Yang Zhu

1.2k total citations
29 papers, 832 citations indexed

About

Yang Zhu is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Yang Zhu has authored 29 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 17 papers in Molecular Biology and 3 papers in Biochemistry. Recurrent topics in Yang Zhu's work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Plant nutrient uptake and metabolism (4 papers). Yang Zhu is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Plant nutrient uptake and metabolism (4 papers). Yang Zhu collaborates with scholars based in China, United States and Japan. Yang Zhu's co-authors include Doris Wagner, Samantha Klasfeld, Run Jin, Lu Liu, Hao Yu, Lisha Shen, Koji Goto, Nobutoshi Yamaguchi, Cheol Woong Jeong and Xiuzhong Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Yang Zhu

25 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Zhu China 12 713 559 60 45 36 29 832
Shuijin Hua China 16 569 0.8× 391 0.7× 84 1.4× 73 1.6× 17 0.5× 48 744
Zhaoe Pan China 20 991 1.4× 344 0.6× 12 0.2× 78 1.7× 19 0.5× 70 1.1k
Ghulam Qanmber China 21 1.1k 1.6× 743 1.3× 24 0.4× 24 0.5× 13 0.4× 50 1.2k
Emilie A. Rennie United States 12 961 1.3× 456 0.8× 34 0.6× 16 0.4× 10 0.3× 13 1.2k
Lixue Guo China 16 843 1.2× 476 0.9× 12 0.2× 24 0.5× 21 0.6× 56 998
Tien‐Shin Yu Taiwan 15 1.2k 1.7× 738 1.3× 40 0.7× 23 0.5× 14 0.4× 21 1.4k
Aimone Porri United States 18 958 1.3× 713 1.3× 20 0.3× 30 0.7× 12 0.3× 29 1.1k
Daisuke Tsugama Japan 21 789 1.1× 584 1.0× 28 0.5× 73 1.6× 19 0.5× 52 930
Sermsawat Tunlaya‐Anukit China 10 687 1.0× 753 1.3× 10 0.2× 36 0.8× 16 0.4× 10 977
Cui‐Cui Yin China 18 1.3k 1.8× 393 0.7× 57 0.9× 87 1.9× 27 0.8× 33 1.4k

Countries citing papers authored by Yang Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Zhu. A scholar is included among the top collaborators of Yang Zhu 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 Yang Zhu. Yang Zhu 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.
Gao, Yameng, Yan Zhu, Yang Zhu, et al.. (2025). Genome-wide identification and expression analysis of TaFDL gene family responded to vernalization in wheat (Triticum aestivum L.). BMC Genomics. 26(1). 255–255. 2 indexed citations
2.
Li, Xu, Shuyan Chen, Hongyan Shan, et al.. (2025). Comprehensive overview of plant development: Morphogenesis above ground. 3(4). 100172–100172.
3.
Wu, Guangyu, et al.. (2025). Integration of GWAS and transcriptome analysis to identify temperature-dependent genes involved in germination of rapeseed (Brassica napus L.). Frontiers in Plant Science. 16. 1551317–1551317. 1 indexed citations
4.
Gao, Yameng, Yang Zhu, Zhiwei Li, et al.. (2025). Genome-wide identification and characterization analysis of CONSTANS-like gene family in wheat (Triticum aestivum L.). Frontiers in Plant Science. 16. 1646979–1646979.
5.
Gong, Meng, Guangyu Wu, Xuexiang Weng, et al.. (2025). The intronic structure variation of rapeseed BnaC3.LEAFY regulates the timing of inflorescence formation and flowering. Plant Communications. 6(6). 101318–101318. 1 indexed citations
6.
Wang, Dacheng, Pengfei Su, Yang Zhu, et al.. (2025). Combined analysis of metabolome and transcriptome in response to exogenous tZ treatment on axillary bud development in Eucommia ulmoides Oliver. Industrial Crops and Products. 230. 121089–121089.
7.
Wu, Guangyu, et al.. (2024). Genome-wide association study and candidate gene identification for the cold tolerance at the seedling stage of rapeseed (Brassica napus L.). SHILAP Revista de lepidopterología. 4(1). 100083–100083. 2 indexed citations
8.
Xu, Ying, et al.. (2023). Genome-wide-association study and transcriptome analysis reveal the genetic basis controlling the formation of leaf wax in Brassica napus. Journal of Experimental Botany. 74(8). 2726–2739. 12 indexed citations
10.
Liang, Yanshan, Hongna Zhang, Qingyuan Dai, et al.. (2023). Long-term percutaneous triclosan exposure induces thyroid damage in mice: Interpretation of toxicity mechanism from metabolic and proteomic perspectives. Journal of Hazardous Materials. 454. 131532–131532. 6 indexed citations
11.
Wang, Qian, Tao Yan, Luna Yue Huang, et al.. (2021). Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences. PLoS Genetics. 17(11). e1009879–e1009879. 11 indexed citations
12.
Jin, Run, Samantha Klasfeld, Yang Zhu, et al.. (2021). LEAFY is a pioneer transcription factor and licenses cell reprogramming to floral fate. Nature Communications. 12(1). 626–626. 83 indexed citations
13.
Zhu, Yang, et al.. (2020). Acute lethal and sublethal effects of four insecticides on the lacewing (Chrysoperla sinica Tjeder). Chemosphere. 250. 126321–126321. 30 indexed citations
14.
Zhu, Yang, Samantha Klasfeld, Cheol Woong Jeong, et al.. (2020). TERMINAL FLOWER 1-FD complex target genes and competition with FLOWERING LOCUS T. Nature Communications. 11(1). 5118–5118. 146 indexed citations
16.
Zhu, Yang, Miin‐Feng Wu, Sara Simonini, et al.. (2019). Auxin Response Factors promote organogenesis by chromatin-mediated repression of the pluripotency gene SHOOTMERISTEMLESS. Nature Communications. 10(1). 886–886. 79 indexed citations
17.
Zhu, Yang & Doris Wagner. (2019). Plant Inflorescence Architecture: The Formation, Activity, and Fate of Axillary Meristems. Cold Spring Harbor Perspectives in Biology. 12(1). a034652–a034652. 34 indexed citations
18.
Zhu, Yang, Lu Liu, Lisha Shen, & Hao Yu. (2016). NaKR1 regulates long-distance movement of FLOWERING LOCUS T in Arabidopsis. Nature Plants. 2(6). 16075–16075. 96 indexed citations
19.
Liu, Lu, Yang Zhu, Lisha Shen, & Hao Yu. (2013). Emerging insights into florigen transport. Current Opinion in Plant Biology. 16(5). 607–613. 51 indexed citations
20.
Latz, D., et al.. (1994). The effects of incorporation of bromodeoxyuridine into mammalian DNA on the migration patterns of DNA fragments subjected to pulsed-field gel electrophoresis after X irradiation or cutting with a restriction enzyme.. PubMed. 138(1). 53–60. 4 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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