Degui Zhang

1.9k total citations
75 papers, 1.4k citations indexed

About

Degui Zhang is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Degui Zhang has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Plant Science, 53 papers in Genetics and 21 papers in Agronomy and Crop Science. Recurrent topics in Degui Zhang's work include Genetic Mapping and Diversity in Plants and Animals (53 papers), Genetics and Plant Breeding (47 papers) and Crop Yield and Soil Fertility (21 papers). Degui Zhang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (53 papers), Genetics and Plant Breeding (47 papers) and Crop Yield and Soil Fertility (21 papers). Degui Zhang collaborates with scholars based in China, Mexico and Ireland. Degui Zhang's co-authors include Xinhai Li, Mingshun Li, Zhuanfang Hao, Shihuang Zhang, Jianfeng Weng, Chuanxiao Xie, Hongjun Yong, Li Bai, Changlin Liu and Zhiqiang Zhou and has published in prestigious journals such as PLoS ONE, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Degui Zhang

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Degui Zhang China 21 1.3k 778 340 172 33 75 1.4k
Yongfu Tao Australia 18 983 0.8× 594 0.8× 295 0.9× 287 1.7× 39 1.2× 36 1.2k
Mark A. Mikel United States 19 1.0k 0.8× 483 0.6× 123 0.4× 281 1.6× 22 0.7× 36 1.1k
W. L. Woodman United States 16 1.3k 1.0× 957 1.2× 189 0.6× 181 1.1× 40 1.2× 18 1.4k
Maria Corinna Sanguineti Italy 21 1.7k 1.3× 851 1.1× 299 0.9× 209 1.2× 7 0.2× 35 1.8k
T. K. Blake United States 19 1.2k 0.9× 537 0.7× 140 0.4× 202 1.2× 20 0.6× 34 1.3k
Elliot L. Heffner United States 8 2.1k 1.6× 1.7k 2.2× 157 0.5× 142 0.8× 27 0.8× 9 2.3k
Judith M. Kolkman United States 19 1.2k 1.0× 373 0.5× 201 0.6× 315 1.8× 24 0.7× 27 1.3k
Grit Haseneyer Germany 13 1.1k 0.8× 498 0.6× 113 0.3× 251 1.5× 14 0.4× 15 1.1k
Fazhan Qiu China 22 1.3k 1.0× 499 0.6× 120 0.4× 452 2.6× 35 1.1× 55 1.5k
Cleve D. Franks United States 14 799 0.6× 518 0.7× 489 1.4× 216 1.3× 83 2.5× 19 1.0k

