2020). The negative regulator SMAX1 controls mycorrhizal symbiosis and strigolactone biosynthesis in rice. Nature Communications. 11(1). 2114–2114. 90 indexed citations
5.
Abshiru, Nebiyu, Jacek Sikora, Jeannie M. Camarillo, et al.. (2020). Targeted detection and quantitation of histone modifications from 1,000 cells. PLoS ONE. 15(10). e0240829–e0240829. 5 indexed citations
6.
Lee, Sung‐Ho, Tak Lee, Sunmo Yang, & Insuk Lee. (2020). BarleyNet: A Network-Based Functional Omics Analysis Server for Cultivated Barley, Hordeum vulgare L.. Frontiers in Plant Science. 11. 98–98. 14 indexed citations
7.
Feng, Feng, Jongho Sun, Guru Radhakrishnan, et al.. (2019). A combination of chitooligosaccharide and lipochitooligosaccharide recognition promotes arbuscular mycorrhizal associations in Medicago truncatula. Nature Communications. 10(1). 5047–5047. 148 indexed citations
8.
Schiessl, Katharina, Tak Lee, Wouter Kohlen, et al.. (2019). NODULE INCEPTION Recruits the Lateral Root Developmental Program for Symbiotic Nodule Organogenesis in Medicago truncatula. Current Biology. 29(21). 3657–3668.e5. 178 indexed citations
9.
Lee, Tak & Insuk Lee. (2018). araGWAB: Network-based boosting of genome-wide association studies in Arabidopsis thaliana. Scientific Reports. 8(1). 2925–2925. 18 indexed citations
10.
Sebastián, José, Muh‐Ching Yee, Willian G. Viana, et al.. (2016). Grasses suppress shoot-borne roots to conserve water during drought. Proceedings of the National Academy of Sciences. 113(31). 8861–8866. 87 indexed citations
11.
Lee, Tak, Taeyun Oh, Sunmo Yang, et al.. (2015). RiceNet v2: an improved network prioritization server for rice genes. Nucleic Acids Research. 43(W1). W122–W127. 61 indexed citations
12.
Lee, Tak, Hyojin Kim, & Insuk Lee. (2015). Network-assisted crop systems genetics: network inference and integrative analysis. Current Opinion in Plant Biology. 24. 61–70. 32 indexed citations
13.
Lee, Tak, Sunmo Yang, Eiru Kim, et al.. (2014). AraNet v2: an improved database of co-functional gene networks for the study of Arabidopsis thaliana and 27 other nonmodel plant species. Nucleic Acids Research. 43(D1). D996–D1002. 128 indexed citations
14.
Shin, Junha, Tak Lee, Hanhae Kim, & Insuk Lee. (2013). Complementarity between distance- and probability-based methods of gene neighbourhood identification for pathway reconstruction. Molecular BioSystems. 10(1). 24–29. 20 indexed citations
15.
Lee, Tak & Sarah Dennis. (2000). Short-acting beta(2)-agonists. The Lancet. 356(9233). 940–941. 1 indexed citations
16.
Lee, Tak. (1999). The Wilms' tumor suppressor gene (wt1) product represses different functional classes of transcriptional activation domains. Nucleic Acids Research. 27(14). 2889–2897. 10 indexed citations
17.
LITCHFIELD, T.M. & Tak Lee. (1992). Asthma: Cells and Cytokines. Journal of Asthma. 29(3). 181–191. 22 indexed citations
18.
Walport, Mark, et al.. (1989). Expression of complement receptors type 1 (CR1) and type 3 (CR3) on circulating granulocytes in experimentally provoked asthma. Journal of Allergy and Clinical Immunology. 83(3). 649–655. 26 indexed citations
19.
Wilkinson, James, et al.. (1989). Effects of Monocyte- and Macrophage-Derived Products on Granulocyte Function in Asthma. International Archives of Allergy and Immunology. 90(Suppl. 1). 64–69. 5 indexed citations
20.
Spur, Bernd W., et al.. (1988). Lipoxins of the 5-Series Derived from Eicosapentaenoic Acid. PubMed. 229. 147–154. 5 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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