Zhonghua Tu

416 total citations
30 papers, 280 citations indexed

About

Zhonghua Tu is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Zhonghua Tu has authored 30 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Plant Science and 4 papers in Biochemistry. Recurrent topics in Zhonghua Tu's work include Plant Molecular Biology Research (12 papers), Plant Gene Expression Analysis (9 papers) and Plant biochemistry and biosynthesis (8 papers). Zhonghua Tu is often cited by papers focused on Plant Molecular Biology Research (12 papers), Plant Gene Expression Analysis (9 papers) and Plant biochemistry and biosynthesis (8 papers). Zhonghua Tu collaborates with scholars based in China. Zhonghua Tu's co-authors include Huogen Li, Yufang Shen, Ziyuan Hao, Hui Xia, Xinyu Zhai, Yali Zhang, Meiqi Zhao, Huanhuan Liu, Meng Xu and Hang Fan and has published in prestigious journals such as Scientific Reports, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Zhonghua Tu

28 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhonghua Tu China 9 186 149 41 27 27 30 280
Dounia Saleh France 8 133 0.7× 222 1.5× 53 1.3× 45 1.7× 5 0.2× 8 317
Furong Lin China 10 214 1.2× 98 0.7× 82 2.0× 93 3.4× 59 2.2× 23 318
Juqing Kang China 9 201 1.1× 251 1.7× 44 1.1× 61 2.3× 9 0.3× 14 336
Josphat K. Saina China 10 223 1.2× 81 0.5× 71 1.7× 107 4.0× 22 0.8× 20 302
Gordon C. Younkin United States 8 84 0.5× 94 0.6× 38 0.9× 103 3.8× 22 0.8× 11 248
Srinidhi V. Holalu United States 8 237 1.3× 357 2.4× 28 0.7× 90 3.3× 4 0.1× 10 444
Yi Xiong China 12 173 0.9× 196 1.3× 96 2.3× 71 2.6× 8 0.3× 44 361
Matin Miryeganeh Japan 9 168 0.9× 265 1.8× 35 0.9× 41 1.5× 8 0.3× 15 346
Hongtao Wang China 9 131 0.7× 175 1.2× 36 0.9× 45 1.7× 5 0.2× 20 291
Daniel J. Gates United States 8 159 0.9× 174 1.2× 110 2.7× 61 2.3× 4 0.1× 11 302

Countries citing papers authored by Zhonghua Tu

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghua Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghua Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghua Tu. A scholar is included among the top collaborators of Zhonghua Tu 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 Zhonghua Tu. Zhonghua Tu 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.
Zhang, Yu, Qinghua Hu, Xinyu Zhai, et al.. (2024). Genome-wide investigation of SQUAMOSA promoter binding protein-like genes in Liriodendron and functional characterization of LcSPL2. AoB Plants. 16(2). plae008–plae008. 3 indexed citations
2.
Tu, Zhonghua, et al.. (2024). Multi-omics analyses reveal microRNAs’ role in terpene biosynthesis regulation in slash pine. Industrial Crops and Products. 216. 118625–118625. 4 indexed citations
3.
Liu, Huanhuan, et al.. (2024). LtMYB305 transcription factor regulates the expression of LtLCYB gene to mediate carotenoids synthesis in Liriodendron petals. Industrial Crops and Products. 217. 118868–118868. 2 indexed citations
4.
Zhang, Fengchao, et al.. (2024). Comprehensive deciphering the alternative splicing patterns involved in leaf morphogenesis of Liriodendron chinense. BMC Plant Biology. 24(1). 250–250. 1 indexed citations
6.
Ding, Wei, et al.. (2024). Unveiling Key Genes and Unique Transcription Factors Involved in Secondary Cell Wall Formation in Pinus taeda. International Journal of Molecular Sciences. 25(21). 11805–11805.
8.
Li, Wei, et al.. (2023). Genome-wide identification and characterization of LcCCR13 reveals its potential role in lignin biosynthesis in Liriodendron chinense. Frontiers in Plant Science. 13. 1110639–1110639. 4 indexed citations
9.
Tu, Zhonghua, et al.. (2023). Genome-wide identification of GROWTH-REGULATING FACTORs in Liriodendron chinense and functional characterization of LcGRF2 in leaf size regulation. Plant Physiology and Biochemistry. 206. 108204–108204. 6 indexed citations
10.
Tu, Zhonghua, et al.. (2022). Liriodendron chinense LcMAX1 regulates primary root growth and shoot branching in Arabidopsis thaliana. Plant Physiology and Biochemistry. 190. 1–10. 4 indexed citations
11.
Tu, Zhonghua, et al.. (2022). Genome-wide identification of XTH genes in Liriodendron chinense and functional characterization of LcXTH21. Frontiers in Plant Science. 13. 1014339–1014339. 8 indexed citations
12.
Shen, Yufang, Zhonghua Tu, Yali Zhang, et al.. (2022). Predicting the impact of climate change on the distribution of two relict Liriodendron species by coupling the MaxEnt model and actual physiological indicators in relation to stress tolerance. Journal of Environmental Management. 322. 116024–116024. 34 indexed citations
13.
Zhao, Meiqi, et al.. (2022). Stable reference gene selection for quantitative real-time PCR normalization in passion fruit (Passiflora edulis Sims.). Molecular Biology Reports. 49(7). 5985–5995. 17 indexed citations
14.
Tu, Zhonghua, et al.. (2022). Overexpression of Liriodendron tulipifera JAG Gene (LtuJAG) Changes Leaf Shapes in Transgenic Arabidopsis thaliana. International Journal of Molecular Sciences. 23(3). 1322–1322. 6 indexed citations
15.
Tu, Zhonghua, et al.. (2022). Overexpression of LtuHB6 from Liriodendron tulipifera causes lobed-leaf formation in Arabidopsis thaliana. Physiology and Molecular Biology of Plants. 28(10). 1875–1887. 2 indexed citations
16.
Tu, Zhonghua, et al.. (2021). A Tissue-Specific Landscape of Alternative Polyadenylation, lncRNAs, TFs, and Gene Co-expression Networks in Liriodendron chinense. Frontiers in Plant Science. 12. 705321–705321. 11 indexed citations
17.
Liu, Huanhuan, et al.. (2021). Genome-wide identification of MIKC-type genes related to stamen and gynoecium development in Liriodendron. Scientific Reports. 11(1). 6585–6585. 8 indexed citations
18.
Tu, Zhonghua, et al.. (2021). Isolation, expression, and functional analysis of the geranylgeranyl pyrophosphate synthase (GGPPS) gene from Liriodendron tulipifera. Plant Physiology and Biochemistry. 166. 700–711. 22 indexed citations
19.
Hao, Ziyuan, et al.. (2021). Genome-wide survey and identification of AP2/ERF genes involved in shoot and leaf development in Liriodendron chinense. BMC Genomics. 22(1). 807–807. 25 indexed citations
20.
Tu, Zhonghua, et al.. (2020). Alternative Splicing Enhances the Transcriptome Complexity of Liriodendron chinense. Frontiers in Plant Science. 11. 578100–578100. 15 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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