Xiaopeng Wen

1.4k total citations
41 papers, 923 citations indexed

About

Xiaopeng Wen is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Xiaopeng Wen has authored 41 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 21 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Xiaopeng Wen's work include Plant Stress Responses and Tolerance (7 papers), Polyamine Metabolism and Applications (7 papers) and Plant tissue culture and regeneration (6 papers). Xiaopeng Wen is often cited by papers focused on Plant Stress Responses and Tolerance (7 papers), Polyamine Metabolism and Applications (7 papers) and Plant tissue culture and regeneration (6 papers). Xiaopeng Wen collaborates with scholars based in China, Japan and Russia. Xiaopeng Wen's co-authors include Xiuxin Deng, Takaya Moriguchi, Qiang Xu, Guang Qiao, Hiromichi Inoue, Narumi Matsuda, Xiaoming Pang, Yusuke Ban, X. X. Deng and Masayuki Kita and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Gene.

In The Last Decade

Xiaopeng Wen

39 papers receiving 882 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 20 696 476 116 87 81 41 923
Supriya Ambawat India 9 906 1.3× 575 1.2× 63 0.5× 53 0.6× 129 1.6× 24 1.1k
Yong Weon Seo South Korea 23 1.3k 1.9× 721 1.5× 83 0.7× 57 0.7× 123 1.5× 124 1.6k
Gyu‐Taek Cho South Korea 16 677 1.0× 255 0.5× 92 0.8× 99 1.1× 296 3.7× 64 874
N. Muraleedharan India 17 524 0.8× 290 0.6× 105 0.9× 144 1.7× 85 1.0× 61 900
Tariq Pervaiz China 18 984 1.4× 618 1.3× 132 1.1× 63 0.7× 30 0.4× 49 1.2k
Nancy T. Eannetta United States 12 827 1.2× 554 1.2× 97 0.8× 69 0.8× 139 1.7× 13 1.1k
A. Pedryc Hungary 15 717 1.0× 391 0.8× 73 0.6× 208 2.4× 107 1.3× 67 863
Wenfeng Weng China 10 681 1.0× 302 0.6× 118 1.0× 50 0.6× 33 0.4× 20 882
Chonghuai Liu China 20 1.1k 1.6× 675 1.4× 302 2.6× 66 0.8× 99 1.2× 67 1.4k
Weichao Fang China 20 1.0k 1.5× 721 1.5× 88 0.8× 88 1.0× 126 1.6× 58 1.3k

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
1.
Dai, Xuyang, Jing Yang, Changjian Wang, et al.. (2025). Bioactive components and mechanisms of the traditional Chinese herbal formula Xuefu Zhuyu formula in the treatment of cardiovascular and cerebrovascular diseases. Journal of Ethnopharmacology. 348. 119873–119873. 2 indexed citations
2.
Ma, Zhong, et al.. (2025). A faster and lighter weight robotic ready model YOLO Punica for detecting pomegranate fruit development. Scientific Reports. 15(1). 39274–39274.
3.
Yang, Xuanwen, Ying Su, Siyang Huang, et al.. (2024). Comparative population genomics reveals convergent and divergent selection in the apricot–peach–plum–mei complex. Horticulture Research. 11(6). uhae109–uhae109. 4 indexed citations
4.
Wen, Xiaopeng, et al.. (2024). How Does Digital Integration Influence the Mental Health of Low-Income Populations?. Healthcare. 12(24). 2593–2593. 1 indexed citations
5.
6.
Du, Qian, Kui Zhou, Changying Li, et al.. (2023). Cytological observations in abortion formation and morphological character of pollen in seedless chestnut rose (Rosa sterilis). Flora. 307. 152379–152379. 5 indexed citations
7.
Tian, Tian, Guang Qiao, Zhuang Wen, et al.. (2020). Comparative transcriptome analysis reveals the molecular regulation underlying the adaptive mechanism of cherry (Cerasus pseudocerasus Lindl.) to shelter covering. BMC Plant Biology. 20(1). 27–27. 28 indexed citations
8.
Xu, Juan, et al.. (2020). Comparative Transcriptome Analysis Combining SMRT- and Illumina-Based RNA-Seq Identifies Potential Candidate Genes Involved in Betalain Biosynthesis in Pitaya Fruit. International Journal of Molecular Sciences. 21(9). 3288–3288. 31 indexed citations
9.
10.
Qiao, Guang, et al.. (2018). Transcriptional activation of long terminal repeat retrotransposon sequences in the genome of pitaya under abiotic stress. Plant Physiology and Biochemistry. 135. 460–468. 23 indexed citations
11.
Qiao, Guang, Xiaopeng Wen, & Ting Zhang. (2015). Molecular Cloning and Characterization of the Light-Harvesting Chlorophyll a/b Gene from the Pigeon pea (Cajanus cajan). Applied Biochemistry and Biotechnology. 177(7). 1447–1455. 5 indexed citations
12.
Tao, Jing, Guang Qiao, Xiaopeng Wen, et al.. (2014). Characterization of genetic relationship of dragon fruit accessions (Hylocereus spp.) by morphological traits and ISSR markers. Scientia Horticulturae. 170. 82–88. 21 indexed citations
13.
14.
Qiao, Guang, et al.. (2013). Efficient regeneration of dragon fruit (Hylocereus undatus) and an assessment of the genetic fidelity ofin vitro-derived plants using ISSR markers. The Journal of Horticultural Science and Biotechnology. 88(5). 631–637. 18 indexed citations
15.
Wen, Xiaopeng, Yusuke Ban, Hiromichi Inoue, Narumi Matsuda, & Takaya Moriguchi. (2009). Spermidine levels are implicated in heavy metal tolerance in a spermidine synthase overexpressing transgenic European pear by exerting antioxidant activities. Transgenic Research. 19(1). 91–103. 58 indexed citations
16.
Wen, Xiaopeng, Xiaoming Pang, Narumi Matsuda, et al.. (2007). Over-expression of the apple spermidine synthase gene in pear confers multiple abiotic stress tolerance by altering polyamine titers. Transgenic Research. 17(2). 251–263. 123 indexed citations
17.
Wen, Xiaopeng, Qiang Xu, Qi Cao, & Xiuxin Deng. (2006). Promising genetic resources for resistance to powdery mildew in chestnut rose (Rosa roxburghii) and its relatives in China. New Zealand Journal of Crop and Horticultural Science. 34(2). 183–188. 4 indexed citations
18.
Wen, Xiaopeng & X. X. Deng. (2005). Micropropagation of chestnut rose (Rosa roxburghiiTratt) and assessment of genetic stability inin vitroplants using RAPD and AFLP markers. The Journal of Horticultural Science and Biotechnology. 80(1). 54–60. 13 indexed citations
19.
20.
Xu, Qiang, Xiaopeng Wen, & Xiuxin Deng. (2004). A simple protocol for isolating genomic DNA from chestnut rose (Rosa roxburghii tratt) for RFLP and PCR analyses. Plant Molecular Biology Reporter. 22(3). 301–302. 45 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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