Dijun Chen

7.1k total citations · 1 hit paper
134 papers, 3.8k citations indexed

About

Dijun Chen is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Plant Science. According to data from OpenAlex, Dijun Chen has authored 134 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 45 papers in Atomic and Molecular Physics, and Optics and 45 papers in Plant Science. Recurrent topics in Dijun Chen's work include Advanced Fiber Laser Technologies (35 papers), Plant Molecular Biology Research (21 papers) and Photonic and Optical Devices (18 papers). Dijun Chen is often cited by papers focused on Advanced Fiber Laser Technologies (35 papers), Plant Molecular Biology Research (21 papers) and Photonic and Optical Devices (18 papers). Dijun Chen collaborates with scholars based in China, Germany and Australia. Dijun Chen's co-authors include Ming Chen, Christian Klukas, Kerstin Kaufmann, Wenhao Yan, Jean-Michel Pape, Haiwen Cai, Kerstin Neumann, Yijun Meng, Zifeng Guo and Thorsten Schnurbusch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Dijun Chen

118 papers receiving 3.6k citations

Hit Papers

Lipid-accumulated reactive astrocytes promote disease pro... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Lipid-accumulated reactive astrocytes promote disease progression in epilepsy
    2023 96 citations Wen Fang, Dijun Chen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dijun Chen China 36 2.3k 1.4k 506 469 443 134 3.8k
Sachihiro Matsunaga Japan 42 3.3k 1.4× 3.8k 2.8× 101 0.2× 576 1.2× 108 0.2× 219 5.8k
Jerry Jenkins United States 30 1.9k 0.8× 1.6k 1.2× 111 0.2× 770 1.6× 82 0.2× 76 3.4k
Tamio Saito Japan 25 1.7k 0.7× 1.7k 1.2× 135 0.3× 601 1.3× 398 0.9× 102 3.6k
Kazuo Yamaguchi Japan 32 679 0.3× 1.9k 1.4× 101 0.2× 844 1.8× 143 0.3× 250 3.9k
Yasuomi Tada Japan 42 5.8k 2.5× 3.0k 2.2× 89 0.2× 88 0.2× 409 0.9× 150 7.7k
Michael A. Welte United States 28 611 0.3× 3.1k 2.3× 105 0.2× 230 0.5× 36 0.1× 48 5.1k
Peter Shaw United Kingdom 55 4.8k 2.1× 6.3k 4.6× 125 0.2× 535 1.1× 27 0.1× 161 8.5k
Dorothee Staiger Germany 43 4.2k 1.8× 4.1k 3.0× 40 0.1× 139 0.3× 85 0.2× 121 6.1k
Chang Liu China 42 5.2k 2.3× 4.7k 3.4× 31 0.1× 460 1.0× 186 0.4× 162 7.1k
Takamasa Suzuki Japan 41 4.7k 2.0× 3.2k 2.3× 37 0.1× 300 0.6× 108 0.2× 210 6.0k

