Fang Yan

2.8k total citations
37 papers, 1.4k citations indexed

About

Fang Yan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Fang Yan has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 24 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Fang Yan's work include Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (8 papers) and Bacterial biofilms and quorum sensing (6 papers). Fang Yan is often cited by papers focused on Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (8 papers) and Bacterial biofilms and quorum sensing (6 papers). Fang Yan collaborates with scholars based in China, United States and France. Fang Yan's co-authors include Yunrong Chai, Yun Chen, Wei Deng, Zhengguo Li, Hongxia Liu, Jianhua Guo, Roberto Kolter, Richard Losick, Yujin Yuan and Jian-Hua Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Applied and Environmental Microbiology.

In The Last Decade

Fang Yan

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fang Yan China	21	998	889	127	123	93	37	1.4k
Yong Yang China	23	797 0.8×	668 0.8×	201 1.6×	91 0.7×	97 1.0×	93	1.5k
Xin Qiao China	24	1.6k 1.6×	1.5k 1.7×	114 0.9×	47 0.4×	109 1.2×	81	2.3k
Jingyin Yu China	31	2.1k 2.1×	1.3k 1.4×	222 1.7×	118 1.0×	72 0.8×	50	2.6k
J.R. Beeching United Kingdom	26	1.6k 1.6×	596 0.7×	56 0.4×	74 0.6×	123 1.3×	62	2.1k
Kátia Castanho Scortecci Brazil	18	943 0.9×	808 0.9×	151 1.2×	38 0.3×	127 1.4×	44	1.5k
Sylwia Jafra Poland	18	780 0.8×	444 0.5×	60 0.5×	96 0.8×	83 0.9×	41	1.2k
Okhee Choi South Korea	18	770 0.8×	475 0.5×	76 0.6×	127 1.0×	112 1.2×	85	1.2k
Nobutaka Someya Japan	22	715 0.7×	634 0.7×	87 0.7×	89 0.7×	87 0.9×	70	1.3k
Montserrat Saladié Australia	16	1.3k 1.3×	673 0.8×	99 0.8×	32 0.3×	150 1.6×	26	1.7k

Countries citing papers authored by Fang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Fang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Yan. A scholar is included among the top collaborators of Fang Yan 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 Fang Yan. Fang Yan 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

Hu, Nan, Yanhua Li, Li Xu, et al.. (2025). pHNRhCas9NG, single expression cassette-based dual-component dual-transcription unit CRISPR/Cas9 system for plant genome editing. Trends in biotechnology. 43(7). 1788–1808. 1 indexed citations

He, Yunxiang, et al.. (2023). Emerging Self‐Assembled Nanoparticles Constructed from Natural Polyphenols for Intestinal Diseases. SHILAP Revista de lepidopterología. 3(11). 8 indexed citations

Yan, Fang, Guojian Hu, Xuesong Ma, et al.. (2021). Tomato SlBL4 plays an important role in fruit pedicel organogenesis and abscission. Horticulture Research. 8(1). 78–78. 20 indexed citations

Guo, Yuanyuan, Jie Li, Fang Yan, et al.. (2019). An event of alternative splicing affects the expression of two BnCYCD3-1-like genes in Brassica napus. Gene. 694. 33–41. 4 indexed citations

Yan, Fang, Wei Deng, Yushuo Gao, et al.. (2019). Overexpression of the KNOX gene Tkn4 affects pollen development and confers sensitivity to gibberellin and auxin in tomato. Plant Science. 281. 61–71. 16 indexed citations

Yuan, Yujin, Xin Xu, Zehao Gong, et al.. (2019). Auxin response factor 6A regulates photosynthesis, sugar accumulation, and fruit development in tomato. Horticulture Research. 6(1). 85–85. 103 indexed citations

Hu, Nan, Zhiqiang Xian, Ning Li, et al.. (2018). Rapid and user-friendly open-source CRISPR/Cas9 system for single- or multi-site editing of tomato genome. Horticulture Research. 6(1). 7–7. 44 indexed citations

Yan, Fang, Yiyang Yu, Kevin Gozzi, et al.. (2017). Genome-Wide Investigation of Biofilm Formation in Bacillus cereus. Applied and Environmental Microbiology. 83(13). 51 indexed citations

Wang, Na, Qiaomu Hu, Wenteng Xu, et al.. (2017). Characterization of a low-density lipoprotein receptor, Lrp13, in Chinese tongue sole (Cynoglossus semilaevis) and medaka (Oryzias latipes). Fish Physiology and Biochemistry. 43(5). 1289–1298. 5 indexed citations

10.

Chen, Yun, Kevin Gozzi, Fang Yan, & Yunrong Chai. (2015). Acetic Acid Acts as a Volatile Signal To Stimulate Bacterial Biofilm Formation. mBio. 6(3). e00392–e00392. 77 indexed citations

11.

Zhang, Xiaolan, Fang Yan, Yuwei Tang, et al.. (2015). Auxin Response GeneSlARF3Plays Multiple Roles in Tomato Development and is Involved in the Formation of Epidermal Cells and Trichomes. Plant and Cell Physiology. 56(11). pcv136–pcv136. 72 indexed citations

12.

Deng, Wei, Fang Yan, Xiaolan Zhang, Yuwei Tang, & Yujin Yuan. (2015). Transcriptional profiling of canola developing embryo and identification of the important roles ofBnDof5.6in embryo development and fatty acids synthesis. Plant and Cell Physiology. 56(8). 1624–1640. 27 indexed citations

13.

Wei, Lei, Wei Zhang, Li Yin, et al.. (2015). Extraction optimization of total triterpenoids from Jatropha curcas leaves using response surface methodology and evaluations of their antimicrobial and antioxidant capacities. Electronic Journal of Biotechnology. 18(2). 88–95. 75 indexed citations

14.

Jiao, Yu, Xiaodong Du, Xiyang Zhao, et al.. (2015). Molecular characterization and expression analysis of purple acid phosphatase gene from pearl oyster Pinctada martensii. Genetics and Molecular Research. 14(1). 552–562. 1 indexed citations

15.

Deng, Wei, et al.. (2012). Down-regulation of SlIAA15 in tomato altered stem xylem development and production of volatile compounds in leaf exudates. Plant Signaling & Behavior. 7(8). 911–913. 31 indexed citations

16.

Chen, Yun, Fang Yan, Yunrong Chai, et al.. (2012). Biocontrol of tomato wilt disease by B acillus subtilis isolates from natural environments depends on conserved genes mediating biofilm formation. Environmental Microbiology. 15(3). 848–864. 344 indexed citations

17.

Li, Jiangang, Jing Cao, Feifei Sun, et al.. (2011). Control of Tobacco mosaic virus by PopW as a Result of Induced Resistance in Tobacco Under Greenhouse and Field Conditions. Phytopathology. 101(10). 1202–1208. 22 indexed citations

18.

Yan, Fang. (2006). DIVERSITY OF HOST PLANTS AND FEEDING SITES OF APHIDS. Acta Zootaxonomica Sinica. 3 indexed citations

19.

Li, Qun, Meng Xiao, Liang Guo, et al.. (2005). Genetic Diversity and Genetic Structure of an Endangered Species, Trillium tschonoskii. Biochemical Genetics. 43(7-8). 445–458. 30 indexed citations

20.

Cai, Yingfan, Hong Zhang, Yu Zeng, et al.. (2004). An optimized gossypol high-performance liquid chromatography assay and its application in evaluation of different gland genotypes of cotton. Journal of Biosciences. 29(1). 67–71. 31 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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