Tongkun Liu

2.3k total citations
79 papers, 1.6k citations indexed

About

Tongkun Liu is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Tongkun Liu has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 61 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Tongkun Liu's work include Plant Molecular Biology Research (40 papers), Photosynthetic Processes and Mechanisms (31 papers) and Plant Gene Expression Analysis (22 papers). Tongkun Liu is often cited by papers focused on Plant Molecular Biology Research (40 papers), Photosynthetic Processes and Mechanisms (31 papers) and Plant Gene Expression Analysis (22 papers). Tongkun Liu collaborates with scholars based in China, Indonesia and Estonia. Tongkun Liu's co-authors include Xilin Hou, Ying Li, Weike Duan, Xiaoming Song, Zhinan Huang, Jun Ren, Feiyi Huang, Changwei Zhang, Gaofeng Liu and Ying Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Tongkun Liu

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tongkun Liu China 23 1.3k 1.1k 76 55 36 79 1.6k
Xingjun Wang China 26 1.5k 1.1× 814 0.7× 89 1.2× 34 0.6× 56 1.6× 80 1.7k
Runze Wang China 16 1.1k 0.9× 1.3k 1.2× 111 1.5× 109 2.0× 28 0.8× 33 1.7k
Qionghou Li China 13 771 0.6× 781 0.7× 72 0.9× 80 1.5× 37 1.0× 27 1.1k
Lore Westphal Germany 16 1.6k 1.2× 923 0.8× 63 0.8× 49 0.9× 36 1.0× 22 1.9k
Woong June Park South Korea 16 1.3k 1.0× 750 0.7× 87 1.1× 33 0.6× 27 0.8× 26 1.5k
Jérôme Verdier France 21 1.7k 1.3× 695 0.6× 68 0.9× 49 0.9× 41 1.1× 43 1.9k
Ke Mao China 25 1.6k 1.2× 1.4k 1.3× 53 0.7× 34 0.6× 31 0.9× 74 2.0k
Nathalie Frangne France 19 1.6k 1.2× 1.3k 1.2× 79 1.0× 53 1.0× 38 1.1× 25 1.9k
Qinglong Dong China 22 1.3k 1.0× 925 0.8× 31 0.4× 53 1.0× 23 0.6× 60 1.5k
Chae Woo Lim South Korea 27 2.2k 1.6× 1.0k 0.9× 46 0.6× 51 0.9× 42 1.2× 85 2.4k

Countries citing papers authored by Tongkun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tongkun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongkun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tongkun Liu. A scholar is included among the top collaborators of Tongkun Liu 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 Tongkun Liu. Tongkun Liu 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.
2.
Zheng, Yushan, Huiyu Wang, Liting Zhang, et al.. (2025). MeJA promotes root growth through BcWRKY33A-BcASA1 module in Bok choy. Scientia Horticulturae. 345. 114158–114158.
3.
4.
Wang, Yaolong, Xuedong Yang, Wenlong Wang, et al.. (2024). Efficient genetic transformation and gene editing of Chinese cabbage using Agrobacterium rhizogenes. PLANT PHYSIOLOGY. 197(2). 3 indexed citations
5.
Hou, Xilin, et al.. (2024). ETHYLENE RESPONSE FACTOR 070 inhibits flowering in Pak-choi by indirectly impairing BcLEAFY expression. PLANT PHYSIOLOGY. 195(2). 986–1004. 7 indexed citations
6.
Li, Yan, Yan Li, Tao Yu, et al.. (2024). Genome-wide analysis of the NF-Y gene family in non-heading Chinese cabbage and the involvement of BcNF-YA8 in ABA-mediated flowering regulation. Horticultural Plant Journal. 11(2). 661–679. 5 indexed citations
7.
Wang, Huiyu, et al.. (2023). Fast, simple, efficient Agrobacterium rhizogenes-mediated transformation system to non-heading Chinese cabbage with transgenic roots. Horticultural Plant Journal. 10(2). 450–460. 17 indexed citations
8.
Wang, Yuan, Die Hu, Dong Xiao, et al.. (2023). BcNAC056 Interacts with BcWRKY1 to Regulate Leaf Senescence in Pak Choi. Plant and Cell Physiology. 64(9). 1091–1105. 1 indexed citations
9.
Wang, Haibin, Yan Li, Yan Li, et al.. (2022). Transcriptome sequencing and gas chromatography–mass spectrometry analyses provide insights into β-caryophyllene biosynthesis in Brassica campestris. Food Chemistry Molecular Sciences. 5. 100129–100129. 4 indexed citations
10.
Li, Yan, Yan Li, Feiyi Huang, et al.. (2022). BcGR1.1, a Cytoplasmic Localized Glutathione Reductase, Enhanced Tolerance to Copper Stress in Arabidopsis thaliana. Antioxidants. 11(2). 389–389. 14 indexed citations
11.
Hu, Die, Yuan Wang, Tongkun Liu, et al.. (2022). BcWRKY1 confers salt sensitivity via inhibiting Reactive oxygen species scavenging. Plant Molecular Biology. 109(6). 741–759. 11 indexed citations
12.
Xu, Yuanyuan, et al.. (2021). Cloning and Functional Analysis of BrABF1 Gene in Non-Heading Chinese Cabbage. Journal of Nuclear Agricultural Sciences. 35(10). 2241.
13.
Guo, Mingliang, Wei Zhang, Tongkun Liu, et al.. (2021). CELL CYCLE SEITCH 52 regulates tillering by interacting with LATERAL SUPPRESSOR in non-heading Chinese cabbage. Plant Science. 309. 110934–110934. 8 indexed citations
14.
Duan, Weike, Jun Ren, Yán Li, et al.. (2016). Conservation and Expression Patterns Divergence of Ascorbic Acid d-mannose/l-galactose Pathway Genes in Brassica rapa. Frontiers in Plant Science. 7. 778–778. 15 indexed citations
15.
Liu, Tongkun, Ying Li, Changwei Zhang, et al.. (2014). Basic helix–loop–helix transcription factor BcbHLHpol functions as a positive regulator of pollen development in non-heading Chinese cabbage. Functional & Integrative Genomics. 14(4). 731–739. 9 indexed citations
16.
Wang, Xuehua, Shuo Zhang, Die Hu, et al.. (2014). BcPMI2, isolated from non-heading Chinese cabbage encoding phosphomannose isomerase, improves stress tolerance in transgenic tobacco. Molecular Biology Reports. 41(4). 2207–2216. 9 indexed citations
17.
Ge, Tingting, Li Wang, Tongkun Liu, et al.. (2013). S haplotypes in doubled haploid lines of non-heading Chinese cabbage ( Brassica campestris L. ssp. chinensis Makino). Indian Journal of Genetics and Plant Breeding (The). 73(4). 400–400. 1 indexed citations
18.
Song, Xiaoming, Tongkun Liu, Weike Duan, et al.. (2013). Genome-wide analysis of the GRAS gene family in Chinese cabbage (Brassica rapa ssp. pekinensis). Genomics. 103(1). 135–146. 116 indexed citations
19.
Ren, Jun, Zhongwen Chen, Weike Duan, et al.. (2013). Comparison of ascorbic acid biosynthesis in different tissues of three non-heading Chinese cabbage cultivars. Plant Physiology and Biochemistry. 73. 229–236. 30 indexed citations
20.
Liu, Tongkun, Wei Dai, Feifei Sun, et al.. (2013). Cloning and characterization of the nitrate transporter gene BraNRT2.1 in non-heading Chinese cabbage. Acta Physiologiae Plantarum. 36(4). 815–823. 18 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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