Lite Ge

877 total citations
30 papers, 517 citations indexed

About

Lite Ge is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Lite Ge has authored 30 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 10 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Lite Ge's work include Mesenchymal stem cell research (12 papers), MicroRNA in disease regulation (6 papers) and Extracellular vesicles in disease (5 papers). Lite Ge is often cited by papers focused on Mesenchymal stem cell research (12 papers), MicroRNA in disease regulation (6 papers) and Extracellular vesicles in disease (5 papers). Lite Ge collaborates with scholars based in China. Lite Ge's co-authors include Ming Lü, Da Duan, Yi Zhuo, Zhiping Hu, Ping Chen, Yan Huang, Jialin He, Jianyang Liu, Zheng Jiang and Liuwang Zeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Lite Ge

29 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lite Ge China 13 263 163 133 81 72 30 517
Stylianos Ravanidis Greece 11 239 0.9× 155 1.0× 126 0.9× 58 0.7× 69 1.0× 17 436
Yaobing Yao China 13 457 1.7× 157 1.0× 218 1.6× 59 0.7× 84 1.2× 28 751
Marianne Joerger-Messerli Switzerland 12 389 1.5× 184 1.1× 206 1.5× 64 0.8× 40 0.6× 17 686
Jessica Schira‐Heinen Germany 13 301 1.1× 167 1.0× 129 1.0× 85 1.0× 83 1.2× 24 605
Gabryella S. P. Santos Brazil 14 237 0.9× 140 0.9× 77 0.6× 53 0.7× 73 1.0× 23 683
Julia P. Andreotti Brazil 13 240 0.9× 95 0.6× 75 0.6× 110 1.4× 89 1.2× 15 569
Ana María Vega-Letter Chile 15 279 1.1× 329 2.0× 118 0.9× 41 0.5× 51 0.7× 25 667
Lei Hao China 11 276 1.0× 242 1.5× 165 1.2× 78 1.0× 42 0.6× 20 633
Claire Fabian Germany 13 216 0.8× 173 1.1× 39 0.3× 70 0.9× 59 0.8× 18 479
Fernando Laso-García Spain 12 520 2.0× 173 1.1× 290 2.2× 55 0.7× 33 0.5× 31 720

