Dengfeng Hong

1.5k total citations
57 papers, 897 citations indexed

About

Dengfeng Hong is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Dengfeng Hong has authored 57 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 40 papers in Plant Science and 11 papers in Biochemistry. Recurrent topics in Dengfeng Hong's work include Photosynthetic Processes and Mechanisms (27 papers), Plant Reproductive Biology (21 papers) and Nitrogen and Sulfur Effects on Brassica (13 papers). Dengfeng Hong is often cited by papers focused on Photosynthetic Processes and Mechanisms (27 papers), Plant Reproductive Biology (21 papers) and Nitrogen and Sulfur Effects on Brassica (13 papers). Dengfeng Hong collaborates with scholars based in China, United Kingdom and Tunisia. Dengfeng Hong's co-authors include Lili Wan, Guangsheng Yang, Guangsheng Yang, Pingwu Liu, Faming Dong, Qiang Xin, Shipeng Li, Liwu Zhang, Pengfei Wang and Xiaohui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Dengfeng Hong

52 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dengfeng Hong China 18 685 672 136 133 21 57 897
Yongcai Lai China 11 875 1.3× 376 0.6× 110 0.8× 160 1.2× 22 1.0× 24 984
Habibur Rahman Canada 19 896 1.3× 469 0.7× 113 0.8× 114 0.9× 20 1.0× 77 1.0k
Johan Bucher Netherlands 15 482 0.7× 411 0.6× 56 0.4× 99 0.7× 8 0.4× 26 595
Jiangzhe Zhao China 13 728 1.1× 351 0.5× 47 0.3× 47 0.4× 12 0.6× 21 804
M. Hasan Jordan 8 352 0.5× 280 0.4× 63 0.5× 150 1.1× 25 1.2× 19 458
W. Lühs Germany 12 503 0.7× 502 0.7× 211 1.6× 157 1.2× 15 0.7× 21 701
Eleni Bachlava United States 16 623 0.9× 191 0.3× 73 0.5× 267 2.0× 29 1.4× 17 680
Deyun Qiu China 13 1.1k 1.7× 695 1.0× 27 0.2× 77 0.6× 8 0.4× 16 1.3k
Huafang Wan China 12 363 0.5× 314 0.5× 99 0.7× 56 0.4× 30 1.4× 28 485
Tongbing Su China 17 628 0.9× 464 0.7× 22 0.2× 75 0.6× 12 0.6× 47 793

Countries citing papers authored by Dengfeng Hong

Since Specialization
Citations

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

Fields of papers citing papers by Dengfeng Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengfeng Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Dengfeng Hong. A scholar is included among the top collaborators of Dengfeng Hong 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 Dengfeng Hong. Dengfeng Hong 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
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Zhang, Jinyun, et al.. (2024). Zinc finger transcription factors BnaSTOP2s regulate sulfur metabolism and confer Sclerotinia sclerotiorum resistance in Brassica napus. Journal of Integrative Plant Biology. 67(1). 101–116. 2 indexed citations
4.
Guan, Zhilin, et al.. (2024). The story of a decade: Genomics, functional genomics, and molecular breeding in Brassica napus. Plant Communications. 5(4). 100884–100884. 13 indexed citations
5.
Pan, Yuan, John P. Hammond, Haijiang Liu, et al.. (2024). Trehalose‐6‐phosphate synthase 8 increases photosynthesis and seed yield in Brassica napus. The Plant Journal. 118(2). 437–456. 9 indexed citations
6.
Wang, Pengfei, et al.. (2024). Allelic Variation of BnaFTA2 and BnaFTC6 Is Associated With Flowering Time and Seasonal Crop Type in Rapeseed (Brassica napus L.). Plant Cell & Environment. 48(1). 852–865. 1 indexed citations
7.
Gu, Jianwei, et al.. (2023). Mutating BnEOD1s via CRISPR-Cas9 increases the seed size and weight in Brassica napus. Molecular Breeding. 43(11). 79–79. 3 indexed citations
8.
Wang, Pengfei, et al.. (2023). Xiaoyun, a model accession for functional genomics research in Brassica napus. Plant Communications. 5(1). 100727–100727. 9 indexed citations
9.
Li, Xiang, et al.. (2023). An efficient method to quantify silique (fruit) parameters in rapeseed and other crops. 2(1). 100023–100023. 2 indexed citations
10.
Ali, Ahmad, Wenhui Li, Hui Zhang, et al.. (2023). Linkage and association mapping of ovule number per ovary (ON) in oilseed rape (Brassica napus L.). Molecular Breeding. 43(2). 6 indexed citations
11.
Zhou, Xianming, Haiyan Zhang, Ying Liu, et al.. (2022). Natural variation and artificial selection at the BnaC2.MYB28 locus modulate Brassica napus seed glucosinolate. PLANT PHYSIOLOGY. 191(1). 352–368. 11 indexed citations
12.
Duan, Xingyu, Pengfei Wang, Xiang Li, et al.. (2021). Comprehensive speed breeding: a high‐throughput and rapid generation system for long‐day crops. Plant Biotechnology Journal. 20(1). 13–15. 33 indexed citations
13.
Zhou, Xianming, Haiyan Zhang, Pengfei Wang, et al.. (2021). BnaC7.ROT3, the causal gene of cqSL-C7, mediates silique length by affecting cell elongation in Brassica napus. Journal of Experimental Botany. 73(1). 154–167. 15 indexed citations
14.
Wan, Lili, Qiang Xin, Xiaohui Zhang, et al.. (2021). Optimizing glyphosate tolerance in rapeseed by CRISPR/Cas9-based geminiviral donor DNA replicon system with Csy4-based single-guide RNA processing. Journal of Experimental Botany. 72(13). 4796–4808. 22 indexed citations
15.
Tan, Zengdong, Yuting Zhang, Hu Zhao, et al.. (2021). Genome‐ and transcriptome‐wide association studies reveal the genetic basis and the breeding history of seed glucosinolate content in Brassica napus. Plant Biotechnology Journal. 20(1). 211–225. 57 indexed citations
16.
Zhang, Xiaohui, Pengfei Wang, Feiyang Liu, et al.. (2021). A 24,482-bp deletion is associated with increased seed weight in Brassica napus L.. Theoretical and Applied Genetics. 134(8). 2653–2669. 7 indexed citations
17.
Xin, Qiang, Xiang Wang, Yupeng Gao, et al.. (2020). Molecular mechanisms underpinning the multiallelic inheritance of MS5 in Brassica napus. The Plant Journal. 103(5). 1723–1734. 17 indexed citations
18.
Wang, Hao, Min Yan, Mei Xiong, et al.. (2020). Genetic dissection of thousand-seed weight and fine mapping of cqSW.A03-2 via linkage and association analysis in rapeseed (Brassica napus L.). Theoretical and Applied Genetics. 133(4). 1321–1335. 24 indexed citations
19.
Liu, Ying, Xianming Zhou, Min Yan, et al.. (2019). Fine mapping and candidate gene analysis of a seed glucosinolate content QTL, qGSL-C2, in rapeseed (Brassica napus L.). Theoretical and Applied Genetics. 133(2). 479–490. 20 indexed citations
20.
Xin, Qiang, Yi Shen, Xi Li, et al.. (2016). MS5 Mediates Early Meiotic Progression and Its Natural Variants May Have Applications for Hybrid Production in Brassica napus. The Plant Cell. 28(6). 1263–1278. 29 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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