Yuju Li

1.7k total citations
33 papers, 1.4k citations indexed

About

Yuju Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Yuju Li has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Developmental Neuroscience. Recurrent topics in Yuju Li's work include Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Pluripotent Stem Cells Research (4 papers). Yuju Li is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Pluripotent Stem Cells Research (4 papers). Yuju Li collaborates with scholars based in China, United States and Czechia. Yuju Li's co-authors include Yunlong Huang, Jialin Zheng, Lixia Zhao, Shumin Duan, Jialin Zheng, Lijun Sun, Jianhong Luo, Dong Wang, Mu‐ming Poo and Gang Chen and has published in prestigious journals such as Cell, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Yuju Li

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuju Li China 16 546 359 329 219 158 33 1.4k
Luiz Henrique Geraldo Brazil 17 467 0.9× 237 0.7× 442 1.3× 189 0.9× 44 0.3× 26 1.4k
Christopher R. Bye Australia 23 682 1.2× 508 1.4× 144 0.4× 412 1.9× 168 1.1× 31 1.8k
Stéphane Fouquet France 22 697 1.3× 272 0.8× 151 0.5× 104 0.5× 85 0.5× 36 1.3k
Maryam Faiz Bangladesh 23 474 0.9× 281 0.8× 318 1.0× 133 0.6× 353 2.2× 45 1.4k
Åsa Fex Svenningsen Denmark 22 588 1.1× 428 1.2× 106 0.3× 98 0.4× 229 1.4× 55 1.6k
Sundar Ganesan United States 19 730 1.3× 359 1.0× 81 0.2× 203 0.9× 222 1.4× 49 1.5k
Luísa Cortes Portugal 22 619 1.1× 454 1.3× 199 0.6× 167 0.8× 130 0.8× 43 1.5k
Hao Pang China 24 947 1.7× 341 0.9× 414 1.3× 223 1.0× 56 0.4× 112 2.0k
Kwang Pak United States 27 462 0.8× 169 0.5× 228 0.7× 375 1.7× 68 0.4× 77 1.8k

Countries citing papers authored by Yuju Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuju Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuju Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuju Li. A scholar is included among the top collaborators of Yuju Li 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 Yuju Li. Yuju Li 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
2.
Vijayakumar, Sarath, Yuju Li, Shu Tu, et al.. (2024). In silico transcriptome screens identify epidermal growth factor receptor inhibitors as therapeutics for noise-induced hearing loss. Science Advances. 10(25). eadk2299–eadk2299. 5 indexed citations
3.
Lukashkina, Victoria A., Snezana Levic, Patrício Simões, et al.. (2023). Optogenetics Reveals Roles for Supporting Cells in Force Transmission to and From Outer Hair Cells in the Mouse Cochlea. Journal of Neuroscience. 44(4). e1179232023–e1179232023. 2 indexed citations
4.
Wang, Yanru & Yuju Li. (2022). Scale of Goodwill Impairment and Audit Charge. 198–203.
5.
Hati, Santanu, Marisa Zallocchi, Robert A. Hazlitt, et al.. (2021). AZD5438-PROTAC: A selective CDK2 degrader that protects against cisplatin- and noise-induced hearing loss. European Journal of Medicinal Chemistry. 226. 113849–113849. 30 indexed citations
6.
He, Miao, Hainan Zhang, Yuju Li, et al.. (2019). Direct and selective lineage conversion of human fibroblasts to dopaminergic precursors. Neuroscience Letters. 699. 16–23. 11 indexed citations
7.
Liu, Jianhui, Yuju Li, Xiaohuan Xia, et al.. (2019). Propofol reduces microglia activation and neurotoxicity through inhibition of extracellular vesicle release. Journal of Neuroimmunology. 333. 476962–476962. 18 indexed citations
8.
Li, Yuju, Santhi Gorantla, Larisa Y. Poluektova, et al.. (2019). Small molecule ONC201 inhibits HIV-1 replication in macrophages via FOXO3a and TRAIL. Antiviral Research. 168. 134–145. 7 indexed citations
9.
Deng, Xiaobei, Xiaohuan Xia, Xin‐Rui Qi, et al.. (2018). Direct conversion of mouse astrocytes into neural progenitor cells and specific lineages of neurons. Translational Neurodegeneration. 7(1). 29–29. 26 indexed citations
10.
Huang, Yunlong, Yuju Li, Hainan Zhang, et al.. (2018). Zika virus propagation and release in human fetal astrocytes can be suppressed by neutral sphingomyelinase-2 inhibitor GW4869. Cell Discovery. 4(1). 19–19. 74 indexed citations
11.
Wu, Beiqing, Jianhui Liu, Runze Zhao, et al.. (2018). Glutaminase 1 regulates the release of extracellular vesicles during neuroinflammation through key metabolic intermediate alpha-ketoglutarate. Journal of Neuroinflammation. 15(1). 79–79. 36 indexed citations
12.
He, Miao, Hainan Zhang, Yuju Li, et al.. (2018). Cathelicidin-Derived Antimicrobial Peptides Inhibit Zika Virus Through Direct Inactivation and Interferon Pathway. Frontiers in Immunology. 9. 722–722. 91 indexed citations
13.
Li, Yuju, Runze Zhao, Yinghua Xu, et al.. (2017). Serial deletion reveals structural basis and stability for the core enzyme activity of human glutaminase 1 isoforms: relevance to excitotoxic neurodegeneration. Translational Neurodegeneration. 6(1). 10–10. 9 indexed citations
14.
Wang, Yi, Yuju Li, Runze Zhao, et al.. (2017). Glutaminase C overexpression in the brain induces learning deficits, synaptic dysfunctions, and neuroinflammation in mice. Brain Behavior and Immunity. 66. 135–145. 19 indexed citations
15.
Ning, Bo, et al.. (2016). Query authentications based on a fixed grid partitioning quad-tree index in LBS big data. Journal of Tsinghua University(Science and Technology). 56(7). 785–792. 1 indexed citations
16.
Tian, Changhai, Yuju Li, Yunlong Huang, et al.. (2015). Selective Generation of Dopaminergic Precursors from Mouse Fibroblasts by Direct Lineage Conversion. Scientific Reports. 5(1). 12622–12622. 35 indexed citations
17.
Wáng, Yì, Yunlong Huang, Lixia Zhao, Yuju Li, & Jialin Zheng. (2014). Glutaminase 1 Is Essential for the Differentiation, Proliferation, and Survival of Human Neural Progenitor Cells. Stem Cells and Development. 23(22). 2782–2790. 30 indexed citations
18.
Tian, Changhai, Qiang Liu, Yongxiang Wang, et al.. (2013). Characterization of Induced Neural Progenitors from Skin Fibroblasts by a Novel Combination of Defined Factors. Scientific Reports. 3(1). 1345–1345. 14 indexed citations
19.
Li, Yuju. (2012). An Analysis on the Reliability of CNC Lathe. 1 indexed citations
20.
Chen, Jiadong, Li Zeng, Xiaoxing Zhang, et al.. (2012). Heterosynaptic long‐term depression mediated by ATP released from astrocytes. Glia. 61(2). 178–191. 129 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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