Xiaohong Yan

920 total citations
40 papers, 696 citations indexed

About

Xiaohong Yan is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Xiaohong Yan has authored 40 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 25 papers in Plant Science and 4 papers in Biochemistry. Recurrent topics in Xiaohong Yan's work include Photosynthetic Processes and Mechanisms (12 papers), Plant Molecular Biology Research (10 papers) and Plant Reproductive Biology (9 papers). Xiaohong Yan is often cited by papers focused on Photosynthetic Processes and Mechanisms (12 papers), Plant Molecular Biology Research (10 papers) and Plant Reproductive Biology (9 papers). Xiaohong Yan collaborates with scholars based in China, United States and Australia. Xiaohong Yan's co-authors include Gang Wu, Xiaofei Li, Wenhui Wei, Donghui Fu, Pandi Wang, Fang Liu, Xinhua Zeng, Junling Luo, Xiaobo Zhang and Jun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaohong Yan

39 papers receiving 685 citations

Peers

Xiaohong Yan

GENET

BIOCH

Jan Podkowiński Poland

George Aux United States

Clare Simpson United Kingdom

Min Yuan China

E Zhiguo China

Hongli Yang China

Fang Chang China

Ryan C. Sartor United States

Tomoko Igawa Japan

Pascual Pérez France

Jan Podkowiński Poland

Xiaohong Yan

237 ×0.5

393 ×0.9

45 ×0.4

GENET

18 ×0.3

BIOCH

29 ×0.7

Citations per year, relative to Xiaohong Yan Xiaohong Yan (= 1×) peers Jan Podkowiński

Countries citing papers authored by Xiaohong Yan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohong Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Yan

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

Li, Yuanhong, Lei Cai, Ting Ding, et al.. (2023). Comparative Transcriptome Analysis Reveals the Molecular Basis of Brassica napus in Response to Aphid Stress. Plants. 12(15). 2855–2855. 3 indexed citations

Yan, Xiaohong, et al.. (2021). Effects of 24-Epibrassinolide on the Chlorophyll Fluorescence Transient in Leaves of Pepper under Drought Stress. Zhiwu yanjiu. 41(1). 53. 1 indexed citations

Huang, Jiaxin, et al.. (2020). An Upstream Open Reading Frame Represses Translation of Chicken PPARγ Transcript Variant 1. Frontiers in Genetics. 11. 165–165. 4 indexed citations

Wang, Huimin, et al.. (2020). Characterization of the complete chloroplast genome sequence of Vicia costata (Fabaceae) and its phylogenetic implications. SHILAP Revista de lepidopterología. 5(3). 3481–3482. 3 indexed citations

Liu, Fang, Pandi Wang, Xiaohong Yan, et al.. (2018). Overexpression of BraLTP2, a Lipid Transfer Protein of Brassica napus, Results in Increased Trichome Density and Altered Concentration of Secondary Metabolites. International Journal of Molecular Sciences. 19(6). 1733–1733. 24 indexed citations

Zeng, Xinhua, Xiaohong Yan, Keqi Li, et al.. (2017). Identification and Analysis of MS5d: A Gene That Affects Double-Strand Break (DSB) Repair during Meiosis I in Brassica napus Microsporocytes. Frontiers in Plant Science. 7. 1966–1966. 10 indexed citations

Zhang, Xiao-Fei, Shupei Qiao, Jing Liu, et al.. (2017). MiR-17-5p and miR-20a promote chicken cell proliferation at least in part by upregulation of c-Myc via MAP3K2 targeting. Scientific Reports. 7(1). 15852–15852. 15 indexed citations

Liu, Fang, Pandi Wang, Xiaobo Zhang, et al.. (2017). The genetic and molecular basis of crop height based on a rice model. Planta. 247(1). 1–26. 113 indexed citations

Ye, Zi‐Piao, et al.. (2016). Photosynthetic characteristics of different plant species based on a mechanistic model of light-response of photosynthesis. 35(9). 2552. 1 indexed citations

10.

Yan, Xiaohong, Xinhua Zeng, Shasha Wang, et al.. (2016). Aberrant Meiotic Prophase I Leads to Genic Male Sterility in the Novel TE5A Mutant of Brassica napus. Scientific Reports. 6(1). 33955–33955. 11 indexed citations

11.

Luo, Junling, Shaohua Tang, Xiaojue Peng, et al.. (2015). Elucidation of Cross-Talk and Specificity of Early Response Mechanisms to Salt and PEG-Simulated Drought Stresses in Brassica napus Using Comparative Proteomic Analysis. PLoS ONE. 10(10). e0138974–e0138974. 40 indexed citations

12.

Liu, Fang, Yuping Xia, Donghui Fu, et al.. (2014). Enhanced seed oil content by overexpressing genes related to triacylglyceride synthesis. Gene. 557(2). 163–171. 52 indexed citations

13.

Wang, Ning, Xichen Wang, Mingxin Shi, et al.. (2013). LMO4 modulates proliferation and differentiation of 3T3‐L1 preadipocytes. FEBS Letters. 587(18). 3032–3037. 13 indexed citations

14.

Yan, Xiaohong. (2012). Research on rattan form and anatomy characteristics of Calamus simplicifolius. Anhui Nongye Daxue xuebao.

15.

Yan, Xiaohong, Lei Zhang, Bo Chen, et al.. (2012). Functional Identification and Characterization of the Brassica Napus Transcription Factor Gene BnAP2, the Ortholog of Arabidopsis Thaliana APETALA2. PLoS ONE. 7(3). e33890–e33890. 24 indexed citations

16.

Dong, Caihua, Chen Li, Xiaohong Yan, et al.. (2011). Gene expression profiling of Sinapis alba leaves under drought stress and rewatering growth conditions with Illumina deep sequencing. Molecular Biology Reports. 39(5). 5851–5857. 15 indexed citations

17.

Sha, Aihua, Chen Li, Xiaohong Yan, et al.. (2011). Large-scale sequencing of normalized full-length cDNA library of soybean seed at different developmental stages and analysis of the gene expression profiles based on ESTs. Molecular Biology Reports. 39(3). 2867–2874. 8 indexed citations

18.

Li, Chen, Bin Huang, Xiaohong Yan, et al.. (2010). Cloning, Identification and Characterization of a Repetitive Sequence Flanking Telomere and Homologous to canrep in Brassica napus. Botanical studies. 51(4). 421–430. 3 indexed citations

19.

Huang, Jinyong, et al.. (2010). Analysis of the differential expression of the genes related to Brassica napus seed development. Molecular Biology Reports. 38(2). 1055–1061. 14 indexed citations

20.

Wei, Wenhui, Yunchang Li, Lijun Wang, et al.. (2009). Development of a novel Sinapis arvensis disomic addition line in Brassica napus containing the restorer gene for Nsa CMS and improved resistance to Sclerotinia sclerotiorum and pod shattering. Theoretical and Applied Genetics. 120(6). 1089–1097. 34 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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