Jun Ying

1.5k total citations
47 papers, 1.1k citations indexed

About

Jun Ying is a scholar working on Molecular Biology, Molecular Medicine and Ecology. According to data from OpenAlex, Jun Ying has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Molecular Medicine and 8 papers in Ecology. Recurrent topics in Jun Ying's work include Antibiotic Resistance in Bacteria (11 papers), Bacteriophages and microbial interactions (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Jun Ying is often cited by papers focused on Antibiotic Resistance in Bacteria (11 papers), Bacteriophages and microbial interactions (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Jun Ying collaborates with scholars based in China, United States and Bulgaria. Jun Ying's co-authors include Fuzhou Hua, Xifeng Wang, Lieliang Zhang, Wen Yu, Danying Yang, Fang Yang, Qingcui Zheng, Shoulin Chen, Peizhen Li and Gen Wei and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Jun Ying

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ying China 20 461 149 147 118 111 47 1.1k
Nikos Sakellaridis Greece 25 624 1.4× 137 0.9× 240 1.6× 138 1.2× 211 1.9× 72 1.8k
Jichao Yuan China 16 295 0.6× 73 0.5× 191 1.3× 110 0.9× 78 0.7× 35 925
Xueyuan Hu China 19 324 0.7× 59 0.4× 29 0.2× 23 0.2× 98 0.9× 37 1.0k
Ewa Kucharska Poland 14 315 0.7× 213 1.4× 125 0.9× 21 0.2× 49 0.4× 56 1.0k
Nana Li China 16 312 0.7× 70 0.5× 126 0.9× 11 0.1× 115 1.0× 52 906
Wenwen Dong China 17 485 1.1× 121 0.8× 101 0.7× 41 0.3× 27 0.2× 48 1.1k
Yiwei Qian China 18 754 1.6× 324 2.2× 347 2.4× 15 0.1× 32 0.3× 30 1.5k
Ramin Khanabdali Australia 12 488 1.1× 210 1.4× 258 1.8× 19 0.2× 34 0.3× 16 1.4k

