Fengqing Han

1.1k total citations
56 papers, 738 citations indexed

About

Fengqing Han is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Fengqing Han has authored 56 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 41 papers in Molecular Biology and 6 papers in Biochemistry. Recurrent topics in Fengqing Han's work include Photosynthetic Processes and Mechanisms (15 papers), Plant Disease Resistance and Genetics (15 papers) and Plant Molecular Biology Research (14 papers). Fengqing Han is often cited by papers focused on Photosynthetic Processes and Mechanisms (15 papers), Plant Disease Resistance and Genetics (15 papers) and Plant Molecular Biology Research (14 papers). Fengqing Han collaborates with scholars based in China and Netherlands. Fengqing Han's co-authors include Zhansheng Li, Yangyong Zhang, Honghao Lv, Limei Yang, Zhiyuan Fang, Mu Zhuang, Yumei Liu, Jialei Ji, Yong Wang and Hailong Yu and has published in prestigious journals such as Nature Communications, Nature Genetics and Scientific Reports.

In The Last Decade

Fengqing Han

55 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengqing Han China 17 532 505 73 70 27 56 738
Mingyun Huang United States 7 814 1.5× 594 1.2× 98 1.3× 60 0.9× 21 0.8× 8 989
Suxia Yuan China 16 424 0.8× 444 0.9× 51 0.7× 30 0.4× 52 1.9× 39 629
Qiyue Ma United States 7 465 0.9× 342 0.7× 52 0.7× 101 1.4× 9 0.3× 8 596
Yun-Ru Chen United States 6 974 1.8× 650 1.3× 89 1.2× 44 0.6× 33 1.2× 9 1.1k
Tiyu Ding China 8 273 0.5× 245 0.5× 40 0.5× 66 0.9× 19 0.7× 13 386
Yoshihito Shinozaki Japan 13 706 1.3× 520 1.0× 44 0.6× 51 0.7× 18 0.7× 20 816
Konstantinos G. Alexiou Spain 12 499 0.9× 320 0.6× 146 2.0× 23 0.3× 21 0.8× 19 615
Piqing Liu China 10 506 1.0× 500 1.0× 75 1.0× 47 0.7× 6 0.2× 21 681
Weidi He China 15 534 1.0× 426 0.8× 28 0.4× 41 0.6× 12 0.4× 28 701
Yazhong Jin China 14 415 0.8× 280 0.6× 45 0.6× 30 0.4× 7 0.3× 19 518

Countries citing papers authored by Fengqing Han

Since Specialization
Citations

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

Fields of papers citing papers by Fengqing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengqing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Fengqing Han. A scholar is included among the top collaborators of Fengqing Han 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 Fengqing Han. Fengqing Han 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.
Zhang, Nan, Limei Yang, Fengqing Han, et al.. (2025). Integrated Transcriptomics and Metabolomics Analysis Reveals Convergent and Divergent Key Molecular Networks of Dominant Genic Male Sterility and Cytoplasmic Male Sterility in Cabbage. International Journal of Molecular Sciences. 26(3). 1259–1259. 1 indexed citations
2.
Gao, Wen-Long, Guangmin Liu, Yumei Liu, et al.. (2025). Metabolome insights into nutrients and glucosinolates in broccoli and lacinato kale. Food Chemistry. 480. 143924–143924. 2 indexed citations
3.
Han, Fengqing, et al.. (2024). ROS, an Important Plant Growth Regulator in Root Growth and Development: Functional Genes and Mechanism. Biology. 13(12). 1033–1033. 11 indexed citations
4.
5.
Han, Fengqing, et al.. (2024). Construction and Identification of Cold Tolerance in Different Broccoli Cultivars at the Seedling Stage. Agronomy. 14(2). 237–237. 3 indexed citations
6.
Li, Xing, Yong Wang, Chengcheng Cai, et al.. (2024). Large-scale gene expression alterations introduced by structural variation drive morphotype diversification in Brassica oleracea. Nature Genetics. 56(3). 517–529. 42 indexed citations
7.
Liu, Yuxiang, Min Wei, Yumei Liu, et al.. (2023). Functional characterization of BoGL5 by an efficient CRISPR/Cas9 genome editing system in broccoli. Scientia Horticulturae. 319. 112136–112136. 6 indexed citations
8.
9.
Han, Fengqing, Xiaoli Zhang, Xing Liu, et al.. (2023). A natural mutation in the promoter of Ms-cd1 causes dominant male sterility in Brassica oleracea. Nature Communications. 14(1). 6212–6212. 14 indexed citations
10.
Liu, Yumei, et al.. (2023). A highly efficient genetic transformation system for broccoli and subcellular localization. Frontiers in Plant Science. 14. 1091588–1091588. 7 indexed citations
11.
Zhao, Xinyu, Limei Yang, Yangyong Zhang, et al.. (2023). Map-based cloning and CRISPR/Cas9-based editing uncover BoNA1 as the causal gene for the no-anthocyanin-accumulation phenotype in curly kale (Brassica oleracea var. sabellica). Horticulture Research. 10(8). uhad133–uhad133. 6 indexed citations
12.
Han, Fengqing, Xiaoli Zhang, Limei Yang, et al.. (2021). Genome-wide characterization and analysis of the anthocyanin biosynthetic genes in Brassica oleracea. Planta. 254(5). 92–92. 10 indexed citations
13.
Huang, Jingjing, Jifeng Sun, Suxia Yuan, et al.. (2020). Mapping of QTLs detected in a broccoli double diploid population for planting density traits. Scientia Horticulturae. 277. 109835–109835. 3 indexed citations
14.
Dong, Xin, Jialei Ji, Limei Yang, et al.. (2020). BoCER1 is essential for the synthesis of cuticular wax in cabbage (Brassica oleracea L. var. capitata). Scientia Horticulturae. 277. 109801–109801. 19 indexed citations
15.
Lv, Honghao, Yong Wang, Fengqing Han, et al.. (2020). A high-quality reference genome for cabbage obtained with SMRT reveals novel genomic features and evolutionary characteristics. Scientific Reports. 10(1). 12394–12394. 32 indexed citations
16.
Yu, Hailong, Zhiyuan Li, Wenjing Ren, et al.. (2020). Creation of fertility-restored materials for Ogura CMS in Brassica oleracea by introducing Rfo gene from Brassica napus via an allotriploid strategy. Theoretical and Applied Genetics. 133(10). 2825–2837. 16 indexed citations
17.
18.
Liu, Xiaoping, Fengqing Han, Zhiyuan Fang, et al.. (2017). Genetics and fine mapping of a purple leaf gene, BoPr, in ornamental kale (Brassica oleracea L. var. acephala). BMC Genomics. 18(1). 230–230. 60 indexed citations
19.
Lv, Honghao, Qingbiao Wang, Fengqing Han, et al.. (2017). Genome-wide indel/SSR scanning reveals significant loci associated with excellent agronomic traits of a cabbage (Brassica oleracea) elite parental line ‘01–20’. Scientific Reports. 7(1). 41696–41696. 13 indexed citations
20.
Lv, Honghao, Qingbiao Wang, Xing Liu, et al.. (2016). Whole-Genome Mapping Reveals Novel QTL Clusters Associated with Main Agronomic Traits of Cabbage (Brassica oleracea var. capitata L.). Frontiers in Plant Science. 7. 989–989. 27 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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