Donghui Fu

2.8k total citations
54 papers, 2.0k citations indexed

About

Donghui Fu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Donghui Fu has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 32 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Donghui Fu's work include Chromosomal and Genetic Variations (23 papers), Plant Disease Resistance and Genetics (19 papers) and Genomics and Phylogenetic Studies (13 papers). Donghui Fu is often cited by papers focused on Chromosomal and Genetic Variations (23 papers), Plant Disease Resistance and Genetics (19 papers) and Genomics and Phylogenetic Studies (13 papers). Donghui Fu collaborates with scholars based in China, Australia and Germany. Donghui Fu's co-authors include Annaliese S. Mason, Meili Xiao, Gang Wu, Alice Hayward, Fang Liu, Jiana Li, Xinhua Zeng, Yunjing Li, Changming Lu and Qinghong Zhou and has published in prestigious journals such as PLoS ONE, The Plant Cell and Journal of Agricultural and Food Chemistry.

In The Last Decade

Donghui Fu

54 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghui Fu China 28 1.6k 1.1k 362 153 81 54 2.0k
Zaiyun Li China 31 1.6k 1.0× 1.5k 1.4× 269 0.7× 150 1.0× 90 1.1× 117 2.2k
Yanhua Qi China 25 2.4k 1.5× 1.3k 1.2× 286 0.8× 58 0.4× 44 0.5× 50 2.6k
Nelson J. M. Saibo Portugal 24 2.4k 1.5× 1.2k 1.1× 155 0.4× 53 0.3× 92 1.1× 53 2.6k
Juren Zhang China 35 3.2k 2.1× 1.6k 1.5× 298 0.8× 99 0.6× 59 0.7× 84 3.6k
Hirokazu Handa Japan 28 1.8k 1.2× 1.3k 1.2× 321 0.9× 54 0.4× 100 1.2× 73 2.5k
Jinxiong Shen China 33 2.6k 1.6× 2.7k 2.5× 372 1.0× 405 2.6× 172 2.1× 176 3.5k
Ayako Nishizawa‐Yokoi Japan 21 2.4k 1.5× 2.1k 1.9× 130 0.4× 54 0.4× 62 0.8× 43 3.0k
Minoru Nishimura Japan 22 2.3k 1.5× 1.5k 1.4× 319 0.9× 34 0.2× 63 0.8× 51 2.8k
Akiko Enju Japan 15 2.8k 1.8× 1.8k 1.7× 172 0.5× 74 0.5× 92 1.1× 19 3.3k
Mark F. Belmonte Canada 26 2.8k 1.8× 1.7k 1.6× 121 0.3× 142 0.9× 90 1.1× 69 3.2k

