Sen Yan

2.7k total citations
81 papers, 1.5k citations indexed

About

Sen Yan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sen Yan has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 24 papers in Cellular and Molecular Neuroscience and 10 papers in Neurology. Recurrent topics in Sen Yan's work include Genetic Neurodegenerative Diseases (19 papers), Mitochondrial Function and Pathology (16 papers) and CRISPR and Genetic Engineering (11 papers). Sen Yan is often cited by papers focused on Genetic Neurodegenerative Diseases (19 papers), Mitochondrial Function and Pathology (16 papers) and CRISPR and Genetic Engineering (11 papers). Sen Yan collaborates with scholars based in China, United States and Macao. Sen Yan's co-authors include Xiao‐Jiang Li, Shihua Li, Zhuchi Tu, Zhengyu Bao, Chuan-En Wang, Baolin Deng, Chongxuan Liu, Bin Hua, Xiangyu Guo and Weili Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Sen Yan

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Yan China 24 703 269 192 184 156 81 1.5k
Stephen M. Smith United States 28 1.3k 1.8× 1.0k 3.7× 235 1.2× 88 0.5× 373 2.4× 62 2.7k
Chao Ren China 25 745 1.1× 136 0.5× 124 0.6× 78 0.4× 33 0.2× 145 2.1k
Dagmar Müller Germany 25 1.2k 1.6× 220 0.8× 107 0.6× 244 1.3× 38 0.2× 71 2.4k
Yoshihisa Kubota Japan 26 416 0.6× 234 0.9× 47 0.2× 51 0.3× 224 1.4× 140 2.0k
Oskar Karlsson Sweden 30 802 1.1× 108 0.4× 262 1.4× 72 0.4× 22 0.1× 82 2.3k
Bruno Fiévet France 26 651 0.9× 138 0.5× 167 0.9× 92 0.5× 129 0.8× 54 2.2k
Daniel del Toro Spain 15 678 1.0× 675 2.5× 109 0.6× 58 0.3× 52 0.3× 26 2.2k
Lu Gan China 31 1.3k 1.8× 247 0.9× 97 0.5× 88 0.5× 48 0.3× 143 2.8k
István Horváth Sweden 26 1.1k 1.6× 159 0.6× 490 2.6× 117 0.6× 43 0.3× 65 2.2k
Megumi Yamamoto Japan 25 594 0.8× 274 1.0× 41 0.2× 58 0.3× 22 0.1× 102 2.1k

