Chenmeng Song

463 total citations
20 papers, 351 citations indexed

About

Chenmeng Song is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Sensory Systems. According to data from OpenAlex, Chenmeng Song has authored 20 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 6 papers in Sensory Systems. Recurrent topics in Chenmeng Song's work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Enzyme-mediated dye degradation (3 papers) and Tea Polyphenols and Effects (3 papers). Chenmeng Song is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (6 papers), Enzyme-mediated dye degradation (3 papers) and Tea Polyphenols and Effects (3 papers). Chenmeng Song collaborates with scholars based in China, United States and Hong Kong. Chenmeng Song's co-authors include Zheng-Bing Guan, Yujie Cai, Hong Zhao, Wen Zhou, Xiangru Liao, Jie Li, Wei Xiong, Ning Zhang, Le Cheng and Jiaofeng Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and eLife.

In The Last Decade

Chenmeng Song

19 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenmeng Song China 10 152 115 99 55 39 20 351
Joy E. Wilkinson United Kingdom 6 308 2.0× 39 0.3× 219 2.2× 86 1.6× 17 0.4× 6 569
Tomoo Homma Japan 10 64 0.4× 31 0.3× 155 1.6× 39 0.7× 81 2.1× 39 522
Rahisa Scussel Brazil 11 83 0.5× 20 0.2× 66 0.7× 21 0.4× 96 2.5× 39 417
Seok H. Lee South Korea 10 59 0.4× 21 0.2× 321 3.2× 21 0.4× 57 1.5× 15 549
Siwei Chen United States 9 75 0.5× 58 0.5× 154 1.6× 3 0.1× 7 0.2× 20 331
Soniya Dhanjal Sweden 12 78 0.5× 9 0.1× 324 3.3× 35 0.6× 19 0.5× 21 771
Atsushi Yamatsu Japan 11 125 0.8× 21 0.2× 180 1.8× 8 0.1× 79 2.0× 17 418
Fangjun Lin China 16 129 0.8× 14 0.1× 159 1.6× 11 0.2× 95 2.4× 31 866
Yunpeng Zhang China 14 78 0.5× 11 0.1× 117 1.2× 4 0.1× 20 0.5× 33 613
Károly Antal Hungary 14 98 0.6× 13 0.1× 254 2.6× 7 0.1× 26 0.7× 59 641

Countries citing papers authored by Chenmeng Song

Since Specialization
Citations

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

Fields of papers citing papers by Chenmeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenmeng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chenmeng Song. A scholar is included among the top collaborators of Chenmeng Song 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 Chenmeng Song. Chenmeng Song 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, Chenmeng, et al.. (2025). Systems metabolic insights into kaempferol-mediated alleviation of alcoholic fatty liver disease. Frontiers in Endocrinology. 16. 1610613–1610613. 1 indexed citations
2.
Song, Chenmeng, et al.. (2025). Illuminating diabetes via multi-omics: Unraveling disease mechanisms and advancing personalized therapy. World Journal of Diabetes. 16(7). 106218–106218.
3.
Song, Chenmeng, et al.. (2024). Protective Effects of Food-Derived Kaempferol on Pancreatic β-Cells in Type 1 Diabetes Mellitus. Foods. 13(23). 3797–3797. 4 indexed citations
4.
Zou, Linzhi, Kuan Li, Hanqing Hou, et al.. (2022). Template-independent genome editing in the Pcdh15 mouse, a model of human DFNB23 nonsyndromic deafness. Cell Reports. 40(2). 111061–111061. 21 indexed citations
5.
Li, Jie, Shuang Liu, Chenmeng Song, et al.. (2022). Prestin-Mediated Frequency Selectivity Does not Cover Ultrahigh Frequencies in Mice. Neuroscience Bulletin. 38(7). 769–784. 7 indexed citations
6.
Cheng, Le, Ruirui Dong, Chenmeng Song, et al.. (2022). Mediation Effects of IL-1β and IL-18 on the Association Between Vitamin D Levels and Mild Cognitive Impairment Among Chinese Older Adults: A Case–Control Study in Taiyuan, China. Frontiers in Aging Neuroscience. 14. 836311–836311. 8 indexed citations
7.
Li, Jie, Shuang Liu, Chenmeng Song, et al.. (2021). PIEZO2 mediates ultrasonic hearing via cochlear outer hair cells in mice. Proceedings of the National Academy of Sciences. 118(28). 21 indexed citations
8.
Song, Chenmeng, Jie Li, Shuang Liu, et al.. (2021). An L1 retrotransposon insertion–induced deafness mouse model for studying the development and function of the cochlear stria vascularis. Proceedings of the National Academy of Sciences. 118(40). 4 indexed citations
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11.
Zhang, Luping, Chenmeng Song, Le Cheng, et al.. (2021). Tea polyphenols improve the memory in aging ovariectomized rats by regulating brain glucose metabolism in vivo and in vitro. Journal of Functional Foods. 87. 104856–104856. 8 indexed citations
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13.
Zhang, Luping, Xuemin Li, Ruirui Dong, et al.. (2020). [Effects of resveratrol and soy isoflavones on learning and memory ability and expression of glucose transporter in aging model rats].. PubMed. 49(2). 249–253. 1 indexed citations
14.
Liu, Shuang, Shufeng Wang, Linzhi Zou, et al.. (2019). TMC1 is an essential component of a leak channel that modulates tonotopy and excitability of auditory hair cells in mice. eLife. 8. 25 indexed citations
15.
Li, Jie, et al.. (2018). Deletion of Kncn Does Not Affect Kinocilium and Stereocilia Bundle Morphogenesis and Mechanotransduction in Cochlear Hair Cells. Frontiers in Molecular Neuroscience. 11. 326–326. 6 indexed citations
16.
Chen, Jiaofeng, Xue Zhang, Jie Li, et al.. (2016). Identification of a Novel ENU-Induced Mutation in MouseTbx1Linked to Human DiGeorge Syndrome. Neural Plasticity. 2016. 1–10. 19 indexed citations
17.
Guan, Zheng-Bing, Yan Shui, Chenmeng Song, et al.. (2015). Efficient secretory production of CotA-laccase and its application in the decolorization and detoxification of industrial textile wastewater. Environmental Science and Pollution Research. 22(12). 9515–9523. 40 indexed citations
18.
Guan, Zheng-Bing, Ning Zhang, Chenmeng Song, et al.. (2013). Molecular Cloning, Characterization, and Dye-Decolorizing Ability of a Temperature- and pH-Stable Laccase from Bacillus subtilis X1. Applied Biochemistry and Biotechnology. 172(3). 1147–1157. 38 indexed citations
19.
Guan, Zheng-Bing, Chenmeng Song, Ning Zhang, et al.. (2013). Overexpression, characterization, and dye-decolorizing ability of a thermostable, pH-stable, and organic solvent-tolerant laccase from Bacillus pumilus W3. Journal of Molecular Catalysis B Enzymatic. 101. 1–6. 82 indexed citations
20.
Guan, Zheng-Bing, et al.. (2013). Participation of calmodulin in ovarian maturation induced by eyestalk ablation in red swamp crayfishProcambarus clarkii. Aquaculture Research. 44(10). 1625–1631. 12 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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