Guangqin Cai

1.3k total citations
31 papers, 870 citations indexed

About

Guangqin Cai is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Guangqin Cai has authored 31 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 15 papers in Molecular Biology and 9 papers in Biochemistry. Recurrent topics in Guangqin Cai's work include Lipid metabolism and biosynthesis (9 papers), Plant Disease Resistance and Genetics (8 papers) and Plant nutrient uptake and metabolism (7 papers). Guangqin Cai is often cited by papers focused on Lipid metabolism and biosynthesis (9 papers), Plant Disease Resistance and Genetics (8 papers) and Plant nutrient uptake and metabolism (7 papers). Guangqin Cai collaborates with scholars based in China, United States and Australia. Guangqin Cai's co-authors include Yongming Zhou, Chuchuan Fan, Jian Wu, Qingyong Yang, Chunyu Zhang, Qing Zhao, Jianwu Li, Xuemin Wang, Sheng Liu and Jiana Li and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Guangqin Cai

30 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangqin Cai China 16 679 525 271 166 47 31 870
Lunwen Qian China 19 738 1.1× 425 0.8× 127 0.5× 277 1.7× 57 1.2× 41 880
Dayong Wei China 15 588 0.9× 430 0.8× 117 0.4× 110 0.7× 42 0.9× 54 716
Zhilin Guan China 6 510 0.8× 450 0.9× 91 0.3× 135 0.8× 11 0.2× 7 653
Jianjun Zhao China 13 579 0.9× 407 0.8× 44 0.2× 127 0.8× 10 0.2× 29 669
Jeffrey M. Leonard United States 12 410 0.6× 317 0.6× 74 0.3× 78 0.5× 25 0.5× 12 541
Jiangzhe Zhao China 13 728 1.1× 351 0.7× 47 0.2× 47 0.3× 12 0.3× 21 804
Wen‐Zhao Xie China 7 449 0.7× 409 0.8× 59 0.2× 118 0.7× 6 0.1× 8 594
André Beló United States 7 486 0.7× 230 0.4× 33 0.1× 212 1.3× 19 0.4× 15 580
Xueyang Min China 14 397 0.6× 200 0.4× 38 0.1× 33 0.2× 26 0.6× 35 468
Yangjun Yu China 18 718 1.1× 525 1.0× 24 0.1× 97 0.6× 12 0.3× 48 915

Countries citing papers authored by Guangqin Cai

Since Specialization
Citations

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

Fields of papers citing papers by Guangqin Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangqin Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Guangqin Cai. A scholar is included among the top collaborators of Guangqin Cai 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 Guangqin Cai. Guangqin Cai 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.
Xu, Mengran, et al.. (2025). Biological Mechanisms of Waterlogging Tolerance in Plants. Plant Cell & Environment. 49(2). 685–699.
2.
Li, Lin, Jialin Fan, Xin Gu, et al.. (2024). Natural variation in BnaA07.MKK9 confers resistance to Sclerotinia stem rot in oilseed rape. Nature Communications. 15(1). 5059–5059. 18 indexed citations
3.
Zhang, Ying, Meng Yin, Sha Liu, et al.. (2024). A visible seedling‐stage screening system for the Brassica napus hybrid breeding by a novel hypocotyl length‐regulated gene BnHL. Plant Biotechnology Journal. 23(2). 442–453. 1 indexed citations
4.
Xue, Yujun, Qian Fang, Mengdi Li, et al.. (2024). Genome-wide identification of the ICS family genes and its role in resistance to Plasmodiophora brassicae in Brassica napus L. International Journal of Biological Macromolecules. 270. 132206–132206. 3 indexed citations
5.
6.
Cai, Guangqin, Aihua Wang, Guixin Yan, et al.. (2024). A new chromosome-scale genome of wild Brassica oleracea provides insights into the domestication of Brassica crops. Journal of Experimental Botany. 75(10). 2882–2899. 5 indexed citations
7.
Gong, Qiuwen, Xinyu Han, Zhenhua Guo, et al.. (2024). Knockout of phosphatidate phosphohydrolase genes confers broad‐spectrum disease resistance in plants. Plant Biotechnology Journal. 23(1). 72–74. 2 indexed citations
8.
Zhao, Qing, Muhammad Shahid, Guangqin Cai, et al.. (2023). Overlapping pathways involved in resistance against Sclerotinia stem rot in Brassica napus revealed through transcriptomic and metabolomic profiling. Plant Growth Regulation. 102(2). 297–312. 1 indexed citations
9.
Cai, Guangqin, Guixin Yan, Jinfeng Wu, et al.. (2023). Whole-Genome Comparison Reveals Structural Variations behind Heading Leaf Trait in Brassica oleracea. International Journal of Molecular Sciences. 24(4). 4063–4063. 3 indexed citations
10.
Zhu, Jieping, et al.. (2023). Research Progress on the Effect of Nitrogen on Rapeseed between Seed Yield and Oil Content and Its Regulation Mechanism. International Journal of Molecular Sciences. 24(19). 14504–14504. 8 indexed citations
11.
Zhan, Na, et al.. (2023). Research Progress in High-Efficiency Utilization of Nitrogen in Rapeseed. International Journal of Molecular Sciences. 24(9). 7752–7752. 11 indexed citations
12.
Zhang, Xiaoying, Guangqin Cai, Olalekan Amoo, et al.. (2021). Fine mapping and candidate gene analysis of a major locus controlling ovule abortion and seed number per silique in Brassica napus L.. Theoretical and Applied Genetics. 134(8). 2517–2530. 18 indexed citations
13.
Cai, Guangqin, Geliang Wang, Sang‐Chul Kim, et al.. (2021). Increased expression of fatty acid and ABC transporters enhances seed oil production in camelina. Biotechnology for Biofuels. 14(1). 49–49. 19 indexed citations
14.
Cai, Guangqin, Chuchuan Fan, Sheng Liu, et al.. (2020). Nonspecific phospholipase C6 increases seed oil production in oilseed Brassicaceae plants. New Phytologist. 226(4). 1055–1073. 36 indexed citations
15.
Liu, Sheng, Chuchuan Fan, Jiana Li, et al.. (2016). A genome-wide association study reveals novel elite allelic variations in seed oil content of Brassica napus. Theoretical and Applied Genetics. 129(6). 1203–1215. 141 indexed citations
16.
Cai, Guangqin, Qingyong Yang, Hao Chen, et al.. (2016). Genetic dissection of plant architecture and yield-related traits in Brassica napus. Scientific Reports. 6(1). 21625–21625. 73 indexed citations
17.
18.
Cai, Guangqin, Qingyong Yang, Bin Yi, et al.. (2014). A Complex Recombination Pattern in the Genome of Allotetraploid Brassica napus as Revealed by a High-Density Genetic Map. PLoS ONE. 9(10). e109910–e109910. 33 indexed citations
19.
Wu, Jian, Guangqin Cai, J. C. Tu, et al.. (2013). Identification of QTLs for Resistance to Sclerotinia Stem Rot and BnaC.IGMT5.a as a Candidate Gene of the Major Resistant QTL SRC6 in Brassica napus. PLoS ONE. 8(7). e67740–e67740. 110 indexed citations
20.
Fan, Chuchuan, Guangqin Cai, Jie Qin, et al.. (2010). Mapping of quantitative trait loci and development of allele-specific markers for seed weight in Brassica napus. Theoretical and Applied Genetics. 121(7). 1289–1301. 76 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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