Shaojiang Chen

5.1k total citations
89 papers, 2.7k citations indexed

About

Shaojiang Chen is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Shaojiang Chen has authored 89 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Plant Science, 41 papers in Genetics and 30 papers in Molecular Biology. Recurrent topics in Shaojiang Chen's work include Genetic Mapping and Diversity in Plants and Animals (39 papers), Genetics and Plant Breeding (28 papers) and Chromosomal and Genetic Variations (25 papers). Shaojiang Chen is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (39 papers), Genetics and Plant Breeding (28 papers) and Chromosomal and Genetic Variations (25 papers). Shaojiang Chen collaborates with scholars based in China, Germany and United States. Shaojiang Chen's co-authors include Xiaowei Xu, Albrecht E. Melchinger, Weiwei Jin, Chenxu Liu, Xiaolong Tian, Liang Li, Jiaojiao Ren, Penghao Wu, Yu Zhong and Xin Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Shaojiang Chen

84 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaojiang Chen China 30 2.3k 1.2k 888 206 152 89 2.7k
Xiyang Zhao China 23 1.1k 0.5× 912 0.8× 697 0.8× 199 1.0× 117 0.8× 106 2.3k
David Pot France 30 1.1k 0.5× 591 0.5× 450 0.5× 223 1.1× 100 0.7× 67 2.1k
Freddy Mora Chile 28 1.8k 0.8× 476 0.4× 609 0.7× 227 1.1× 69 0.5× 154 2.4k
Márcio F. R. Resende United States 27 2.1k 0.9× 784 0.6× 1.5k 1.7× 256 1.2× 126 0.8× 89 3.4k
Patricio Muńoz United States 29 1.8k 0.8× 428 0.4× 1.3k 1.5× 237 1.2× 164 1.1× 115 2.9k
Xiangyang Kang China 24 1.6k 0.7× 1.1k 0.9× 170 0.2× 320 1.6× 117 0.8× 120 1.9k
Mengzhu Lu China 32 2.6k 1.1× 2.5k 2.1× 174 0.2× 200 1.0× 122 0.8× 164 3.6k
Samuel P. Hazen United States 30 2.5k 1.1× 1.7k 1.4× 400 0.5× 216 1.0× 164 1.1× 47 3.1k
Josquin Tibbits Australia 21 1.1k 0.5× 431 0.4× 487 0.5× 150 0.7× 158 1.0× 52 1.6k
Sara Jawdy United States 25 1.2k 0.5× 887 0.7× 129 0.1× 138 0.7× 98 0.6× 62 1.8k

Countries citing papers authored by Shaojiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaojiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojiang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojiang Chen. A scholar is included among the top collaborators of Shaojiang Chen 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 Shaojiang Chen. Shaojiang Chen 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.
Zhang, Na, Xiaolong Qi, Lei Wu, et al.. (2025). Accelerating wheat breeding by haploid induction. The Crop Journal. 13(5). 1363–1371.
2.
Chen, Chen, Yuling Zhang, Chenxu Liu, et al.. (2024). Vitamin and zeatin treatments promote colchicine-induced haploid chromosome doubling in maize. The Crop Journal. 12(6). 1677–1685. 1 indexed citations
3.
Cheng, Dehe, Chen Chen, Yuwen Wang, et al.. (2023). Genome-wide association and genomic prediction for resistance to southern corn rust in DH and testcross populations. Frontiers in Plant Science. 14. 1109116–1109116. 7 indexed citations
4.
Zhong, Yu, Bin Feng, Xiaolong Qi, et al.. (2023). The RUBY reporter enables efficient haploid identification in maize and tomato. Plant Biotechnology Journal. 21(8). 1707–1715. 44 indexed citations
5.
Liu, Zongkai, Yu Zhong, Xiaolong Qi, et al.. (2023). Haploids can be induced in knockout mutants of OsPLA1, but not OsDMP3 or OsDMP6, in rice. The Crop Journal. 12(1). 213–221. 8 indexed citations
6.
Sun, Wentao, Xiaojin Zhou, Chen Chen, et al.. (2022). Maize Interveinal Chlorosis 1 links the Yang Cycle and Fe homeostasis through Nicotianamine biosynthesis. PLANT PHYSIOLOGY. 188(4). 2131–2145. 4 indexed citations
7.
Qi, Xiaolong, Dong Wang, Yu Zhong, et al.. (2022). ZmCOI2a and ZmCOI2b redundantly regulate anther dehiscence and gametophytic male fertility in maize. The Plant Journal. 110(3). 849–862. 32 indexed citations
8.
Chen, Chen, Xiaoqing Liu, Chenxu Liu, et al.. (2022). Co‐expression of transcription factors ZmC1 and ZmR2 establishes an efficient and accurate haploid embryo identification system in maize. The Plant Journal. 111(5). 1296–1307. 22 indexed citations
9.
Guo, Jingfei, Kanglai He, Yujie Meng, et al.. (2022). Asian corn borer damage is affected by rind penetration strength of corn stalks in a spatiotemporally dependent manner. Plant Direct. 6(2). e381–e381. 12 indexed citations
10.
Qi, Xiaolong, Li Li, Zongkai Liu, et al.. (2022). High-throughput haploid induction in species with bisexual flowers. Plant Communications. 4(1). 100454–100454. 4 indexed citations
11.
Chen, Chen, Zijian Xiao, Junwen Zhang, et al.. (2020). Development of In Vivo Haploid Inducer Lines for Screening Haploid Immature Embryos in Maize. Plants. 9(6). 739–739. 6 indexed citations
12.
Zhong, Yu, Baojian Chen, Mengran Li, et al.. (2020). A DMP-triggered in vivo maternal haploid induction system in the dicotyledonous Arabidopsis. Nature Plants. 6(5). 466–472. 98 indexed citations
13.
Zhang, Junxiong, et al.. (2013). Embryo feature extraction and dynamic recognition method for maize haploid seeds.. Nongye gongcheng xuebao. 29(4). 199–203. 6 indexed citations
14.
Chen, Shaojiang. (2013). Study on the Doubling Effect Using Colchicine in Maize Haploid. Seed. 1 indexed citations
15.
Chen, Shaojiang. (2012). Observation of twin seedling in maternal haploid induction in maize. Zhongguo Nongye Daxue xuebao. 3 indexed citations
16.
Li, Liang, Haochuan Li, Baldev S. Dhillon, et al.. (2011). Estimation of quantitative genetic and stability parameters in maize under high and low N levels.. Maydica. 56(2). 131–140. 7 indexed citations
17.
Chen, Shaojiang, et al.. (2009). Xenia performance of partner-hybrids between normal hybrid and high oil hybrid in maize (Zea mays L.).. Zhongguo Nongye Daxue xuebao. 14(2). 39–46. 1 indexed citations
18.
Chen, Shaojiang. (2005). COMPARISON OF NUTRIENT CONTENTS AND IN VITRO DIGESTIBILITY OF CORN STALKS OF DIFFERET CORN VARIETY TYPE AND DURING DIFFERET MATURITY STAGE OF KERNELS. 3 indexed citations
19.
Chen, Shaojiang. (2004). High Oil Corn and Its Application in Animal Diets. Zhongguo xumu zazhi. 1 indexed citations
20.
Zhao, Jian, Shaojiang Chen, & Samson Agboola. (2004). Characterisation of milk-clotting properties of Australian cardoon (Cynara cardunculus L) extracts and comparison with commercial coagulants on different substrates. Milk science international/Milchwissenschaft. 59(2). 59–63. 5 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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