Shoufen Dai

1.0k total citations
52 papers, 640 citations indexed

About

Shoufen Dai is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Shoufen Dai has authored 52 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 13 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Shoufen Dai's work include Wheat and Barley Genetics and Pathology (44 papers), Plant Disease Resistance and Genetics (22 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Shoufen Dai is often cited by papers focused on Wheat and Barley Genetics and Pathology (44 papers), Plant Disease Resistance and Genetics (22 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Shoufen Dai collaborates with scholars based in China, Canada and Australia. Shoufen Dai's co-authors include Youliang Zheng, Yuming Wei, Zehong Yan, Dengcai Liu, Xiujin Lan, Qiantao Jiang, Lianquan Zhang, Jirui Wang, Yaxi Liu and Zhien Pu and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Shoufen Dai

49 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoufen Dai China 16 592 160 120 79 64 52 640
Tadashi Tabiki Japan 14 501 0.8× 66 0.4× 61 0.5× 154 1.9× 101 1.6× 35 585
I. Barclay Australia 10 491 0.8× 146 0.9× 71 0.6× 112 1.4× 69 1.1× 18 533
Jacques Bordes France 16 738 1.2× 340 2.1× 83 0.7× 75 0.9× 181 2.8× 18 802
B. Margiotta Italy 14 676 1.1× 60 0.4× 101 0.8× 179 2.3× 92 1.4× 29 719
Zhensheng Lei China 9 374 0.6× 47 0.3× 51 0.4× 30 0.4× 53 0.8× 30 390
W. B. Griffin New Zealand 10 317 0.5× 37 0.2× 65 0.5× 83 1.1× 52 0.8× 17 373
Sun HaiYan China 10 336 0.6× 198 1.2× 50 0.4× 27 0.3× 52 0.8× 19 387
Z. Stehno Czechia 12 444 0.8× 128 0.8× 24 0.2× 34 0.4× 144 2.3× 46 504
Kay Trafford United Kingdom 13 376 0.6× 53 0.3× 88 0.7× 203 2.6× 33 0.5× 16 505
Zhijun Qiao China 12 233 0.4× 44 0.3× 81 0.7× 50 0.6× 56 0.9× 38 356

Countries citing papers authored by Shoufen Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shoufen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoufen Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shoufen Dai. A scholar is included among the top collaborators of Shoufen Dai 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 Shoufen Dai. Shoufen Dai 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.
Dai, Shoufen, et al.. (2024). Quality and flour-blending effects of wheat lines with triple null alleles at the Glu-1 locus. Journal of Food Composition and Analysis. 129. 106131–106131. 1 indexed citations
2.
3.
Zuo, Yuanyuan, et al.. (2024). Chromosome stability of synthetic Triticum turgidum–Aegilops umbellulata hybrids. BMC Plant Biology. 24(1). 391–391. 3 indexed citations
4.
Dai, Shoufen, Wanjun Yang, Qianyu Liu, et al.. (2021). Quality of wheat lines solely expressing high‐molecular‐weight glutenin allelic variation of 1Dy 12. New Zealand Journal of Crop and Horticultural Science. 51(1). 93–107.
5.
Long, Li, Fangjie Yao, Yukun Cheng, et al.. (2021). A Stable Quantitative Trait Locus on Chromosome 5BL Combined with Yr18 Conferring High-Level Adult Plant Resistance to Stripe Rust in Chinese Wheat Landrace Anyuehong. Phytopathology. 111(9). 1594–1601. 12 indexed citations
6.
Pu, Zhien, Guanghui Wei, Zehou Liu, et al.. (2021). Selenium and anthocyanins share the same transcription factors R2R3MYB and bHLH in wheat. Food Chemistry. 356. 129699–129699. 23 indexed citations
7.
Dai, Shoufen, Xiang Qin, Yuanyuan Zuo, et al.. (2021). Production and characterization of a disomic 1M/1D Triticum aestivum-Aegilops comosa substitution line. Molecular Breeding. 41(2). 16–16. 5 indexed citations
8.
Wu, Yu, Yuqi Wang, Fangjie Yao, et al.. (2020). Molecular Mapping of a Novel Quantitative Trait Locus Conferring Adult Plant Resistance to Stripe Rust in Chinese Wheat Landrace Guangtoumai. Plant Disease. 105(7). 1919–1925. 4 indexed citations
9.
Dai, Shoufen, Yaxi Liu, Jinbo Zhang, et al.. (2020). The genetic diversity of group-1 homoeologs and characterization of novel LMW-GS genes from Chinese Xinjiang winter wheat landraces (Triticum aestivum L.). Journal of Applied Genetics. 61(3). 379–389. 4 indexed citations
10.
Dai, Shoufen, Li Zhao, Dengcai Liu, et al.. (2018). Development and characterization ofTriticum turgidum–Aegilops umbellulataamphidiploids. Plant Genetic Resources. 17(1). 24–32. 9 indexed citations
11.
Feng, Junyan, Guoyue Chen, Yuming Wei, et al.. (2015). Identification and mapping stripe rust resistance gene YrLM168a using extreme individuals and recessive phenotype class in a complicate genetic background. Molecular Genetics and Genomics. 290(6). 2271–2278. 7 indexed citations
12.
Pu, Zhien, Guoyue Chen, Jirui Wang, et al.. (2014). Characterization and Chromosome Location of ADP-ribosylation Factors (ARFs) in Wheat. Pakistan Journal of Biological Sciences. 17(6). 792–801. 2 indexed citations
13.
Qi, Pengfei, Zhao Wang, Qing Chen, et al.. (2014). The γ-gliadin-like γ-prolamin genes in the tribe Triticeae. Journal of Genetics. 93(1). 35–41. 2 indexed citations
14.
Dai, Shoufen, et al.. (2013). Characterization of novel HMW-GS in two diploid species of Eremopyrum. Gene. 519(1). 55–59. 8 indexed citations
15.
Jiang, Qiantao, Jian Ma, Quanzhi Zhao, et al.. (2012). Characterization of HMW-GSs and their gene inaction in tetraploid wheat. Genetica. 140(7-9). 325–335. 10 indexed citations
16.
Jiang, Qiantao, Jian Ma, Yuming Wei, et al.. (2012). Novel variants of HMW glutenin subunits from Aegilops section Sitopsis species in relation to evolution and wheat breeding. BMC Plant Biology. 12(1). 73–73. 28 indexed citations
17.
Peng, Yuanying, Yuming Wei, Bernard R. Baum, et al.. (2010). Phylogenetic investigation of Avena diploid species and the maternal genome donor of Avena polyploids. Taxon. 59(5). 1472–1482. 15 indexed citations
18.
Yan, Zehong, Shoufen Dai, Dengcai Liu, et al.. (2008). Isolation and Characterization of A Novel Glu-Bx HMW-GS Allele from Tibet Bread Wheat Landrace. International Journal of Agricultural Research. 4(1). 38–45. 2 indexed citations
19.
Yan, Zehong, Yuming Wei, Jirui Wang, et al.. (2006). Characterization of two HMW glutenin subunit genes from Taenitherum Nevski. Genetica. 127(1-3). 267–276. 25 indexed citations
20.
Dai, Shoufen. (2005). Identification and Molecular Cloning of Two Novel y-type High-molecular-weight Glutenin Subunit Genes from Aegilops Variables. Xibei nongye xuebao. 1 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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