Countries citing papers authored by Sen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Sen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Yan. A scholar is included among the top collaborators of Sen Yan 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 Sen Yan. Sen Yan 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.
Wu, Jiaxi, Jiawei Xu, Chunxiang Shi, et al.. (2025). In vivo self-assembled siRNAs ameliorate neurological pathology in TDP-43-associated neurodegenerative disease. Brain. 149(3). 828–839. 1 indexed citations
2.
Yan, Sen, et al.. (2024). Enhancing data-driven soil moisture modeling with physically-guided LSTM networks. Frontiers in Forests and Global Change. 7. 5 indexed citations
3.
Yan, Sen, et al.. (2024). How do firms respond to divergent ESG ratings? The perspective of green innovation. Research in International Business and Finance. 75. 102741–102741. 7 indexed citations
4.
Wang, Ruonan, et al.. (2024). Defect level induced negative thermal quenching of β-Ba3LuAl2O7.5: Yb3+, Er3+ phosphor. Journal of Alloys and Compounds. 1004. 175852–175852. 2 indexed citations
5.
Zhu, Yu, Wenhao Yang, & Sen Yan. (2024). Advantages and differences among various animal models of Huntington’s disease. 4(3). 1 indexed citations
6.
Zheng, Xiao, Xiang Wang, Huichun Tong, et al.. (2023). Comparing HD knockin pigs and mice reveals the pathological role of IL-17. Cell Reports. 42(12). 113443–113443. 4 indexed citations
7.
Zhu, Wei, Sen Yan, Xiang Ren, et al.. (2023). Effect and Mechanism of Electro-Acupuncture on Neuralgia of Cervical Spondylotic Radiculopathy Based on the Neuron-Gliocyte-Chemokine Signaling Pathway. Journal of Biomedical Nanotechnology. 19(1). 109–116.
8.
Zheng, Xiaoming, Jiawei Li, Chunhui Huang, et al.. (2023). A Specific Mini‐Intrabody Mediates Lysosome Degradation of Mutant Huntingtin. Advanced Science. 10(31). e2301120–e2301120. 6 indexed citations
9.
Tong, Huichun, Tianqi Yang, Li Liu, et al.. (2023). Aberrant splicing of mutant huntingtin in Huntington's disease knock-in pigs. Neurobiology of Disease. 187. 106291–106291. 2 indexed citations
10.
Zheng, Xiaoming, Jiawei Li, Chunhui Huang, et al.. (2023). A Specific Mini‐Intrabody Mediates Lysosome Degradation of Mutant Huntingtin (Adv. Sci. 31/2023). Advanced Science. 10(31). 1 indexed citations
11.
Gao, Yong, S. F. Zhang, R. T. Zhang, et al.. (2023). State-selective Charge Exchange in 19.5–100 keV amu−1 O6+ Collision with He and H2. The Astrophysical Journal Supplement Series. 266(2). 20–20. 12 indexed citations
12.
Li, Xiaojiang, et al.. (2023). Large animal models for Huntington’s disease research. 动物学研究. 45(2). 275–283. 7 indexed citations
13.
Wei, Ji‐an, Bilian Lin, Jing Cui, et al.. (2023). Physical exercise modulates the microglial complement pathway in mice to relieve cortical circuitry deficits induced by mutant human TDP-43. Cell Reports. 42(3). 112240–112240. 13 indexed citations
14.
Chen, Xing‐Xing, Yiran Zhang, Qi Wang, et al.. (2022). Differential expression and roles of Huntingtin and Huntingtin-associated protein 1 in the mouse and primate brains. Cellular and Molecular Life Sciences. 79(11). 554–554. 7 indexed citations
15.
Tan, Zhiqiang, Weijian Ye, Xueying Ling, et al.. (2022). Positron Emission Tomography in the Neuroimaging of Autism Spectrum Disorder: A Review. Frontiers in Neuroscience. 16. 806876–806876. 16 indexed citations
16.
Li, Xiao-Jiang, Sen Yan, Xueyan Zhang, et al.. (2021). Differential development and electrophysiological activity in cultured cortical neurons from the mouse and cynomolgus monkey. Neural Regeneration Research. 16(12). 2446–2446. 3 indexed citations
17.
Yan, Sen, Shihua Li, & Xiao‐Jiang Li. (2019). Use of large animal models to investigate Huntington's diseases. SHILAP Revista de lepidopterología. 8(1). 9–11. 11 indexed citations
18.
Yin, Peng, Xiangyu Guo, Weili Yang, et al.. (2019). Caspase-4 mediates cytoplasmic accumulation of TDP-43 in the primate brains. Acta Neuropathologica. 137(6). 919–937. 46 indexed citations
19.
Wang, Chuan-En, et al.. (2014). Ubiquitin-Activating Enzyme Activity Contributes to Differential Accumulation of Mutant Huntingtin in Brain and Peripheral Tissues. Journal of Neuroscience Nursing. 34(25). 8411–8422.
20.
Wade, Barbara, Chuan-En Wang, Sen Yan, et al.. (2014). Ubiquitin-Activating Enzyme Activity Contributes to Differential Accumulation of Mutant Huntingtin in Brain and Peripheral Tissues. Journal of Neuroscience. 34(25). 8411–8422. 24 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stephen M. Smith Breakdown of academic impact, for papers by Chao Ren Breakdown of academic impact, for papers by Dagmar Müller Breakdown of academic impact, for papers by Yoshihisa Kubota Breakdown of academic impact, for papers by Oskar Karlsson Breakdown of academic impact, for papers by Bruno Fiévet Breakdown of academic impact, for papers by Daniel del Toro Breakdown of academic impact, for papers by Lu Gan Breakdown of academic impact, for papers by István Horváth Breakdown of academic impact, for papers by Megumi Yamamoto
Rankless by CCL
2026