Beimeng Yang

3.1k total citations · 3 hit papers
18 papers, 2.1k citations indexed

About

Beimeng Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Beimeng Yang has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Beimeng Yang's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and interferon and immune responses (2 papers). Beimeng Yang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and interferon and immune responses (2 papers). Beimeng Yang collaborates with scholars based in China, United States and Denmark. Beimeng Yang's co-authors include Vilhelm A. Bohr, Deborah L. Croteau, Yujun Hou, Mark P. Mattson, Sofie Lautrup, Xiuli Dan, Evandro Fei Fang, Md Mahdi Hasan‐Olive, Tormod Fladby and Konstantinos Palikaras and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Nature Neuroscience.

In The Last Decade

Beimeng Yang

18 papers receiving 2.1k citations

Hit Papers

Mitophagy inhibits amyloid-β and tau pathology and revers... 2019 2026 2021 2023 2019 2021 2024 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beimeng Yang China 11 975 765 537 355 222 18 2.1k
Bryan A. Adriaanse United Kingdom 5 939 1.0× 915 1.2× 708 1.3× 321 0.9× 178 0.8× 8 2.0k
Antonella Tramutola Italy 31 1.1k 1.2× 1.2k 1.6× 353 0.7× 305 0.9× 159 0.7× 63 2.7k
Md Mahdi Hasan‐Olive Norway 11 761 0.8× 711 0.9× 491 0.9× 245 0.7× 133 0.6× 11 1.7k
Inmaculada Tasset Spain 25 932 1.0× 607 0.8× 787 1.5× 277 0.8× 90 0.4× 50 2.6k
Domenica Caponio Norway 5 643 0.7× 596 0.8× 455 0.8× 215 0.6× 119 0.5× 6 1.4k
Vincent Émond Canada 22 588 0.6× 875 1.1× 141 0.3× 319 0.9× 146 0.7× 33 2.1k
Sofie Lautrup Norway 15 1.7k 1.8× 1.3k 1.7× 1.1k 2.1× 562 1.6× 363 1.6× 25 3.7k
Le Yang China 30 1.2k 1.2× 316 0.4× 371 0.7× 364 1.0× 218 1.0× 117 2.7k

Countries citing papers authored by Beimeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Beimeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beimeng Yang

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

All Works

18 of 18 papers shown
1.
Hou, Yujun, Xixia Chu, Jae Hyeon Park, et al.. (2024). Urolithin A improves Alzheimer's disease cognition and restores mitophagy and lysosomal functions. Alzheimer s & Dementia. 20(6). 4212–4233. 46 indexed citations breakdown →
2.
Dan, Xiuli, Beimeng Yang, Ross A. McDevitt, et al.. (2023). Loss of smelling is an early marker of aging and is associated with inflammation and DNA damage in C57BL/6J mice. Aging Cell. 22(4). e13793–e13793. 10 indexed citations
3.
Hou, Yujun, Jae Hyeon Park, Xiuli Dan, et al.. (2023). RecQ dysfunction contributes to social and depressive-like behavior and affects aldolase activity in mice. Neurobiology of Disease. 180. 106092–106092. 1 indexed citations
4.
Hou, Yujun, Yong Wei, Sofie Lautrup, et al.. (2021). NAD + supplementation reduces neuroinflammation and cell senescence in a transgenic mouse model of Alzheimer’s disease via cGAS–STING. Proceedings of the National Academy of Sciences. 118(37). 367 indexed citations breakdown →
5.
Yang, Beimeng, Xiuli Dan, Yujun Hou, et al.. (2021). NAD+ supplementation prevents STING‐induced senescence in ataxia telangiectasia by improving mitophagy. Aging Cell. 20(4). e13329–e13329. 84 indexed citations
6.
Navarro, José Fernández, Deborah L. Croteau, Aleksandra Jurek, et al.. (2020). Spatial Transcriptomics Reveals Genes Associated with Dysregulated Mitochondrial Functions and Stress Signaling in Alzheimer Disease. iScience. 23(10). 101556–101556. 71 indexed citations
7.
Babbar, Mansi, et al.. (2020). Mitophagy and DNA damage signaling in human aging. Mechanisms of Ageing and Development. 186. 111207–111207. 49 indexed citations
8.
Sun, Chongkui, Kun Wang, Yi Gong, et al.. (2020). Re‐equilibration of imbalanced NAD metabolism ameliorates the impact of telomere dysfunction. The EMBO Journal. 39(21). 49 indexed citations
9.
Yang, Beimeng, et al.. (2019). NEIL1 stimulates neurogenesis and suppresses neuroinflammation after stress. Free Radical Biology and Medicine. 141. 47–58. 25 indexed citations
10.
Fang, Evandro Fei, Yujun Hou, Konstantinos Palikaras, et al.. (2019). Mitophagy inhibits amyloid-β and tau pathology and reverses cognitive deficits in models of Alzheimer’s disease. Nature Neuroscience. 22(3). 401–412. 1263 indexed citations breakdown →
11.
Chen, Lei, Beimeng Yang, Shuai Wang, et al.. (2017). Abnormal circadian oscillation of hippocampal MAPK activity and power spectrums in NF1 mutant mice. Molecular Brain. 10(1). 29–29. 4 indexed citations
12.
Liu, Juan, Beimeng Yang, Pei Zhou, et al.. (2017). Nicotinamide adenine dinucleotide suppresses epileptogenesis at an early stage. Scientific Reports. 7(1). 7321–7321. 12 indexed citations
13.
Yin, Minghao, Zhiqiang Hu, Wei Song, et al.. (2016). 24-hour-restraint stress induces long-term depressive-like phenotypes in mice. Scientific Reports. 6(1). 32935–32935. 70 indexed citations
14.
Yang, Beimeng, Weibo Niu, Shiqing Chen, et al.. (2016). Association study of dopamine receptor genes polymorphisms with the risk of schizophrenia in the Han Chinese population. Psychiatry Research. 245. 361–364. 5 indexed citations
15.
Dong, Yujie, Minghao Yin, Xixia Chu, et al.. (2016). Dental noise exposed mice display depressive-like phenotypes. Molecular Brain. 9(1). 50–50. 10 indexed citations
16.
Yang, Beimeng, Weibo Niu, Shiqing Chen, et al.. (2016). Association study of the GLRX5 rs1007814 polymorphism with schizophrenia in the Han Chinese population. Psychiatric Genetics. 27(2). 76–77. 1 indexed citations
17.
Li, Wenjin, Zhiqiang Li, Kuanjun He, et al.. (2015). Significant association of GRM7 and GRM8 genes with schizophrenia and major depressive disorder in the Han Chinese population. European Neuropsychopharmacology. 26(1). 136–146. 33 indexed citations
18.
Yang, Beimeng, Liemin Ruan, Tao Yu, et al.. (2014). No association of SLC6A3 and SLC6A4 gene polymorphisms with schizophrenia in the Han Chinese population. Neuroscience Letters. 579. 114–118. 8 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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