Countries citing papers authored by Lite Ge

Since Specialization
Citations

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

Fields of papers citing papers by Lite Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lite Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Lite Ge. A scholar is included among the top collaborators of Lite Ge 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 Lite Ge. Lite Ge 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.
Zhang, Cheng, Lite Ge, Xiaoqian Liu, et al.. (2024). Retinoic acid induced specific changes in the phosphoproteome of C17.2 neural stem cells. Journal of Cellular and Molecular Medicine. 28(7). e18205–e18205. 1 indexed citations
2.
Zhao, Jing, Chunli Chen, Lite Ge, et al.. (2024). TAK1 inhibition mitigates intracerebral hemorrhage-induced brain injury through reduction of oxidative stress and neuronal pyroptosis via the NRF2 signaling pathway. Frontiers in Immunology. 15. 1386780–1386780. 4 indexed citations
3.
Zhao, Jing, Huiyin Deng, Chunli Chen, et al.. (2023). Therapeutic potential of stem cell extracellular vesicles for ischemic stroke in preclinical rodent models: a meta-analysis. Stem Cell Research & Therapy. 14(1). 62–62. 15 indexed citations
4.
Deng, Huiyin, Jiuyi Li, Abid Ali Shah, Lite Ge, & Wen Ouyang. (2023). Comprehensive in-silico analysis of deleterious SNPs in APOC2 and APOA5 and their differential expression in cancer and cardiovascular diseases conditions. Genomics. 115(2). 110567–110567. 4 indexed citations
5.
Ge, Lite, Jing Zhao, Huiyin Deng, et al.. (2022). Effect of Bone Marrow Mesenchymal Stromal Cell Therapies in Rodent Models of Sepsis: A Meta-Analysis. Frontiers in Immunology. 12. 792098–792098. 6 indexed citations
6.
Deng, Huiyin, et al.. (2022). Mesenchymal stromal cell extracellular vesicles for multiple sclerosis in preclinical rodent models: A meta-analysis. Frontiers in Immunology. 13. 972247–972247. 17 indexed citations
7.
Hong, Chun‐Gu, Menglu Chen, Ran Duan, et al.. (2022). Transplantation of Nasal Olfactory Mucosa Mesenchymal Stem Cells Benefits Alzheimer’s Disease. Molecular Neurobiology. 59(12). 7323–7336. 21 indexed citations
8.
Liu, Jianyang, Jialin He, Yan Huang, et al.. (2021). Hypoxia-preconditioned mesenchymal stem cells attenuate microglial pyroptosis after intracerebral hemorrhage. Annals of Translational Medicine. 9(17). 1362–1362. 24 indexed citations
9.
Liu, Jianyang, Jialin He, Lite Ge, et al.. (2021). Hypoxic preconditioning rejuvenates mesenchymal stem cells and enhances neuroprotection following intracerebral hemorrhage via the miR-326-mediated autophagy. Stem Cell Research & Therapy. 12(1). 413–413. 62 indexed citations
10.
Ge, Lite, Cheng Zhang, Yi Zhuo, et al.. (2021). A phosphoproteomics study reveals a defined genetic program for neural lineage commitment of neural stem cells induced by olfactory ensheathing cell-conditioned medium. Pharmacological Research. 172. 105797–105797. 4 indexed citations
11.
Liu, Jianyang, Yan Huang, Jialin He, et al.. (2020). Olfactory Mucosa Mesenchymal Stem Cells Ameliorate Cerebral Ischemic/Reperfusion Injury Through Modulation of UBIAD1 Expression. Frontiers in Cellular Neuroscience. 14. 580206–580206. 18 indexed citations
12.
Ge, Lite, Feng Tang, Lu Wang, et al.. (2020). Insight into the proteomic profiling of exosomes secreted by human OM-MSCs reveals a new potential therapy. Biomedicine & Pharmacotherapy. 131. 110584–110584. 28 indexed citations
13.
He, Jialin, Yan Huang, Jianyang Liu, et al.. (2020). Hypoxic conditioned promotes the proliferation of human olfactory mucosa mesenchymal stem cells and relevant lncRNA and mRNA analysis. Life Sciences. 265. 118861–118861. 6 indexed citations
14.
Ge, Lite, Yi Zhuo, Yisong Liu, et al.. (2019). Olfactory ensheathing cells facilitate neurite sprouting and outgrowth by secreting high levels of hevin. Journal of Chemical Neuroanatomy. 104. 101728–101728. 6 indexed citations
15.
16.
Wang, Lei, Yujia Deng, Da Duan, et al.. (2017). Hyperthermia influences fate determination of neural stem cells with lncRNAs alterations in the early differentiation. PLoS ONE. 12(2). e0171359–e0171359. 8 indexed citations
17.
Ge, Lite, Miao Jiang, Da Duan, et al.. (2016). Secretome of Olfactory Mucosa Mesenchymal Stem Cell, a Multiple Potential Stem Cell. Stem Cells International. 2016(1). 1243659–1243659. 63 indexed citations
18.
Ge, Lite, Yi Zhuo, Da Duan, et al.. (2015). [Biological characteristics of human olfactory mucosa mesenchymal stem cells].. PubMed. 40(1). 53–8. 4 indexed citations
19.
20.
Wang, Lei, Da Duan, Zhenyu Zhao, et al.. (2014). [Differentiation of C17.2 neural stem cells into neural cells induced by serum-free conditioned medium of olfactory ensheathing cells and cell viability detection of differentiated cells].. PubMed. 28(5). 633–8. 3 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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