Shijun Fu

1.2k total citations
33 papers, 688 citations indexed

About

Shijun Fu is a scholar working on Molecular Biology, Animal Science and Zoology and Immunology. According to data from OpenAlex, Shijun Fu has authored 33 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Animal Science and Zoology and 6 papers in Immunology. Recurrent topics in Shijun Fu's work include Protein Hydrolysis and Bioactive Peptides (6 papers), Animal Nutrition and Physiology (5 papers) and Phytase and its Applications (4 papers). Shijun Fu is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (6 papers), Animal Nutrition and Physiology (5 papers) and Phytase and its Applications (4 papers). Shijun Fu collaborates with scholars based in China, United States and Switzerland. Shijun Fu's co-authors include Lichun Qian, Jian-Yi Sun, Zhiqiang Shen, Sanyang Gao, Na Zhang, Songlin Zhang, Guanggang Qu, Lin Ma, Zhiyu Li and Yongfeng Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shijun Fu

31 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijun Fu China 14 350 145 103 93 85 33 688
Ju-Chien Cheng Taiwan 16 349 1.0× 97 0.7× 56 0.5× 47 0.5× 51 0.6× 23 747
Isabel Fernandes Portugal 14 274 0.8× 91 0.6× 182 1.8× 84 0.9× 111 1.3× 55 839
Tingting Yu China 17 481 1.4× 242 1.7× 56 0.5× 33 0.4× 128 1.5× 72 856
Ye Chen China 14 682 1.9× 241 1.7× 187 1.8× 42 0.5× 106 1.2× 48 964
Daniel Mihálik Slovakia 13 397 1.1× 289 2.0× 79 0.8× 36 0.4× 113 1.3× 61 1.2k
Guorong Yan China 16 219 0.6× 98 0.7× 77 0.7× 46 0.5× 118 1.4× 63 721
Jeffery R. Cook United States 16 182 0.5× 91 0.6× 38 0.4× 57 0.6× 97 1.1× 31 884
Xinyang Li China 16 377 1.1× 131 0.9× 43 0.4× 47 0.5× 188 2.2× 60 701
Yukihiro Kobayashi Japan 18 268 0.8× 36 0.2× 83 0.8× 31 0.3× 57 0.7× 54 919
Youngji Kim Japan 15 220 0.6× 37 0.3× 59 0.6× 86 0.9× 31 0.4× 59 710

Countries citing papers authored by Shijun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shijun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shijun Fu. A scholar is included among the top collaborators of Shijun Fu 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 Shijun Fu. Shijun Fu 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.
Fu, Shijun, Peng Hu, Xiaoyu Zhu, et al.. (2025). CNP-MoS2@HA nanocomposite promotes neurovascular recovery through sustained release and cell cycle navigation in neurogenic erectile dysfunction. Chemical Engineering Journal. 523. 168486–168486.
2.
Shen, Yi, Sichen Li, Liu Liu, et al.. (2025). PcUGT203E1 and PcUGT203B2 are involved in abamectin susceptibility in Panonychus citri. Pesticide Biochemistry and Physiology. 215. 106627–106627. 1 indexed citations
3.
4.
5.
Liu, Yanjie, et al.. (2024). Dietary novel alkaline protease from Bacillus licheniformis improves broiler meat nutritional value and modulates intestinal microbiota and metabolites. SHILAP Revista de lepidopterología. 6(1). 1–1. 6 indexed citations
6.
Fu, Shijun, et al.. (2023). Modeling and TOPSIS-GRA Algorithm for Autonomous Driving Decision-Making Under 5G-V2X Infrastructure. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 1051–1071. 4 indexed citations
7.
Dong, Bin, Yanjun Lin, Jun Wang, et al.. (2022). Antibacterial activity of antimicrobial peptide gcDefb1 against foodborne pathogenic bacteria and its application in pork storage. Food Science and Biotechnology. 31(5). 597–605. 11 indexed citations
8.
Dong, Bin, Yanjun Lin, Chunlong Sun, et al.. (2022). Recombinant human β-defensin130 inhibited the growth of foodborne bacteria through membrane disruption and exerted anti-inflammatory activity. Food Science and Biotechnology. 31(7). 893–904. 2 indexed citations
9.
Lü, Shun, Yongfeng Yu, Shijun Fu, & Hongye Ren. (2018). Cost-effectiveness of ALK testing and first-line crizotinib therapy for non-small-cell lung cancer in China. PLoS ONE. 13(10). e0205827–e0205827. 26 indexed citations
10.
Zhang, Qing, Chunyan Wu, Wei Ding, et al.. (2018). Prevalence of ROS1 fusion in Chinese patients with non‐small cell lung cancer. Thoracic Cancer. 10(1). 47–53. 34 indexed citations
11.
Lü, Na, Bin Zhang, Likun Cheng, et al.. (2017). Gene modification of Escherichia coli and incorporation of process control to decrease acetate accumulation and increase ʟ-tryptophan production. Annals of Microbiology. 67(8). 567–576. 6 indexed citations
12.
Yu, Huiqian, Qin Lin, Yingzi He, et al.. (2013). Inhibition of H3K9 methyltransferases G9a/GLP prevents ototoxicity and ongoing hair cell death. Cell Death and Disease. 4(2). e506–e506. 46 indexed citations
13.
Ji, Junfang, Lei Yu, Zhipeng Yu, et al.. (2013). Development of a miR-26 Companion Diagnostic Test for Adjuvant Interferon-alpha Therapy in Hepatocellular Carcinoma. International Journal of Biological Sciences. 9(3). 303–312. 22 indexed citations
14.
Dou, Ruoxu, Yanhong Deng, Lan Huang, et al.. (2013). Multi-microarray identifies lower AQP9 expression in adjuvant chemotherapy nonresponders with stage III colorectal cancer. Cancer Letters. 336(1). 106–113. 17 indexed citations
15.
Heng, Xin, Gang Jin, Dehua Yang, et al.. (2012). Nurr1 regulates Top IIβ and functions in axon genesis of mesencephalic dopaminergic neurons. Molecular Neurodegeneration. 7(1). 4–4. 35 indexed citations
16.
Fu, Shijun, Qi Fei, Hua Jiang, et al.. (2011). Involvement of Histone Acetylation of Sox17 and Foxa2 Promoters during Mouse Definitive Endoderm Differentiation Revealed by MicroRNA Profiling. PLoS ONE. 6(11). e27965–e27965. 21 indexed citations
17.
Fang, Hai, Ying Yang, Chunliang Li, et al.. (2010). Transcriptome Analysis of Early Organogenesis in Human Embryos. Developmental Cell. 19(1). 174–184. 58 indexed citations
18.
Fu, Shijun, Guanggang Qu, Lin Ma, et al.. (2010). Applications of Loop-Mediated Isothermal DNA Amplification. Applied Biochemistry and Biotechnology. 163(7). 845–850. 148 indexed citations
19.
Fu, Shijun, Jiantao Shi, Arhat Abzhanov, et al.. (2008). Peripheral arterial occlusive disease: Global gene expression analyses suggest a major role for immune and inflammatory responses. BMC Genomics. 9(1). 369–369. 58 indexed citations
20.
Fu, Shijun, Jian-Yi Sun, Lichun Qian, & Zhiyu Li. (2008). Bacillus Phytases: Present Scenario and Future Perspectives. Applied Biochemistry and Biotechnology. 151(1). 1–8. 68 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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