Zhongdong Dong

1.2k total citations
35 papers, 756 citations indexed

About

Zhongdong Dong is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Zhongdong Dong has authored 35 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 11 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Zhongdong Dong's work include Wheat and Barley Genetics and Pathology (21 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (11 papers). Zhongdong Dong is often cited by papers focused on Wheat and Barley Genetics and Pathology (21 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (11 papers). Zhongdong Dong collaborates with scholars based in China, United States and Australia. Zhongdong Dong's co-authors include Feng Chen, Congwei Sun, Dangqun Cui, Lei Zhao, Yan Ren, Xuefang Yan, Ning Zhang, Fuyan Zhang, Xiangfen Zhang and Haixia Xu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Gene.

In The Last Decade

Zhongdong Dong

33 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhongdong Dong China	14	694	327	153	111	24	35	756
Wuyun Yang China	15	823 1.2×	318 1.0×	142 0.9×	175 1.6×	12 0.5×	64	862
K. V. Prabhu India	13	613 0.9×	227 0.7×	149 1.0×	66 0.6×	18 0.8×	36	695
Gautam Saripalli India	16	773 1.1×	233 0.7×	154 1.0×	132 1.2×	22 0.9×	36	836
Wubishet A. Bekele Canada	17	677 1.0×	428 1.3×	141 0.9×	152 1.4×	23 1.0×	34	794
Nathalie Rivière France	9	734 1.1×	242 0.7×	213 1.4×	80 0.7×	20 0.8×	12	823
Michael G. Francki Australia	19	795 1.1×	265 0.8×	210 1.4×	89 0.8×	39 1.6×	28	902
Yunfeng Xu China	21	1.3k 1.8×	373 1.1×	85 0.6×	223 2.0×	22 0.9×	49	1.3k
Joachim Eder Germany	12	469 0.7×	246 0.8×	256 1.7×	64 0.6×	18 0.8×	25	588
Jafar Ahmadi Iran	16	655 0.9×	197 0.6×	121 0.8×	127 1.1×	15 0.6×	44	720
Cong Tan China	16	480 0.7×	228 0.7×	233 1.5×	41 0.4×	15 0.6×	32	607

Countries citing papers authored by Zhongdong Dong

Since Specialization

Citations

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

Fields of papers citing papers by Zhongdong Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongdong Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongdong Dong. A scholar is included among the top collaborators of Zhongdong Dong 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 Zhongdong Dong. Zhongdong Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jia, Jizeng, Pingchuan Deng, Tianbao Li, et al.. (2025). Transposable elements drive the subgenomic divergence of homoeologous genes to shape wheat domestication and improvement. Plant Communications. 6(6). 101341–101341.

Yan, Yan, Xiao‐Ming Li, Congwei Sun, et al.. (2023). HSP90.2 promotes CO₂ assimilation rate, grain weight and yield in wheat. Plant Biotechnology Journal. 21(6). 1229–1239. 14 indexed citations

Tang, Wenjing, Zhongdong Dong, Lifeng Gao, et al.. (2023). Genetic diversity and population structure of modern wheat (Triticum aestivum L.) cultivars in Henan Province of China based on SNP markers. BMC Plant Biology. 23(1). 542–542. 8 indexed citations

Sun, Congwei, et al.. (2023). Genomics‐assisted breeding: The next‐generation wheat breeding era. Plant Breeding. 142(3). 259–268. 11 indexed citations

Zhang, Ning, et al.. (2021). Global Profiling of 2-Hydroxyisobutyrylome in Common Wheat. Genomics Proteomics & Bioinformatics. 20(4). 688–701. 16 indexed citations

Shi, Chaonan, Chunyi Liu, Yan Ren, et al.. (2020). Identification of herbicide resistance loci using a genome-wide association study and linkage mapping in Chinese common wheat. The Crop Journal. 8(4). 666–675. 19 indexed citations

Ren, Yan, Paul B. Yu, Yue Wang, et al.. (2020). Development of a Rapid Approach for Detecting Sharp Eyespot Resistance in Seedling-Stage Wheat and Its Application in Chinese Wheat Cultivars. Plant Disease. 104(6). 1662–1667. 13 indexed citations

Yan, Xuefang, Lei Zhao, Yan Ren, et al.. (2019). Genome-wide association study revealed that the TaGW8 gene was associated with kernel size in Chinese bread wheat. Scientific Reports. 9(1). 2702–2702. 68 indexed citations

Chen, Junying, et al.. (2016). Identification and Comparative Analysis of microRNA in Wheat (Triticum aestivum L.) Callus Derived from Mature and Immature Embryos during In vitro Culture. Frontiers in Plant Science. 7. 1302–1302. 30 indexed citations

10.

Chen, Feng, et al.. (2016). High-Throughput Sequencing Reveals Single Nucleotide Variants in Longer-Kernel Bread Wheat. Frontiers in Plant Science. 7. 1193–1193. 5 indexed citations

11.

Chen, Feng, Xiangfen Zhang, Ning Zhang, et al.. (2015). Combined Small RNA and Degradome Sequencing Reveals Novel MiRNAs and Their Targets in the High-Yield Mutant Wheat Strain Yunong 3114. PLoS ONE. 10(9). e0137773–e0137773. 13 indexed citations

12.

Chen, Feng, et al.. (2013). Analysis of Association of puroindoline b-2 Alleles with Yield-Related Traits in Bread Wheat. ACTA AGRONOMICA SINICA. 40(1). 17–21. 1 indexed citations

13.

Guo, Huijuan, Feng Chen, Zhongdong Dong, & Dangqun Cui. (2011). Allelic Variations of Phytoene Synthase Genes Controlling Yellow Pigment Content in Durum Wheat (Triticum turgidum L.). ACTA AGRONOMICA SINICA. 37(5). 924–929. 1 indexed citations

14.

Dong, Zhongdong, et al.. (2011). Genetic evolution and utilization of wheat germplasm resources in Huanghuai winter wheat region of China. Pakistan Journal of Botany. 44(1). 281–288. 3 indexed citations

15.

Hao, Junjie, et al.. (2010). Effects of grafting cotton on Verticillium wilt resistance, yield and fiber quality of cotton.. Zhongguo nongye Kexue. 43(19). 3974–3980. 4 indexed citations

16.

Chen, Feng, et al.. (2010). Construction and analysis of EMS-induced mutant library of hexaploid wheat cultivar Yunong 201.. Mailei zuowu xuebao. 30(4). 625–629. 3 indexed citations

17.

Chen, Feng, et al.. (2010). Advances in Research of Molecular Genetics of puroindoline and Its Related Genes in Wheat. Zhongguo nongye Kexue. 43(6). 1108–1116. 3 indexed citations

18.

Hao, Junjie, et al.. (2008). Quantitative inheritance of leaf morphological traits in upland cotton. The Journal of Agricultural Science. 146(5). 561–569. 5 indexed citations

19.

Dong, Zhongdong. (2006). Genetic Difference of Some Germplasm Resources of Wheat Based on SSR Markers in Huang-Huai Area. Journal of Pharmaceutical and Biomedical Sciences. 2 indexed citations

20.

Xi, Hao & Zhongdong Dong. (2006). Genetic Model of Nitrogen Concentrations and Nitrogen Utilization Efficiency of Wheat in Different Water and Nitrogen Environment. Mailei zuowu xuebao. 2 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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