Daqi Fu

826 total citations
20 papers, 630 citations indexed

About

Daqi Fu is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Daqi Fu has authored 20 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 13 papers in Molecular Biology and 5 papers in Food Science. Recurrent topics in Daqi Fu's work include Plant Gene Expression Analysis (9 papers), Postharvest Quality and Shelf Life Management (6 papers) and Plant Virus Research Studies (6 papers). Daqi Fu is often cited by papers focused on Plant Gene Expression Analysis (9 papers), Postharvest Quality and Shelf Life Management (6 papers) and Plant Virus Research Studies (6 papers). Daqi Fu collaborates with scholars based in China, United Kingdom and United States. Daqi Fu's co-authors include Yunbo Luo, Hongliang Zhu, Benzhong Zhu, Yongfang Yang, Ran Li, Liwei Wen, Xiaoying Shen, Huaxue Yan, Haiping Liu and Jinhua Zuo and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and New Phytologist.

In The Last Decade

Daqi Fu

16 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daqi Fu China	11	501	383	118	59	57	20	630
Julien Curaba United States	9	699 1.4×	478 1.2×	28 0.2×	11 0.2×	22 0.4×	12	803
Tomáš Kocábek Czechia	15	531 1.1×	403 1.1×	39 0.3×	7 0.1×	43 0.8×	30	654
Zhinan Huang China	16	639 1.3×	595 1.6×	36 0.3×	26 0.4×	21 0.4×	25	809
Felipe Fenselau de Felippes Australia	12	1.1k 2.2×	983 2.6×	17 0.1×	39 0.7×	24 0.4×	18	1.4k
Seungill Kim South Korea	15	735 1.5×	286 0.7×	32 0.3×	12 0.2×	19 0.3×	29	823
Jun Mei China	10	330 0.7×	285 0.7×	10 0.1×	63 1.1×	35 0.6×	30	480
Xitie Ling China	11	431 0.9×	193 0.5×	98 0.8×	33 0.6×	19 0.3×	21	523
Zhongyun Piao China	19	1.2k 2.4×	566 1.5×	234 2.0×	9 0.2×	12 0.2×	61	1.3k
Yuwen Yang China	14	890 1.8×	418 1.1×	204 1.7×	85 1.4×	8 0.1×	31	1.0k
Qiuxian Bai China	7	249 0.5×	191 0.5×	25 0.2×	16 0.3×	14 0.2×	18	311

Countries citing papers authored by Daqi Fu

Since Specialization

Citations

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

Fields of papers citing papers by Daqi Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqi Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Daqi Fu. A scholar is included among the top collaborators of Daqi Fu 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 Daqi Fu. Daqi Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhu, Benzhong, Daqi Fu, Guiqin Qu, et al.. (2025). SlMES1 modulates methyl salicylate to influence fruit volatile profiles in tomato. Plant Physiology and Biochemistry. 221. 109561–109561.

Li, Hongli, et al.. (2025). Transcription factors SlNOR and SlNOR-like1 regulate steroidal glycoalkaloids biosynthesis in tomato fruit. International Journal of Biological Macromolecules. 299. 140157–140157.

Ma, Liqun, Tao Lin, Andrey R. Suprun, et al.. (2025). lncRNA1471 mediates tomato‐ripening initiation by binding to the ASR transcription factor. The Plant Journal. 121(5). e70050–e70050.

Ma, Liqun, Tao Lin, Guiqin Qu, et al.. (2025). A SlRBP1-SlFBA7/SlGPIMT module regulates fruit size in tomato. Horticulture Research. 12(7). uhaf089–uhaf089.