Countries citing papers authored by Dijun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dijun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dijun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Dijun Chen. A scholar is included among the top collaborators of Dijun 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 Dijun Chen. Dijun 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.
Chen, Wei, Tao Zhu, Xin Wang, et al.. (2025). The histone acetyltransferase GCN5 regulates floral meristem activity and flower development in Arabidopsis. The Plant Cell. 37(6). 2 indexed citations
2.
Ngan, H.W., Tao Zhu, Wenqiang Li, et al.. (2025). Genetic effects on chromatin accessibility reveal the molecular mechanisms of complex traits in maize. The Plant Journal. 123(4). e70437–e70437.
3.
Chao, Haoyu, et al.. (2024). iSeq: an integrated tool to fetch public sequencing data. Bioinformatics. 40(11).
4.
Yang, Xuezong, et al.. (2024). GHz-level repetition rate synchronously pumped diamond Raman laser based on bidirectional gain. Applied Physics Letters. 125(4). 1 indexed citations
5.
Chen, Wei, Jingyi Wang, Zijing Wang, et al.. (2024). Capture of regulatory factors via CRISPR–dCas9 for mechanistic analysis of fine-tuned SERRATE expression in Arabidopsis. Nature Plants. 10(1). 86–99. 7 indexed citations
6.
Zhang, Lihua, Chao He, Yuting Lai, et al.. (2023). Asymmetric gene expression and cell-type-specific regulatory networks in the root of bread wheat revealed by single-cell multiomics analysis. Genome biology. 24(1). 65–65. 53 indexed citations
7.
8.
Liu, Gui‐Bin, et al.. (2023). An Investigation of All Fiber Free-Running Dual-Comb Spectroscopy. Sensors. 23(3). 1103–1103. 2 indexed citations
9.
Chen, Wei, Tao Zhu, Yining Shi, et al.. (2023). An antisense intragenic lncRNA SEAIRa mediates transcriptional and epigenetic repression of SERRATE in Arabidopsis. Proceedings of the National Academy of Sciences. 120(10). e2216062120–e2216062120. 11 indexed citations
10.
Zhu, Tao, et al.. (2023). cisDynet: An integrated platform for modeling gene‐regulatory dynamics and networks. SHILAP Revista de lepidopterología. 2(4). e152–e152. 10 indexed citations
11.
12.
Qu, Jiao, Fa Yang, Tao Zhu, et al.. (2022). A reference single-cell regulomic and transcriptomic map of cynomolgus monkeys. Nature Communications. 13(1). 4069–4069. 33 indexed citations
13.
Fu, Liang-Yu, Tao Zhu, Zhaohui He, et al.. (2022). ChIP-Hub provides an integrative platform for exploring plant regulome. Nature Communications. 13(1). 3413–3413. 44 indexed citations
14.
Feng, Yan, et al.. (2022). Laser Performance of Nd-Doped Fiber Laser at 1120 nm. IEEE photonics journal. 14(4). 1–4. 1 indexed citations
15.
Zhu, Tao, et al.. (2022). Systematic annotation of conservation states provides insights into regulatory regions in rice. Journal of genetics and genomics. 49(12). 1127–1137. 6 indexed citations
16.
He, Chao, Hao Liu, Dijun Chen, et al.. (2021). CRISPR‐Cereal: a guide RNA design tool integrating regulome and genomic variation for wheat, maize and rice. Plant Biotechnology Journal. 19(11). 2141–2143. 16 indexed citations
17.
18.
Chen, Dijun, Rongli Shi, Jean-Michel Pape, et al.. (2018). Predicting plant biomass accumulation from image-derived parameters. GigaScience. 7(2). 62 indexed citations
19.
Chen, Dijun, Wenhao Yan, Liang-Yu Fu, & Kerstin Kaufmann. (2018). Architecture of gene regulatory networks controlling flower development in Arabidopsis thaliana. Nature Communications. 9(1). 4534–4534. 135 indexed citations
20.
Smaczniak, Cezary, José M. Muiño, Dijun Chen, Gerco C. Angenent, & Kerstin Kaufmann. (2017). Differences in DNA Binding Specificity of Floral Homeotic Protein Complexes Predict Organ-Specific Target Genes. The Plant Cell. 29(8). 1822–1835. 48 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sachihiro Matsunaga Breakdown of academic impact, for papers by Jerry Jenkins Breakdown of academic impact, for papers by Tamio Saito Breakdown of academic impact, for papers by Kazuo Yamaguchi Breakdown of academic impact, for papers by Yasuomi Tada Breakdown of academic impact, for papers by Michael A. Welte Breakdown of academic impact, for papers by Peter Shaw Breakdown of academic impact, for papers by Dorothee Staiger Breakdown of academic impact, for papers by Chang Liu Breakdown of academic impact, for papers by Takamasa Suzuki
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