Countries citing papers authored by Jun Ying

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ying. A scholar is included among the top collaborators of Jun Ying 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 Jun Ying. Jun Ying 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.
Song, Jiali, Fang Yang, Xiuqin Rao, et al.. (2024). Beyond conventional treatment: ASGR1 Leading the new era of hypercholesterolemia management. Biomedicine & Pharmacotherapy. 180. 117488–117488. 3 indexed citations
2.
Zhang, Chenxi, Xiuqin Rao, Wei Wan, et al.. (2024). The interaction of lipocalin-2 and astrocytes in neuroinflammation: mechanisms and therapeutic application. Frontiers in Immunology. 15. 1358719–1358719. 12 indexed citations
3.
Zhang, Guangyong, et al.. (2024). C/EBPβ: A transcription factor associated with the irreversible progression of Alzheimer's disease. CNS Neuroscience & Therapeutics. 30(4). e14721–e14721. 11 indexed citations
4.
Ying, Jun, et al.. (2024). Mitochondrial modulation treating postoperative cognitive dysfunction neuroprotection via DRP1 inhibition by Mdivi1. Scientific Reports. 14(1). 26155–26155. 4 indexed citations
5.
Ying, Jun, et al.. (2023). Gut Metabolites Acting on the Gut-Brain Axis: Regulating the Functional State of Microglia. Aging and Disease. 15(2). 480–480. 22 indexed citations
6.
Huang, Qiang, Jun Ying, Wen Yu, et al.. (2023). P2X7 Receptor: an Emerging Target in Alzheimer’s Disease. Molecular Neurobiology. 61(5). 2866–2880. 11 indexed citations
7.
Hua, Fuzhou, Fang Pu, Chang Li, et al.. (2022). Regulation of Mitophagy by Sirtuin Family Proteins: A Vital Role in Aging and Age-Related Diseases. Frontiers in Aging Neuroscience. 14. 845330–845330. 49 indexed citations
8.
Rao, Xiuqin, Fuzhou Hua, Lieliang Zhang, et al.. (2022). Dual roles of interleukin-33 in cognitive function by regulating central nervous system inflammation. Journal of Translational Medicine. 20(1). 369–369. 37 indexed citations
9.
Yang, Danying, Xifeng Wang, Lieliang Zhang, et al.. (2022). Lipid metabolism and storage in neuroglia: role in brain development and neurodegenerative diseases. Cell & Bioscience. 12(1). 106–106. 90 indexed citations
10.
Ying, Jun, Danying Yang, Fang Pu, et al.. (2021). The Mechanisms of Sevoflurane-Induced Neuroinflammation. Frontiers in Aging Neuroscience. 13. 717745–717745. 35 indexed citations
11.
Zhang, Lieliang, Fan Xiao, Jing Zhang, et al.. (2021). Dexmedetomidine Mitigated NLRP3-Mediated Neuroinflammation via the Ubiquitin-Autophagy Pathway to Improve Perioperative Neurocognitive Disorder in Mice. Frontiers in Pharmacology. 12. 646265–646265. 38 indexed citations
12.
Liu, Xing, Jun Ying, Xifeng Wang, et al.. (2021). Astrocytes in Neural Circuits: Key Factors in Synaptic Regulation and Potential Targets for Neurodevelopmental Disorders. Frontiers in Molecular Neuroscience. 14. 729273–729273. 37 indexed citations
13.
Cheng, Cong, Wangxiao Zhou, Xu Dong, et al.. (2021). Genomic Analysis of Delftia tsuruhatensis Strain TR1180 Isolated From A Patient From China With In4-Like Integron-Associated Antimicrobial Resistance. Frontiers in Cellular and Infection Microbiology. 11. 663933–663933. 12 indexed citations
14.
Yang, Fang, Xifeng Wang, Danying Yang, et al.. (2021). Relieving Cellular Energy Stress in Aging, Neurodegenerative, and Metabolic Diseases, SIRT1 as a Therapeutic and Promising Node. Frontiers in Aging Neuroscience. 13. 738686–738686. 38 indexed citations
15.
Wang, Jianwen, Teng Xu, Jun Ying, et al.. (2019). <p>PAU-1, a Novel Plasmid-Encoded Ambler Class A β-Lactamase Identified in a Clinical <em>Pseudomonas aeruginosa</em> Isolate</p>. Infection and Drug Resistance. Volume 12. 3827–3834. 5 indexed citations
16.
Yin, Min, Changrui Qian, Fei Wu, et al.. (2018). Molecular characteristics and comparative genomics analysis of a clinical <em>Enterococcus casseliflavus</em> with a resistance plasmid. Infection and Drug Resistance. Volume 11. 2159–2167. 6 indexed citations
17.
Zhou, Menglin, et al.. (2017). Effects of pre-pregnancy body mass index and gestational weight gain on neonatal birth weight. Journal of Zhejiang University SCIENCE B. 18(3). 263–271. 25 indexed citations
18.
Li, Peizhen, Jun Ying, Guangjian Yang, et al.. (2016). Structure-Function Analysis of the Transmembrane Protein AmpG from Pseudomonas aeruginosa. PLoS ONE. 11(12). e0168060–e0168060. 12 indexed citations
19.
Xu, Teng, Jun Ying, Yulong Song, et al.. (2012). Identification and Characterization of Two Novel blaKLUC Resistance Genes through Large-Scale Resistance Plasmids Sequencing. PLoS ONE. 7(10). e47197–e47197. 5 indexed citations
20.
Li, Peizhen, Biaobang Chen, Zhijian Song, et al.. (2012). Bioinformatic analysis of the Acinetobacter baumannii phage AB1 genome. Gene. 507(2). 125–134. 38 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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