Junyi Liu

1.2k total citations
65 papers, 875 citations indexed

About

Junyi Liu is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Junyi Liu has authored 65 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Junyi Liu's work include Parkinson's Disease Mechanisms and Treatments (6 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Junyi Liu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (6 papers). Junyi Liu collaborates with scholars based in China, United States and Germany. Junyi Liu's co-authors include Bin Xu, Dongsheng Yu, Gang Chen, Ronald J. Koenig, Liang Sheng, Xianling Ning, Yan Jin, Yunqiao Li, Ridong Li and Lei Deng and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Junyi Liu

60 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyi Liu China 17 476 191 80 77 68 65 875
Meriç A. Altinoz Türkiye 21 532 1.1× 217 1.1× 48 0.6× 110 1.4× 28 0.4× 89 1.2k
Ming‐Wei Lin Taiwan 24 734 1.5× 161 0.8× 51 0.6× 115 1.5× 54 0.8× 70 1.4k
Xiaoling Luo China 15 411 0.9× 142 0.7× 51 0.6× 57 0.7× 62 0.9× 43 925
Zhong‐Ming Qian China 18 317 0.7× 127 0.7× 83 1.0× 64 0.8× 39 0.6× 34 847
Gamze Ates Belgium 17 439 0.9× 204 1.1× 69 0.9× 48 0.6× 54 0.8× 33 927
Chuanhong Wu China 18 478 1.0× 150 0.8× 104 1.3× 74 1.0× 93 1.4× 37 995
Won‐Ki Kim South Korea 16 445 0.9× 85 0.4× 123 1.5× 73 0.9× 45 0.7× 43 1.0k
Tiantian Guo China 18 687 1.4× 190 1.0× 151 1.9× 68 0.9× 73 1.1× 74 1.5k
Jian-Xing Xu China 11 719 1.5× 119 0.6× 36 0.5× 52 0.7× 104 1.5× 19 1.1k
Zhi‐Bin Yu China 10 656 1.4× 126 0.7× 48 0.6× 139 1.8× 41 0.6× 17 1.2k

Countries citing papers authored by Junyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Junyi Liu. A scholar is included among the top collaborators of Junyi Liu 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 Junyi Liu. Junyi Liu 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.
Li, Qingchao, Qiang Li, Jingjuan Wu, et al.. (2025). Wellhead Stability During Development Process of Hydrate Reservoir in the Northern South China Sea: Sensitivity Analysis. Processes. 13(6). 1630–1630. 7 indexed citations
2.
Zhou, Xin, Bin Lü, Aiping Zhang, et al.. (2025). The alternations of gut microbiota in diabetic kidney disease: insights from a triple comparative cohort. Frontiers in Cellular and Infection Microbiology. 15. 1606700–1606700. 1 indexed citations
3.
4.
Liu, Junyi, Shida Chen, & Xijie Yu. (2025). Unraveling the Role of N6-Methylation Modification: From Bone Biology to Osteoporosis. International Journal of Medical Sciences. 22(11). 2545–2559. 3 indexed citations
5.
Li, Haimei, et al.. (2024). Recent Progress in Implantable Drug Delivery Systems. Advanced Materials. 36(23). e2312530–e2312530. 23 indexed citations
6.
Liu, Junyi, Jiarui Zhang, Xiaoyu Cheng, et al.. (2024). Microglial Melatonin Receptor 1 Degrades Pathological Alpha‐Synuclein Through Activating LC3‐Associated Phagocytosis In Vitro. CNS Neuroscience & Therapeutics. 30(10). e70088–e70088. 4 indexed citations
7.
Hou, Xiao‐Ou, Zhigui Ma, Yang Li, et al.. (2024). α-Synuclein disrupts microglial autophagy through STAT1-dependent suppression of Ulk1 transcription. Journal of Neuroinflammation. 21(1). 275–275. 4 indexed citations
8.
Geng, Xiaofei, Jordahna Haig, Chongguo Tian, et al.. (2023). Provenance of Aerosol Black Carbon over Northeast Indian Ocean and South China Sea and Implications for Oceanic Black Carbon Cycling. Environmental Science & Technology. 57(35). 13067–13078. 12 indexed citations
9.
Wang, Xiaobo, et al.. (2023). Role of α-synuclein in microglia: autophagy and phagocytosis balance neuroinflammation in Parkinson’s disease. Inflammation Research. 72(3). 443–462. 60 indexed citations
10.
Deng, Lei, et al.. (2022). MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. BMC Bioinformatics. 23(S3). 427–427. 13 indexed citations
11.
Inoshita, Tsuyoshi, Junyi Liu, Daisuke Taniguchi, et al.. (2022). Parkinson disease-associated Leucine-rich repeat kinase regulates UNC-104-dependent axonal transport of Arl8-positive vesicles in Drosophila. iScience. 25(12). 105476–105476. 8 indexed citations
12.
Liu, Yanjun, Peixu Cong, Tao Zhang, et al.. (2021). Plasmalogen attenuates the development of hepatic steatosis and cognitive deficit through mechanism involving p75NTR inhibition. Redox Biology. 43. 102002–102002. 21 indexed citations
13.
Liu, Junyi, et al.. (2021). PMDFI: Predicting miRNA–Disease Associations Based on High-Order Feature Interaction. Frontiers in Genetics. 12. 656107–656107. 12 indexed citations
14.
Hao, Yameng, et al.. (2018). Study on Dual Inhibitors of HIV‐1 IN/CCR5 Caffeoyl Derivatives as Neuroprotective Agents. ChemistrySelect. 3(22). 6170–6173. 1 indexed citations
15.
Gu, Huiying, Gang Zhao, Hongjun Peng, et al.. (2018). IVIG Delays Onset in a Mouse Model of Gerstmann-Sträussler-Scheinker Disease. Molecular Neurobiology. 56(4). 2353–2361. 7 indexed citations
16.
Tian, Chao, Yuan‐Xin Li, Meng Wang, et al.. (2018). Synthesis and biological evaluation of 2,6-disubstituted-9H-purine, 2,4-disubstitued-thieno[3,2-d]pyrimidine and -7H-pyrrolo[2,3-d]pyrimidine analogues as novel CHK1 inhibitors. European Journal of Medicinal Chemistry. 151. 836–848. 17 indexed citations
17.
Ning, Xianling, Hailong Qi, Ridong Li, et al.. (2017). Discovery of novel naphthoquinone derivatives as inhibitors of the tumor cell specific M2 isoform of pyruvate kinase. European Journal of Medicinal Chemistry. 138. 343–352. 87 indexed citations
18.
19.
Chen, Gang, Dongsheng Yu, Junyi Liu, et al.. (2016). LncRNA SRA promotes hepatic steatosis through repressing the expression of adipose triglyceride lipase (ATGL). Scientific Reports. 6(1). 35531–35531. 95 indexed citations
20.
Zhang, Zhili, Chao Tian, Wei Wang, et al.. (2012). Mechanism-based design, synthesis and biological studies of N5-substituted tetrahydrofolate analogs as inhibitors of cobalamin-dependent methionine synthase and potential anticancer agents. European Journal of Medicinal Chemistry. 58. 228–236. 22 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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