Ma, Liqun, Hui Tang, Daqi Fu, et al.. (2025). Comprehensive identification of ripening‐related RNA‐binding proteins in tomatoes using improved plant phase extraction. The Plant Journal. 122(3). e70215–e70215. 1 indexed citations

He, Jing, Yunpeng Zhou, Christoph‐Martin Geilfus, et al.. (2024). Enhancing tomato fruit antioxidant potential through hydrogen nanobubble irrigation. Horticulture Research. 11(6). uhae111–uhae111. 5 indexed citations

Xu, Ranran, et al.. (2023). PsERF1B-PsMYB10.1-PsbHLH3 module enhances anthocyanin biosynthesis in the flesh-reddening of amber-fleshed plum (cv. Friar) fruit in response to cold storage. Horticulture Research. 10(6). uhad091–uhad091. 13 indexed citations

Gao, Ying, Yujing Lin, Min Xu, et al.. (2022). The role and interaction between transcription factor NAC‐NOR and DNA demethylase SlDML2 in the biosynthesis of tomato fruit flavor volatiles. New Phytologist. 235(5). 1913–1926. 50 indexed citations

Wang, Cuicui, Lanhuan Meng, Ying Gao, Donald Grierson, & Daqi Fu. (2018). Manipulation of Light Signal Transduction Factors as a Means of Modifying Steroidal Glycoalkaloids Accumulation in Tomato Leaves. Frontiers in Plant Science. 9. 437–437. 27 indexed citations

10.

Zhao, Xiaodan, et al.. (2018). Role of the tomato TAGL1 gene in regulating fruit metabolites elucidated using RNA sequence and metabolomics analyses. PLoS ONE. 13(6). e0199083–e0199083. 23 indexed citations

11.

Wang, Cuicui & Daqi Fu. (2018). Virus-Induced Gene Silencing of the Eggplant Chalcone Synthase Gene during Fruit Ripening Modifies Epidermal Cells and Gravitropism. Journal of Agricultural and Food Chemistry. 66(11). 2623–2629. 16 indexed citations

12.

Wang, Xiang, et al.. (2018). Improving quality control and transparency in honey peach export chain by a multi-sensors-managed traceability system. Food Control. 88. 169–180. 24 indexed citations

13.

Wang, Cuicui, Maria Sulli, & Daqi Fu. (2017). The role of phytochromes in regulating biosynthesis of sterol glycoalkaloid in eggplant leaves. PLoS ONE. 12(12). e0189481–e0189481. 9 indexed citations

14.

Yang, Yongfang, Ran Li, Daqi Fu, et al.. (2015). RNA sequencing and functional analysis implicate the regulatory role of long non-coding RNAs in tomato fruit ripening. Journal of Experimental Botany. 66(15). 4483–4495. 173 indexed citations

15.

Cao, Dongyan, Zheng Ju, Chao Gao, et al.. (2014). Genome-wide identification of cytosine-5 DNA methyltransferases and demethylases in Solanum lycopersicum. Gene. 550(2). 230–237. 48 indexed citations

16.

Pan, Xiaoqi, Benzhong Zhu, Yunbo Luo, & Daqi Fu. (2013). Correction: Unraveling the Protein Network of Tomato Fruit in Response to Necrotrophic Phytopathogenic Rhizopus nigricans. PLoS ONE. 8(10). 7 indexed citations

17.

Zuo, Jinhua, Daqi Fu, Yi Zhu, et al.. (2013). SRNAome parsing yields insights into tomato fruit ripening control. Physiologia Plantarum. 149(4). 540–553. 10 indexed citations

18.

Liu, Haiping, Daqi Fu, Benzhong Zhu, et al.. (2012). Virus‐induced Gene Silencing in Eggplant (Solanum melongena). Journal of Integrative Plant Biology. 54(6). 422–429. 56 indexed citations

19.

Yan, Huaxue, Daqi Fu, Benzhong Zhu, et al.. (2012). Sprout vacuum-infiltration: a simple and efficient agroinoculation method for virus-induced gene silencing in diverse solanaceous species. Plant Cell Reports. 31(9). 1713–1722. 80 indexed citations

20.

Fu, Daqi, Hongliang Zhu, Hong‐Xing Zhang, et al.. (2006). Enhancement of Virus-induced Gene Silencing in Tomato by Low Temperature and Low Humidity. Molecules and Cells. 21(1). 153–160. 88 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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