Shijie Wen

1.3k total citations
9 papers, 357 citations indexed

About

Shijie Wen is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Shijie Wen has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 4 papers in Inorganic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Shijie Wen's work include Peanut Plant Research Studies (8 papers), Coconut Research and Applications (4 papers) and Plant Virus Research Studies (4 papers). Shijie Wen is often cited by papers focused on Peanut Plant Research Studies (8 papers), Coconut Research and Applications (4 papers) and Plant Virus Research Studies (4 papers). Shijie Wen collaborates with scholars based in China, India and United States. Shijie Wen's co-authors include Xuanqiang Liang, Yanbin Hong, Shaoxiong Li, Guiyuan Zhou, Haiyan Liu, Haifen Li, Hao Liu, Qing Lu, Xiaoping Chen and C. Corley Holbrook and has published in prestigious journals such as Frontiers in Plant Science, Plant Molecular Biology and BMC Genomics.

In The Last Decade

Shijie Wen

9 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shijie Wen China	8	317	132	104	31	21	9	357
Suoyi Han China	13	453 1.4×	213 1.6×	105 1.0×	22 0.7×	19 0.9×	36	518
Jentilal R. Dobaria India	11	339 1.1×	139 1.1×	90 0.9×	11 0.4×	4 0.2×	13	353
S. K. Bera India	11	415 1.3×	79 0.6×	137 1.3×	41 1.3×	7 0.3×	54	430
Sundaravelpandian Kalaipandian Australia	11	410 1.3×	227 1.7×	31 0.3×	17 0.5×	9 0.4×	26	467
Yoshie Kishida Japan	8	268 0.8×	162 1.2×	34 0.3×	77 2.5×	12 0.6×	8	356
Radhakrishnan Thankappan India	11	346 1.1×	146 1.1×	78 0.8×	11 0.4×	4 0.2×	13	365
Jiongming Sui China	12	293 0.9×	177 1.3×	29 0.3×	32 1.0×	7 0.3×	26	330
Yaduru Shasidhar India	11	639 2.0×	160 1.2×	240 2.3×	97 3.1×	18 0.9×	16	674
Yong‐qiang Charles An United States	14	554 1.7×	183 1.4×	29 0.3×	43 1.4×	110 5.2×	18	616
Michael R. Baring United States	14	528 1.7×	129 1.0×	283 2.7×	20 0.6×	6 0.3×	34	549

Countries citing papers authored by Shijie Wen

Since Specialization

Citations

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

Fields of papers citing papers by Shijie Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijie Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Shijie Wen. A scholar is included among the top collaborators of Shijie 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 Shijie Wen. Shijie 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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9 of 9 papers shown

Lu, Qing, Yanbin Hong, Shaoxiong Li, et al.. (2019). Genome-wide identification of microsatellite markers from cultivated peanut (Arachis hypogaea L.). BMC Genomics. 20(1). 799–799. 22 indexed citations

Wen, Shijie, Hao Liu, Xingyu Li, et al.. (2018). TALEN-mediated targeted mutagenesis of fatty acid desaturase 2 (FAD2) in peanut (Arachis hypogaea L.) promotes the accumulation of oleic acid. Plant Molecular Biology. 97(1-2). 177–185. 56 indexed citations

Lu, Qing, Haifen Li, Yanbin Hong, et al.. (2018). Genome Sequencing and Analysis of the Peanut B-Genome Progenitor (Arachis ipaensis). Frontiers in Plant Science. 9. 604–604. 36 indexed citations

Lu, Qing, Hao Liu, Yanbin Hong, et al.. (2018). Consensus map integration and QTL meta-analysis narrowed a locus for yield traits to 0.7 cM and refined a region for late leaf spot resistance traits to 0.38 cM on linkage group A05 in peanut (Arachis hypogaea L.). BMC Genomics. 19(1). 887–887. 27 indexed citations

Wen, Shijie, Haiyan Liu, Xiaoping Chen, et al.. (2013). Overexpression of ARAhPR10, a Member of the PR10 Family, Decreases Levels of <i>Aspergillus flavus</i> Infection in Peanut Seeds. American Journal of Plant Sciences. 4(3). 602–607. 12 indexed citations

Zhu, Wei, Sarwar Azam, Heying Li, et al.. (2012). Deep sequencing analysis of the transcriptomes of peanut aerial and subterranean young pods identifies candidate genes related to early embryo abortion. Plant Biotechnology Journal. 11(1). 115–127. 74 indexed citations

Chen, Xiaoping, Fanghe Zhu, Yanbin Hong, et al.. (2011). Analysis of Gene Expression Profiles in Pod and Leaf of Two Major Peanut Cultivars in Southern China. ACTA AGRONOMICA SINICA. 37(8). 1378–1388. 3 indexed citations

Hong, Yanbin, Xiaoping Chen, Xuanqiang Liang, et al.. (2010). A SSR-based composite genetic linkage map for the cultivated peanut (Arachis hypogaea L.) genome. BMC Plant Biology. 10(1). 17–17. 102 indexed citations

Hong, Yanbin, Xuanqiang Liang, Xiaoping Chen, et al.. (2008). Construction of Genetic Linkage Map Based on SSR Markers in Peanut (Arachis hypogaea L.). Agricultural Sciences in China. 7(8). 915–921. 25 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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