Dijun Zhang

462 total citations
28 papers, 386 citations indexed

About

Dijun Zhang is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Dijun Zhang has authored 28 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Epidemiology. Recurrent topics in Dijun Zhang's work include Gut microbiota and health (9 papers), Diet and metabolism studies (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Dijun Zhang is often cited by papers focused on Gut microbiota and health (9 papers), Diet and metabolism studies (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Dijun Zhang collaborates with scholars based in China, United States and United Kingdom. Dijun Zhang's co-authors include Xiurong Su, Jun Zhou, Chenyang Lu, Ye Li, Jiaojiao Han, Tingting Sun, Yanyan Li, Ling‐Zhi Cheong, Hongyan Zhang and Qianqian Tong and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Applied Microbiology and Biotechnology.

In The Last Decade

Dijun Zhang

27 papers receiving 383 citations

Peers

Dijun Zhang

PHYSI

Chenxing Fu China

Shanlong Tang China

M. Valdivié Cuba

Qiufen Mo China

Elena Shumilina Norway

Estefanía Sánchez-Rodríguez Spain

Enfa Yan China

Amir Hossein Alizadeh‐Ghamsari Iran

Kyohei Furukawa Japan

Chenxing Fu China

Dijun Zhang

271 ×1.4

87 ×1.0

PHYSI

71 ×1.0

30 ×0.7

15 ×0.4

Citations per year, relative to Dijun Zhang Dijun Zhang (= 1×) peers Chenxing Fu

Countries citing papers authored by Dijun Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Dijun Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dijun Zhang

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

All Works

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20 of 20 papers shown

Zhang, Dijun, et al.. (2022). Developing a multiplex PCR ‐based assay kit for bloodstream infection by analyzing genomic big data. Journal of Clinical Laboratory Analysis. 36(10). e24686–e24686. 4 indexed citations

Zhang, Jinghao, Feng Yang, Zhaoyang Sun, et al.. (2022). Rapid and precise identification of bloodstream infections using a pre-treatment protocol combined with high-throughput multiplex genetic detection system. BMC Infectious Diseases. 22(1). 823–823. 9 indexed citations

Zhao, Mengchuan, Guixia Li, Jingfu Li, et al.. (2022). Simultaneous detection of 9 respiratory pathogens using a newly developed multiplex real-time PCR panel based on an automatic molecular detection and analysis system. Diagnostic Microbiology and Infectious Disease. 104(4). 115801–115801. 3 indexed citations

Zhao, Mengchuan, Yi Xu, Dijun Zhang, et al.. (2022). Establishment and evaluation of a quadruple quantitative real-time PCR assay for simultaneous detection of human coronavirus subtypes. Virology Journal. 19(1). 67–67. 1 indexed citations

Wang, Su, Dijun Zhang, Haowei Zhu, et al.. (2021). A New Multiplex Genetic Detection Assay Method for the Rapid Semi-Quantitative Detection of Six Common Curable Sexually Transmitted Pathogens From the Genital Tract. Frontiers in Cellular and Infection Microbiology. 11. 704037–704037. 7 indexed citations

Ming, Tinghong, Feng Ying, Chenyang Lu, et al.. (2019). iTRAQ-Based Quantitative Proteomic Profiling of Staphylococcus aureus Under Different Osmotic Stress Conditions. Frontiers in Microbiology. 10. 1082–1082. 22 indexed citations

Zhang, Dijun, Jiaojiao Han, Yanyan Li, et al.. (2018). Tuna Oil Alleviates d-Galactose Induced Aging in Mice Accompanied by Modulating Gut Microbiota and Brain Protein Expression. Journal of Agricultural and Food Chemistry. 66(22). 5510–5520. 26 indexed citations

Zhang, Hongyan, Zhaoyang Wang, Yanyan Li, et al.. (2018). Sex-Based Differences in Gut Microbiota Composition in Response to Tuna Oil and Algae Oil Supplementation in a D-galactose-Induced Aging Mouse Model. Frontiers in Aging Neuroscience. 10. 187–187. 26 indexed citations

Dong, Lisha, Yanyan Li, Dijun Zhang, et al.. (2017). Dietary Apostichopus japonicus Alleviates Diabetes Symptoms and Modulates Genes Expression in Kidney Tissues of db/db Mice. Journal of Agricultural and Food Chemistry. 66(1). 154–162. 11 indexed citations

10.

Li, Yanyan, Hang Gao, Hongyan Zhang, et al.. (2017). Modulation of the gut microbiota by the mixture of fish oil and krill oil in high-fat diet-induced obesity mice. PLoS ONE. 12(10). e0186216–e0186216. 62 indexed citations

11.

Lu, Chenyang, Tingting Sun, Yanyan Li, et al.. (2017). Microbial diversity and composition in different gut locations of hyperlipidemic mice receiving krill oil. Applied Microbiology and Biotechnology. 102(1). 355–366. 13 indexed citations

12.

Zhang, Dijun, et al.. (2017). A metabonomic analysis on the response of Enterobacter cloacae from coastal outfall for land-based pollutant under phoxim stress. Archives of Microbiology. 199(8). 1165–1173. 4 indexed citations

13.

Lu, Chenyang, Tingting Sun, Yanyan Li, et al.. (2017). Modulation of the Gut Microbiota by Krill Oil in Mice Fed a High-Sugar High-Fat Diet. Frontiers in Microbiology. 8. 905–905. 45 indexed citations

14.

Lu, Chenyang, Jun Zhou, Yanyan Li, et al.. (2017). Structural modulation of gut microbiota in Bama minipigs in response to treatment with a “growth-promoting agent”, salbutamol. Applied Microbiology and Biotechnology. 101(14). 5809–5818. 6 indexed citations

15.

Zhou, Jun, et al.. (2017). NMR-based metabolomics reveals the metabolite profiles of Vibrio parahaemolyticus under ferric iron stimulation. The Journal of Microbiology. 55(8). 628–634. 6 indexed citations

16.

Zhang, Chundan, Zhonghua Wang, Dijun Zhang, et al.. (2017). Proteomics and 1H NMR-based metabolomics analysis of pathogenic Vibrio vulnificus aquacultures isolated from sewage drains. Environmental Science and Pollution Research. 24(30). 23704–23713. 3 indexed citations

17.

Xu, Jiajie, Zhonghua Wang, Dijun Zhang, et al.. (2016). A Comparison of Molecular Biology Mechanism of Shewanella putrefaciens between Fresh and Terrestrial Sewage Wastewater. Frontiers in Bioengineering and Biotechnology. 4. 86–86. 5 indexed citations

18.

Zhang, Dijun, et al.. (2016). Multi-omics analysis on the pathogenicity of Enterobacter cloacae ENHKU01 isolated from sewage outfalls along the Ningbo coastline. Proteome Science. 14(1). 15–15. 9 indexed citations

19.

Zhang, Dijun, et al.. (2015). Characterization and comparison of proteomes of albino sea cucumber Apostichopus japonicus (Selenka) by iTRAQ analysis. Fish & Shellfish Immunology. 51. 229–239. 16 indexed citations

20.

Zhang, Dijun, et al.. (2014). Composition and structure of microbial communities associated with different domestic sewage outfalls. Genetics and Molecular Research. 13(3). 7542–7552. 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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