Fa Cui

2.7k total citations
68 papers, 1.6k citations indexed

About

Fa Cui is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Fa Cui has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Plant Science, 46 papers in Genetics and 18 papers in Agronomy and Crop Science. Recurrent topics in Fa Cui's work include Wheat and Barley Genetics and Pathology (54 papers), Genetic Mapping and Diversity in Plants and Animals (46 papers) and Genetics and Plant Breeding (33 papers). Fa Cui is often cited by papers focused on Wheat and Barley Genetics and Pathology (54 papers), Genetic Mapping and Diversity in Plants and Animals (46 papers) and Genetics and Plant Breeding (33 papers). Fa Cui collaborates with scholars based in China, Germany and Tunisia. Fa Cui's co-authors include Honggang Wang, Chunhua Zhao, Anming Ding, Xingfeng Li, Yinguang Bao, Chunhua Zhao, Jun‐Yuan Ji, Xiaoli Fan, Junming Li and Jun Li and has published in prestigious journals such as Nature Communications, Scientific Reports and The Plant Journal.

In The Last Decade

Fa Cui

62 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fa Cui China 22 1.5k 970 400 145 26 68 1.6k
Gautam Saripalli India 16 773 0.5× 233 0.2× 132 0.3× 154 1.1× 36 1.4× 36 836
Derong Hao China 16 841 0.6× 247 0.3× 93 0.2× 140 1.0× 23 0.9× 32 898
Charlene P. Wight Canada 20 856 0.6× 429 0.4× 88 0.2× 164 1.1× 53 2.0× 35 949
Zhongdong Dong China 14 694 0.5× 327 0.3× 111 0.3× 153 1.1× 16 0.6× 35 756
Jafar Ahmadi Iran 16 655 0.4× 197 0.2× 127 0.3× 121 0.8× 19 0.7× 44 720
S. R. McCouch United States 9 1.0k 0.7× 727 0.7× 51 0.1× 140 1.0× 18 0.7× 16 1.1k
Elahe Tavakol Iran 16 669 0.4× 259 0.3× 90 0.2× 177 1.2× 7 0.3× 30 720
Paul Eckermann Australia 14 611 0.4× 301 0.3× 93 0.2× 135 0.9× 33 1.3× 23 655
L. M. Mansur United States 14 1.5k 1.0× 332 0.3× 113 0.3× 119 0.8× 20 0.8× 28 1.5k

Countries citing papers authored by Fa Cui

Since Specialization
Citations

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

Fields of papers citing papers by Fa Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fa Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Fa Cui. A scholar is included among the top collaborators of Fa Cui 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 Fa Cui. Fa Cui 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, Zixin, Zhenjun Sun, Jiawei Mao, et al.. (2025). Accelerating wheat (Triticum aestivum) proteomics using a tandem digestion approach. Journal of Cereal Science. 123. 104133–104133. 1 indexed citations
2.
Wang, Zixu, Yiming Wang, Ran Qin, et al.. (2025). TaHAL3‐7A increases grain yield by enhancing photosynthetic pigment content in wheat (Triticum aestivum L.). The Plant Journal. 122(5). e70274–e70274.
3.
Yang, Zhen, Mei Song, Xinbo Huang, et al.. (2025). AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning. Theoretical and Applied Genetics. 138(9). 204–204. 1 indexed citations
4.
Wang, Zixu, Faxiang Wang, Chang Xie, et al.. (2024). EMS-induced missense mutation in TaCHLI-7D affects leaf color and yield-related traits in wheat. Theoretical and Applied Genetics. 137(10). 223–223. 5 indexed citations
5.
Wang, Zixu, Xinrong Hu, Chengxue Ma, et al.. (2024). Genome-wide association study and genomic selection of spike-related traits in bread wheat. Theoretical and Applied Genetics. 137(6). 131–131. 6 indexed citations
6.
Liu, Wei, Chunhua Zhao, Han Sun, et al.. (2024). Mapping QTLs with additive and epistatic effects for awn length and their effects on kernel-related traits in common wheat. Frontiers in Plant Science. 15. 1417588–1417588. 2 indexed citations
7.
Qin, Ran, Lei Han, Yongzhen Wu, et al.. (2024). Fine mapping of a major QTL, qKl-1BL controlling kernel length in common wheat. Theoretical and Applied Genetics. 137(3). 67–67. 3 indexed citations
8.
Qin, Ran, Xinyao Shi, Chenyang Wang, et al.. (2023). Characterization and fine mapping analysis of a major stable QTL qKnps-4A for kernel number per spike in wheat. Theoretical and Applied Genetics. 136(10). 211–211. 3 indexed citations
9.
Zhang, Hao, Zhiyuan Jin, Fa Cui, et al.. (2023). Epigenetic modifications regulate cultivar-specific root development and metabolic adaptation to nitrogen availability in wheat. Nature Communications. 14(1). 8238–8238. 19 indexed citations
10.
Sun, Han, Chengxue Ma, Jingxue Li, et al.. (2022). The brassinosteroid biosynthesis gene TaD11-2A controls grain size and its elite haplotype improves wheat grain yields. Theoretical and Applied Genetics. 135(8). 2907–2923. 32 indexed citations
11.
Sun, Han, Bei Li, Yangyang Shang, et al.. (2021). The brassinosteroid biosynthesis gene, ZmD11, increases seed size and quality in rice and maize. Plant Physiology and Biochemistry. 160. 281–293. 23 indexed citations
12.
Zhu, Anting, Xin Hu, Jie Chen, et al.. (2020). Metabolomics analysis and metabolite‐agronomic trait associations using kernels of wheat (Triticum aestivum) recombinant inbred lines. The Plant Journal. 103(1). 279–292. 87 indexed citations
13.
Sun, Han, Wenping Zhang, Yongzhen Wu, et al.. (2020). The Circadian Clock Gene, TaPRR1, Is Associated With Yield-Related Traits in Wheat (Triticum aestivum L.). Frontiers in Plant Science. 11. 285–285. 22 indexed citations
14.
Zhang, Na, Xiaoli Fan, Fa Cui, et al.. (2017). Characterization of the temporal and spatial expression of wheat (Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits. Theoretical and Applied Genetics. 130(6). 1235–1252. 56 indexed citations
15.
Cui, Fa, Xiaoli Fan, Mei Chen, et al.. (2015). QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress. Theoretical and Applied Genetics. 129(3). 469–484. 73 indexed citations
16.
Zhao, Chunhua, et al.. (2013). Genetic analysis of important loci in the winter wheat backbone parent Aimengniu-V.. Australian Journal of Crop Science. 7(2). 182–188. 6 indexed citations
17.
Zhang, Hong, Fa Cui, Lin Wang, et al.. (2013). Conditional and unconditional QTL mapping of drought-tolerance-related traits of wheat seedling using two related RIL populations. Journal of Genetics. 92(2). 213–231. 43 indexed citations
18.
Wang, Lin, Fa Cui, Jinping Wang, et al.. (2012). Conditional QTL mapping of protein content in wheat with respect to grain yield and its components. Journal of Genetics. 91(3). 303–312. 43 indexed citations
19.
Li, Yu, et al.. (2011). Identification of 1BL·1RS Wheat-Rye Chromosome Translocations via 1RS Specific Molecular Markers and Genomic in situ Hybridization. ACTA AGRONOMICA SINICA. 37(3). 563–569. 6 indexed citations
20.
Cui, Fa, Anming Ding, Jun Li, et al.. (2011). Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?. Journal of Genetics. 90(3). 409–425. 43 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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