Xiaopeng Wen

61 total papers · 1.3k total citations
41 papers, 913 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 913 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 21 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Xiaopeng Wen's work include Polyamine Metabolism and Applications (7 papers), Plant Stress Responses and Tolerance (7 papers) and Plant tissue culture and regeneration (6 papers). Xiaopeng Wen is often cited by papers focused on Polyamine Metabolism and Applications (7 papers), Plant Stress Responses and Tolerance (7 papers) and Plant tissue culture and regeneration (6 papers). Xiaopeng Wen collaborates with scholars based in China, Japan and United States. Xiaopeng Wen's co-authors include Xiuxin Deng, Takaya Moriguchi, Qiang Xu, Guang Qiao, Narumi Matsuda, Hiromichi Inoue, 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 872 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaopeng Wen 688 470 115 86 80 41 913
Yang Xiao 586 0.9× 322 0.7× 93 0.8× 70 0.8× 80 1.0× 56 858
Gengrui Zhu 722 1.0× 503 1.1× 66 0.6× 62 0.7× 118 1.5× 33 912
Primetta Faccioli 863 1.3× 416 0.9× 128 1.1× 75 0.9× 160 2.0× 43 1.1k
Alan Chambers 530 0.8× 449 1.0× 130 1.1× 69 0.8× 75 0.9× 47 879
N. Muraleedharan 521 0.8× 289 0.6× 104 0.9× 143 1.7× 84 1.1× 61 894
Michèle Zaccai 697 1.0× 538 1.1× 77 0.7× 69 0.8× 44 0.6× 51 1.1k
Eirini Sarrou 630 0.9× 377 0.8× 129 1.1× 71 0.8× 163 2.0× 58 906
Basilio Carrasco 659 1.0× 349 0.7× 132 1.1× 77 0.9× 81 1.0× 69 955
Yingying Zhang 914 1.3× 460 1.0× 60 0.5× 37 0.4× 94 1.2× 54 1.2k
Yul-Ho Kim 815 1.2× 441 0.9× 86 0.7× 64 0.7× 95 1.2× 67 1.1k

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

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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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