Countries citing papers authored by Degui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Degui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Degui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Degui Zhang. A scholar is included among the top collaborators of Degui Zhang 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 Degui Zhang. Degui Zhang 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.
Pan, Feng, Lingzhi Meng, Zhennan Xu, et al.. (2025). Transcriptomic and metabolic changes during tassel branching development in maize. BMC Plant Biology. 25(1). 596–596.
2.
Xu, Zhennan, Meng Liu, Mingshun Li, et al.. (2025). Natural variations in the promoter of ZmDeSI2 encoding a deSUMOylating isopeptidase controls kernel methionine content in maize. Molecular Plant. 18(5). 872–891. 1 indexed citations
3.
Xu, Zhennan, Ronggai Li, Zhiqiang Zhou, et al.. (2024). Identification of the Coexisting Virus-Derived siRNA in Maize and Rice Infected by Rice Black-Streaked Dwarf Virus. Plant Disease. 108(9). 2845–2854. 1 indexed citations
4.
Han, Jienan, Ran Li, Ze Zhang, et al.. (2024). Genome-wide association and co-expression uncovered ZmMYB71 controls kernel starch content in maize. Journal of Integrative Agriculture. 24(12). 4496–4514. 1 indexed citations
5.
Han, Jienan, Zenghui Guo, Meijuan Wang, et al.. (2022). Using the dominant mutation gene Ae1-5180 (amylose extender) to develop high-amylose maize. Molecular Breeding. 42(10). 57–57. 5 indexed citations
6.
Lü, Xin, Zhiqiang Zhou, Yunhe Wang, et al.. (2022). Genetic basis of maize kernel protein content revealed by high-density bin mapping using recombinant inbred lines. Frontiers in Plant Science. 13. 1045854–1045854. 3 indexed citations
7.
Wang, Nan, Ming Cheng, Yong Chen, et al.. (2021). Natural variations in the non-coding region of ZmNAC080308 contributes maintaining grain yield under drought stress in maize. BMC Plant Biology. 21(1). 305–305. 19 indexed citations
8.
Wu, Jian, Dequan Sun, Qian Zhao, et al.. (2021). Transcriptome Reveals Allele Contribution to Heterosis in Maize. Frontiers in Plant Science. 12. 739072–739072. 5 indexed citations
9.
Zhang, Degui, et al.. (2020). Mapping quantitative trait loci associated with stem-related traits in maize (Zea mays L.). Plant Molecular Biology. 104(6). 583–595. 10 indexed citations
10.
Lü, Xin, Zhiqiang Zhou, Zhuanfang Hao, et al.. (2020). Genetic Dissection of the General Combining Ability of Yield-Related Traits in Maize. Frontiers in Plant Science. 11. 788–788. 7 indexed citations
11.
Zhou, Zhiqiang, Hongjun Yong, Xiaochong Zhang, et al.. (2017). Analysis of the genetic architecture of maize ear and grain morphological traits by combined linkage and association mapping. Theoretical and Applied Genetics. 130(5). 1011–1029. 57 indexed citations
12.
Liu, Changlin, Chang Liu, Degui Zhang, et al.. (2016). Fine mapping of a quantitative trait locus conferring resistance to maize rough dwarf disease. Theoretical and Applied Genetics. 129(12). 2333–2342. 16 indexed citations
13.
Zhou, Yu, Jianfeng Weng, Yanping Chen, et al.. (2015). Molecular Genetic Analysis and Evolution of Segment 7 in Rice Black-Streaked Dwarf Virus in China. PLoS ONE. 10(6). e0131410–e0131410. 4 indexed citations
14.
Chen, Yan, Zhiqiang Zhou, Gang Zhao, et al.. (2014). Transposable Element rbg Induces the Differential Expression of opaque-2 Mutant Gene in Two Maize o2 NILs Derived from the Same Inbred Line. PLoS ONE. 9(1). e85159–e85159. 8 indexed citations
15.
Sun, Qi, Degui Zhang, Xinhai Li, et al.. (2012). Comparison of disease resistance of maize varieties from the 1950s to the 2000s in China.. Maydica. 57(3). 236–243.
16.
Yong, Hongjun, Jianjun Wang, Zhipeng Liu, et al.. (2012). Potential of tropical maize populations for improving an elite maize hybrid.. Maydica. 56(4). 359–366. 7 indexed citations
17.
Weng, Jianfeng, Xianjun Liu, Zhenhua Wang, et al.. (2012). Molecular Mapping of the Major Resistance Quantitative Trait Locus qHS2.09 with Simple Sequence Repeat and Single Nucleotide Polymorphism Markers in Maize. Phytopathology. 102(7). 692–699. 21 indexed citations
18.
Zhao, Gang, Mingshun Li, Degui Zhang, et al.. (2011). Kernel lysine content does not increase in some maize opaque2 mutants. Planta. 235(1). 205–215. 6 indexed citations
19.
Zhang, Shihuang, Zhenyu Lu, Degui Zhang, et al.. (2010). Comparison of analysis method of genetic yield gain for the single-cross hybrids released during 1970s-2000s.. ACTA AGRONOMICA SINICA. 36(12). 2185–2190. 5 indexed citations
20.
Liang, Yong, et al.. (2003). Study on the framework system of digital agriculture. Chinese Geographical Science. 13(1). 15–19. 13 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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