Zhongfu Yang

890 total citations
37 papers, 662 citations indexed

About

Zhongfu Yang is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Zhongfu Yang has authored 37 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 12 papers in Agronomy and Crop Science and 11 papers in Molecular Biology. Recurrent topics in Zhongfu Yang's work include Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (13 papers) and Bioenergy crop production and management (10 papers). Zhongfu Yang is often cited by papers focused on Plant Molecular Biology Research (16 papers), Plant Stress Responses and Tolerance (13 papers) and Bioenergy crop production and management (10 papers). Zhongfu Yang collaborates with scholars based in China, United States and India. Zhongfu Yang's co-authors include Xinquan Zhang, Gang Nie, Linkai Huang, Ling Pan, Guangyan Feng, Jianping Wang, Xiao Ma, Meiliang Zhou, Xiaoheng Xu and Hua Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Zhongfu Yang

33 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongfu Yang China 16 482 260 85 49 40 37 662
Imre Majláth Hungary 18 721 1.5× 283 1.1× 57 0.7× 38 0.8× 25 0.6× 36 815
Saeed Rauf Pakistan 18 857 1.8× 169 0.7× 150 1.8× 33 0.7× 66 1.6× 73 990
Maria Wędzony Poland 18 823 1.7× 375 1.4× 111 1.3× 56 1.1× 82 2.0× 55 914
Mehtab Muhammad Aslam China 17 885 1.8× 271 1.0× 84 1.0× 55 1.1× 16 0.4× 48 1.1k
İ. Demir Türkiye 20 1.4k 2.9× 473 1.8× 89 1.0× 67 1.4× 44 1.1× 114 1.5k
Amir Shakeel Pakistan 20 1.1k 2.2× 188 0.7× 111 1.3× 37 0.8× 40 1.0× 78 1.1k
Riyuan Chen China 18 950 2.0× 422 1.6× 69 0.8× 37 0.8× 37 0.9× 87 1.1k
Qiufang Shen China 20 903 1.9× 346 1.3× 37 0.4× 21 0.4× 35 0.9× 44 1.1k
Saurabh Pandey India 15 643 1.3× 181 0.7× 50 0.6× 25 0.5× 42 1.1× 51 768
Vívian Ebeling Viana Brazil 15 576 1.2× 291 1.1× 50 0.6× 24 0.5× 46 1.1× 40 677

Countries citing papers authored by Zhongfu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongfu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongfu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongfu Yang. A scholar is included among the top collaborators of Zhongfu Yang 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 Zhongfu Yang. Zhongfu Yang 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.
Liu, Shuo, et al.. (2025). A New Species of the Genus Gracixalus (Anura, Rhacophoridae) from Central Western Yunnan, China. SHILAP Revista de lepidopterología. 5(4). 66–66.
2.
Yang, Zhongfu, Liu Yang, Sisi Yang, et al.. (2025). Genome-wide identification and expression patterns analysis of the DREB gene family under various abiotic stress in Lolium perenne. BMC Plant Biology. 25(1). 1635–1635.
3.
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Xu, Xiaoheng, Peng Li, Shufeng Li, et al.. (2024). Genome-wide association analysis reveals novel candidate loci and a gene regulating tiller number in orchardgrass. Plant Physiology and Biochemistry. 216. 109148–109148. 1 indexed citations
6.
Xu, Xiaoheng, Yueyang Liang, Guangyan Feng, et al.. (2024). A favorable natural variation in CCD7 from orchardgrass confers enhanced tiller number. The Plant Journal. 121(2). e17200–e17200.
7.
Xu, Xiaoheng, Guangyan Feng, Zhongfu Yang, et al.. (2023). Transcriptome Analysis Reveals the Potential Molecular Mechanisms of Tiller Bud Development in Orchardgrass. International Journal of Molecular Sciences. 24(21). 15762–15762. 1 indexed citations
8.
Feng, Guangyan, Xiaoheng Xu, Wen Liu, et al.. (2023). Transcriptome Profiling Provides Insights into the Early Development of Tiller Buds in High- and Low-Tillering Orchardgrass Genotypes. International Journal of Molecular Sciences. 24(22). 16370–16370. 3 indexed citations
9.
Yang, Zhongfu, Feifei Wu, Guangyan Feng, et al.. (2022). R2R3-MYB gene family: Genome-wide identification provides insight to improve the content of proanthocyanidins in Trifolium repens. Gene. 829. 146523–146523. 6 indexed citations
10.
Yang, Zhongfu, Gang Nie, Guangyan Feng, et al.. (2022). Genome-wide identification of MADS-box gene family in orchardgrass and the positive role of DgMADS114 and DgMADS115 under different abiotic stress. International Journal of Biological Macromolecules. 223(Pt A). 129–142. 12 indexed citations
11.
Nie, Gang, Zhongfu Yang, Jie He, et al.. (2021). Genome-Wide Investigation of the NAC Transcription Factor Family in Miscanthus sinensis and Expression Analysis Under Various Abiotic Stresses. Frontiers in Plant Science. 12. 766550–766550. 17 indexed citations
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13.
Feng, Guangyan, Zhongfu Yang, Shuai Yang, et al.. (2021). Genome-wide identification, phylogenetic analysis, and expression analysis of the SPL gene family in orchardgrass (Dactylis glomerata L.). Genomics. 113(4). 2413–2425. 12 indexed citations
14.
Xu, Xiaoheng, Guangyan Feng, Linkai Huang, et al.. (2020). Genome-wide identification, structural analysis and expression profiles of GRAS gene family in orchardgrass. Molecular Biology Reports. 47(3). 1845–1857. 12 indexed citations
15.
Nie, Gang, Zhongfu Yang, Yongqun Zhu, et al.. (2020). Genome-wide investigation of the NAC transcript factor family in perennial ryegrass (Lolium perenne L.) and expression analysis under various abiotic stressor. Genomics. 112(6). 4224–4231. 21 indexed citations
16.
Xu, Lei, Guangyan Feng, Zhongfu Yang, et al.. (2020). Genome-wide AP2/ERF gene family analysis reveals the classification, structure, expression profiles and potential function in orchardgrass (Dactylis glomerata). Molecular Biology Reports. 47(7). 5225–5241. 17 indexed citations
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18.
Pan, Ling, Chen Meng, Jianping Wang, et al.. (2018). Integrated omics data of two annual ryegrass (Lolium multiflorum L.) genotypes reveals core metabolic processes under drought stress. BMC Plant Biology. 18(1). 26–26. 35 indexed citations
19.
Pan, Ling, Zhongfu Yang, Jianping Wang, et al.. (2017). Comparative proteomic analyses reveal the proteome response to short-term drought in Italian ryegrass (Lolium multiflorum). PLoS ONE. 12(9). e0184289–e0184289. 17 indexed citations
20.
Pan, Ling, Xinquan Zhang, Jianping Wang, et al.. (2016). Transcriptional Profiles of Drought-Related Genes in Modulating Metabolic Processes and Antioxidant Defenses in Lolium multiflorum. Frontiers in Plant Science. 7. 519–519. 83 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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