Countries citing papers authored by Donghui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Donghui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghui Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Donghui Fu. A scholar is included among the top collaborators of Donghui Fu 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 Donghui Fu. Donghui Fu 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.
Wang, Huadong, Jiajia Liu, Juan Huang, et al.. (2023). Mapping and Identifying Candidate Genes Enabling Cadmium Accumulation in Brassica napus Revealed by Combined BSA-Seq and RNA-Seq Analysis. International Journal of Molecular Sciences. 24(12). 10163–10163. 10 indexed citations
2.
Mason, Annaliese S., Qian Liu, Juan Huang, et al.. (2023). Research progress and applications of colorful Brassica crops. Planta. 258(2). 45–45. 6 indexed citations
3.
Fu, Ying, et al.. (2019). MicroRNA-mRNA expression profiles and their potential role in cadmium stress response in Brassica napus. BMC Plant Biology. 19(1). 570–570. 56 indexed citations
4.
Fu, Ying, et al.. (2019). NBS-Encoding Genes in Brassica napus Evolved Rapidly After Allopolyploidization and Co-localize With Known Disease Resistance Loci. Frontiers in Plant Science. 10. 26–26. 26 indexed citations
5.
Zhang, Hongyu, Zhao-Hai Wang, Jianbo Song, et al.. (2018). High Nighttime Temperature Induces Antioxidant Molecule Perturbations in Heat-Sensitive and Heat-Tolerant Coisogenic Rice (Oryza sativa) Strains. Journal of Agricultural and Food Chemistry. 66(45). 12131–12140. 9 indexed citations
6.
Liu, Fang, Pandi Wang, Xiaobo Zhang, et al.. (2017). The genetic and molecular basis of crop height based on a rice model. Planta. 247(1). 1–26. 113 indexed citations
7.
Fu, Ying, Meili Xiao, Annaliese S. Mason, et al.. (2016). Small RNA changes in synthetic Brassica napus. Planta. 244(3). 607–622. 13 indexed citations
8.
Fu, Donghui, Annaliese S. Mason, Meili Xiao, & Hui Yan. (2015). Effects of genome structure variation, homeologous genes and repetitive DNA on polyploid crop research in the age of genomics. Plant Science. 242. 37–46. 16 indexed citations
9.
Liu, Fang, Xiaobo Zhang, Changming Lu, et al.. (2015). Non-specific lipid transfer proteins in plants: presenting new advances and an integrated functional analysis. Journal of Experimental Botany. 66(19). 5663–5681. 216 indexed citations
10.
Gao, Caihua, Annaliese S. Mason, Zhanglin Tang, et al.. (2014). Regularities in simple sequence repeat variations induced by a cross of resynthesized Brassica napus and natural Brassica napus.. Plant Omics. 7(1). 35–46. 7 indexed citations
11.
Liu, Fang, Yuping Xia, Donghui Fu, et al.. (2014). Enhanced seed oil content by overexpressing genes related to triacylglyceride synthesis. Gene. 557(2). 163–171. 52 indexed citations
12.
Fu, Donghui, Meili Xiao, Alice Hayward, et al.. (2014). What is crop heterosis: new insights into an old topic. Journal of Applied Genetics. 56(1). 1–13. 48 indexed citations
13.
Liu, Yingchun, Meili Xiao, Annaliese S. Mason, et al.. (2013). Characterization of Structure, Divergence and Regulation Patterns of Plant Promoters. 3(1). 4 indexed citations
14.
Wei, Lijuan, Annaliese S. Mason, Meili Xiao, et al.. (2013). Extensive tRNA Gene Changes in Synthetic Brassica napus. Journal of Molecular Evolution. 78(1). 38–49. 4 indexed citations
15.
Wu, Liang, Dong Liu, Rui Zhang, et al.. (2013). Regulation of FLOWERING LOCUS T by a MicroRNA in Brachypodium distachyon. The Plant Cell. 25(11). 4363–4377. 78 indexed citations
16.
Shi, Jiaqin, Shunmou Huang, Donghui Fu, et al.. (2013). Evolutionary Dynamics of Microsatellite Distribution in Plants: Insight from the Comparison of Sequenced Brassica, Arabidopsis and Other Angiosperm Species. PLoS ONE. 8(3). e59988–e59988. 36 indexed citations
17.
Fu, Donghui, Lijuan Wei, Meili Xiao, & Alice Hayward. (2013). New insights into helitron transposable elements in the mesopolyploid species Brassica rapa. Gene. 532(2). 236–245. 8 indexed citations
18.
Gao, Caihua, Meili Xiao, Xiaodong Ren, et al.. (2012). Characterization and functional annotation of nested transposable elements in eukaryotic genomes. Genomics. 100(4). 222–230. 30 indexed citations
19.
Wei, Lijuan, Meili Xiao, Bi Ma, et al.. (2012). New Insights into Nested Long Terminal Repeat Retrotransposons in Brassica Species. Molecular Plant. 6(2). 470–482. 17 indexed citations
20.
Gao, Caihua, Meili Xiao, Lingyan Jiang, et al.. (2012). Characterization of transcriptional activation and inserted-into-gene preference of various transposable elements in the Brassica species. Molecular Biology Reports. 39(7). 7513–7523. 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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