Wen Chu

915 total citations
18 papers, 400 citations indexed

About

Wen Chu is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Wen Chu has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Plant Science and 2 papers in Epidemiology. Recurrent topics in Wen Chu's work include Photosynthetic Processes and Mechanisms (5 papers), Plant Gene Expression Analysis (4 papers) and CRISPR and Genetic Engineering (4 papers). Wen Chu is often cited by papers focused on Photosynthetic Processes and Mechanisms (5 papers), Plant Gene Expression Analysis (4 papers) and CRISPR and Genetic Engineering (4 papers). Wen Chu collaborates with scholars based in China, United States and South Korea. Wen Chu's co-authors include Chao Li, Qiong Hu, Baohong Zhang, Desheng Mei, Hongtao Cheng, Mengyu Hao, Shifei Sang, Qamar U. Zaman, Yuqin Shi and Wenxiang Wang and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and Journal of Alloys and Compounds.

In The Last Decade

Wen Chu

16 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Chu China 11 285 228 41 33 28 18 400
Susana Sánchez‐León Spain 9 510 1.8× 520 2.3× 50 1.2× 66 2.0× 13 0.5× 15 786
Penny Hundleby United Kingdom 11 368 1.3× 229 1.0× 4 0.1× 49 1.5× 7 0.3× 20 455
Julie Green United States 7 463 1.6× 451 2.0× 20 0.5× 96 2.9× 10 0.4× 9 650
Joel Hague United States 10 302 1.1× 275 1.2× 10 0.2× 33 1.0× 39 1.4× 17 384
Thorsten Langner United Kingdom 11 353 1.2× 573 2.5× 8 0.2× 16 0.5× 4 0.1× 22 705
Xiaokun Liu China 10 229 0.8× 383 1.7× 12 0.3× 21 0.6× 13 0.5× 17 557
Ayesha Latif Pakistan 12 182 0.6× 251 1.1× 11 0.3× 11 0.3× 9 0.3× 31 336
Jorrit‐Jan Krijger Germany 9 239 0.8× 169 0.7× 30 0.7× 31 0.9× 5 0.2× 11 377
James F. H. Wong United States 8 375 1.3× 192 0.8× 20 0.5× 82 2.5× 13 0.5× 13 539
Elena A. Rice United States 8 198 0.7× 201 0.9× 4 0.1× 33 1.0× 22 0.8× 9 392

Countries citing papers authored by Wen Chu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Chu. A scholar is included among the top collaborators of Wen Chu 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 Wen Chu. Wen Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Wenxiang, Wen Chu, Hui Wang, et al.. (2025). Uncovering a stable QTL qSRI.A06 and candidate gene for rapeseed pod shatter resistance. Molecular Breeding. 45(9). 70–70.
2.
Zhang, Lei, Wen Chu, Haiying Qin, et al.. (2024). Nano high-entropy oxide cathode with enhanced stability for direct borohydride fuel cells. Journal of Energy Chemistry. 100. 309–316. 5 indexed citations
4.
Zhang, Lei, Wen Chu, Yeqiang Bu, et al.. (2024). Carbon-supported high-entropy alloys as highly stable nanocatalysts for oxygen reduction reaction. Journal of Alloys and Compounds. 1010. 178194–178194. 4 indexed citations
5.
Li, Chao, Wen Chu, Rafaqat A. Gill, et al.. (2022). Computational Tools and Resources for CRISPR/Cas Genome Editing. Genomics Proteomics & Bioinformatics. 21(1). 108–126. 76 indexed citations
6.
Wen, Yunfei, Ali Raza, Wen Chu, et al.. (2021). Comprehensive In Silico Characterization and Expression Profiling of TCP Gene Family in Rapeseed. Frontiers in Genetics. 12. 794297–794297. 20 indexed citations
7.
Zaman, Qamar U., Wen Chu, Yuqin Shi, et al.. (2021). Characterization of SHATTERPROOF Homoeologs and CRISPR-Cas9-Mediated Genome Editing Enhances Pod-Shattering Resistance in Brassica napus L.. The CRISPR Journal. 4(3). 360–370. 27 indexed citations
8.
Li, Chao, Shifei Sang, Jin Yang, et al.. (2021). Direct modification of multiple gene homoeologs in Brassica oleracea and Brassica napus using doubled haploid inducer‐mediated genome‐editing system. Plant Biotechnology Journal. 19(10). 1889–1891. 23 indexed citations
9.
Chu, Wen, Jia Liu, Hongtao Cheng, et al.. (2021). A lignified-layer bridge controlled by a single recessive gene is associated with high pod-shatter resistance in Brassica napus L.. The Crop Journal. 10(3). 638–646. 17 indexed citations
10.
Wang, Wenxiang, Wen Chu, Desheng Mei, et al.. (2019). Quantitative trait loci mapping for branch angle and candidate gene screening in Brassica napus L.. ACTA AGRONOMICA SINICA. 45(1). 37–37. 5 indexed citations
11.
Zaman, Qamar U., Wen Chu, Mengyu Hao, et al.. (2019). CRISPR/Cas9-Mediated Multiplex Genome Editing of JAGGED Gene in Brassica napus L.. Biomolecules. 9(11). 725–725. 42 indexed citations
12.
Li, Chao, Mengyu Hao, Wenxiang Wang, et al.. (2018). An Efficient CRISPR/Cas9 Platform for Rapidly Generating Simultaneous Mutagenesis of Multiple Gene Homoeologs in Allotetraploid Oilseed Rape. Frontiers in Plant Science. 9. 442–442. 56 indexed citations
13.
Cheng, Hongtao, Mengyu Hao, Wenxiang Wang, et al.. (2017). Integrative RNA- and miRNA-Profile Analysis Reveals a Likely Role of BR and Auxin Signaling in Branch Angle Regulation of B. napus. International Journal of Molecular Sciences. 18(5). 887–887. 29 indexed citations
14.
Chu, Wen, Qi Zhong, Jiadong Zhang, et al.. (2016). Sequence and phylogenetic analysis of chicken reoviruses in China. Journal of Integrative Agriculture. 15(8). 1846–1855. 5 indexed citations
15.
Yang, Chun, Xiao Lu, Hongmei Sun, Wen Chu, & Chunyi Li. (2016). Analysis of Genomewide DNA Methylation Reveals Differences in DNA Methylation Levels between Dormant and Naturally as well as Artificially Potentiated Pedicle Periosteum of Sika Deer (Cervus nippon). Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 326(6). 375–383. 5 indexed citations
16.
Wei, Yandi, Guanlong Xu, Guozhong Zhang, et al.. (2015). Antigenic evolution of H9N2 chicken influenza viruses isolated in China during 2009–2013 and selection of a candidate vaccine strain with broad cross-reactivity. Veterinary Microbiology. 182. 1–7. 40 indexed citations
17.
Chu, Wen, et al.. (2015). Research advance on Esteya vermicola, a high potential biocontrol agent of pine wilt disease. Mycological Progress. 14(12). 18 indexed citations
18.
Qiao, Jiangwei, Jun Li, Wen Chu, & Meizhong Luo. (2013). PRDA1, a Novel Chloroplast Nucleoid Protein, is Required for Early Chloroplast Development and is Involved in the Regulation of Plastid Gene Expression in Arabidopsis. Plant and Cell Physiology. 54(12). 2071–2084. 28 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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