Xiaopeng Wen

837 total citations
45 papers, 603 citations indexed

About

Xiaopeng Wen is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Xiaopeng Wen has authored 45 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 20 papers in Molecular Biology and 8 papers in Food Science. Recurrent topics in Xiaopeng Wen's work include Plant Molecular Biology Research (15 papers), Plant Stress Responses and Tolerance (8 papers) and Plant nutrient uptake and metabolism (7 papers). Xiaopeng Wen is often cited by papers focused on Plant Molecular Biology Research (15 papers), Plant Stress Responses and Tolerance (8 papers) and Plant nutrient uptake and metabolism (7 papers). Xiaopeng Wen collaborates with scholars based in China, Finland and Australia. Xiaopeng Wen's co-authors include Guijie Ding, Guang Qiao, Kun Yang, Zhuang Wen, Qiandong Hou, Ting Zhang, Gaurav Sablok, Lifei Yu, Meiyan Shi and Juan Xu and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Xiaopeng Wen

42 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaopeng Wen China 15 416 238 120 47 38 45 603
Leandro Vieira Astarita Brazil 15 558 1.3× 302 1.3× 101 0.8× 43 0.9× 24 0.6× 34 720
Gilles Costantino France 14 588 1.4× 338 1.4× 107 0.9× 43 0.9× 57 1.5× 27 742
Rébecca Dauwe France 15 366 0.9× 467 2.0× 127 1.1× 25 0.5× 58 1.5× 20 776
Yee‐Shan Ku Hong Kong 14 821 2.0× 396 1.7× 41 0.3× 44 0.9× 47 1.2× 35 1.1k
Abdullah Alaklabi Saudi Arabia 11 364 0.9× 147 0.6× 57 0.5× 37 0.8× 36 0.9× 38 555
Eduardo Espítia-Rangel Mexico 12 294 0.7× 190 0.8× 223 1.9× 19 0.4× 40 1.1× 56 587
Zhimin Li China 9 392 0.9× 202 0.8× 79 0.7× 52 1.1× 25 0.7× 23 590
Marjo Keskitalo Finland 12 279 0.7× 153 0.6× 261 2.2× 51 1.1× 58 1.5× 35 584
Bhagwat Nawade India 14 347 0.8× 202 0.8× 59 0.5× 36 0.8× 45 1.2× 36 515
Elsayed Nishawy Egypt 13 656 1.6× 434 1.8× 61 0.5× 32 0.7× 64 1.7× 28 919

Countries citing papers authored by Xiaopeng Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Wen. A scholar is included among the top collaborators of Xiaopeng Wen 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 Xiaopeng Wen. Xiaopeng Wen 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
2.
Liu, Kebin, et al.. (2024). Genome-wide analysis of C2H2 zinc finger family and their response to abiotic stresses in apple. Gene. 904. 148164–148164. 10 indexed citations
3.
Hou, Qiandong, et al.. (2023). Physiological, Proteomic, and Resin Yield-Related Genes Expression Analysis Provides Insights into the Mechanisms Regulating Resin Yield in Masson Pine. International Journal of Molecular Sciences. 24(18). 13813–13813. 1 indexed citations
4.
Song, Shipeng, Li He, Wen‐Zhao Xie, et al.. (2023). Molecular cytogenetic map visualizes the heterozygotic genome and identifies translocation chromosomes in Citrus sinensis. Journal of genetics and genomics. 50(6). 410–421. 8 indexed citations
5.
Song, Shipeng, et al.. (2023). Oligonucleotide Fluorescence In Situ Hybridization: An Efficient Chromosome Painting Method in Plants. Plants. 12(15). 2816–2816. 6 indexed citations
6.
Wen, Zhuang, Qiandong Hou, Yi Hong, et al.. (2023). Expression profiling and function analysis highlight the positive involvement of sweet cherry PavTCP17 in regulating flower bud dormancy. Scientia Horticulturae. 318. 112138–112138. 5 indexed citations
7.
Hou, Qiandong, et al.. (2023). Functional analysis of sweet cherry PavbHLH106 in the regulation of cold stress. Plant Cell Reports. 43(1). 7–7. 11 indexed citations
8.
Hou, Qiandong, Yi Hong, Zhuang Wen, et al.. (2023). Molecular characterization of the SAUR gene family in sweet cherry and functional analysis of PavSAUR55 in the process of abscission. Journal of Integrative Agriculture. 22(6). 1720–1739. 14 indexed citations
9.
Hou, Qiandong, et al.. (2022). Identification of Genes and Metabolic Pathways Involved in Resin Yield in Masson Pine by Integrative Analysis of Transcriptome, Proteome and Biochemical Characteristics. International Journal of Molecular Sciences. 23(19). 11420–11420. 10 indexed citations
10.
Zhao, Hong, et al.. (2022). Cross−Talk between Transcriptome Analysis and Physiological Characterization Identifies the Genes in Response to the Low Phosphorus Stress in Malus mandshurica. International Journal of Molecular Sciences. 23(9). 4896–4896. 8 indexed citations
11.
Sablok, Gaurav, Kun Yang, & Xiaopeng Wen. (2019). Protocols for miRNA Target Prediction in Plants. Methods in molecular biology. 1970. 65–73. 5 indexed citations
12.
Yang, Kun, Xiaopeng Wen, Suresh B. Mudunuri, G. P. Saradhi Varma, & Gaurav Sablok. (2019). Diff isomiRs: Large-scale detection of differential isomiRs for understanding non-coding regulated stress omics in plants. Scientific Reports. 9(1). 1406–1406. 11 indexed citations
13.
Mei, Lina, et al.. (2017). Development of SSR molecular markers based on transcriptome sequences and germplasm identification in masson pine (Pinus massoniana).. Journal of Pharmaceutical and Biomedical Sciences. 25(6). 991–1002. 2 indexed citations
14.
Sablok, Gaurav, Kun Yang, Rui Chen, & Xiaopeng Wen. (2017). tRNA Derived smallRNAs: smallRNAs Repertoire Has Yet to Be Decoded in Plants. Frontiers in Plant Science. 8. 1167–1167. 7 indexed citations
15.
Yang, Kun, et al.. (2017). isomiR2Function: An Integrated Workflow for Identifying MicroRNA Variants in Plants. Frontiers in Plant Science. 8. 322–322. 22 indexed citations
16.
Yang, Kun, Xiaopeng Wen, & Gaurav Sablok. (2017). Method for the Large-Scale Identification of phasiRNAs in Brachypodium distachyon. Methods in molecular biology. 1667. 187–194. 4 indexed citations
17.
Zhang, Ting, Guijie Ding, & Xiaopeng Wen. (2016). Cloning and Expression Pattern Analysis of Ectomycorrhizal Purple Acid Phosphatase Gene in Pinus massoniana Lamb. 29(6). 806. 2 indexed citations
19.
Cui, Bowen, et al.. (2014). The Temporal Transcriptomic Response of Pinus massoniana Seedlings to Phosphorus Deficiency. PLoS ONE. 9(8). e105068–e105068. 30 indexed citations
20.
Hecht, M. H., et al.. (1999). The Mars Environmental Compatibility Assessment (MECA) Wet Chemistry Experiment on the Mars 2001 Lander. 41.

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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