Jun Gao

7.0k total citations · 3 hit papers
63 papers, 5.6k citations indexed

About

Jun Gao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Jun Gao has authored 63 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 11 papers in Cancer Research. Recurrent topics in Jun Gao's work include Neuroscience and Neuropharmacology Research (12 papers), MicroRNA in disease regulation (9 papers) and Extracellular vesicles in disease (8 papers). Jun Gao is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), MicroRNA in disease regulation (9 papers) and Extracellular vesicles in disease (8 papers). Jun Gao collaborates with scholars based in China, United States and Canada. Jun Gao's co-authors include Li-Huei Tsai, Ji‐Song Guan, Huixin Zhang, Tian Tian, Bakhos A. Tannous, Johannes Gräff, Ying Zhou, Nadine F. Joseph, Stephen J. Haggarty and Ralph Mazitschek and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jun Gao

59 papers receiving 5.5k citations

Hit Papers

HDAC2 negatively regulates memory formation and synaptic ... 2009 2026 2014 2020 2009 2017 2010 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
Jun Gao China 26 3.6k 1.2k 843 792 675 63 5.6k
Ji‐Song Guan China 25 2.9k 0.8× 389 0.3× 1.2k 1.4× 1.5k 1.8× 844 1.3× 49 4.8k
Yingwei Mao United States 30 2.6k 0.7× 511 0.4× 462 0.5× 576 0.7× 642 1.0× 75 4.0k
Masafumi Ito Japan 33 2.0k 0.6× 1.0k 0.8× 789 0.9× 664 0.8× 111 0.2× 63 4.3k
Luís Pereira de Almeida Portugal 45 3.9k 1.1× 828 0.7× 552 0.7× 2.4k 3.0× 668 1.0× 148 6.1k
Nozomu Mori Japan 42 4.1k 1.1× 337 0.3× 878 1.0× 1.3k 1.6× 485 0.7× 214 6.8k
Toshiyuki Araki Japan 33 2.7k 0.7× 361 0.3× 698 0.8× 2.2k 2.8× 320 0.5× 94 5.6k
Oliver Kretz Germany 45 4.0k 1.1× 701 0.6× 915 1.1× 1.8k 2.3× 1.4k 2.1× 93 8.7k
Dariusz C. Górecki United Kingdom 37 2.4k 0.7× 324 0.3× 692 0.8× 683 0.9× 357 0.5× 117 4.2k
Minh Dang Nguyen Canada 32 2.5k 0.7× 176 0.1× 940 1.1× 1.1k 1.4× 305 0.5× 70 5.7k
Kwang‐Soo Kim United States 42 4.0k 1.1× 240 0.2× 704 0.8× 1.9k 2.3× 578 0.9× 117 6.4k

Countries citing papers authored by Jun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Gao. A scholar is included among the top collaborators of Jun Gao 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 Jun Gao. Jun Gao 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.
Zhang, Yanli, Min Cao, Shuying Zhang, et al.. (2025). Lung memory B cells ameliorate Alzheimer’s disease-like pathology in 5×FAD mice through the CXCL12-CXCR4 axis. Acta Pharmacologica Sinica. 47(3). 608–624.
3.
Zhu, Haifeng, et al.. (2024). Radiation-primed TGF-β trapping by engineered extracellular vesicles for targeted glioblastoma therapy. Journal of Controlled Release. 370. 821–834. 7 indexed citations
4.
Wu, Qian, Jiahuan Wu, Wen She, et al.. (2024). Exosomes from Hypoxia-treated Mesenchymal Stem Cells: Promoting Neuroprotection in Ischemic Stroke Through miR-214-3p/PTEN Mechanism. Molecular Neurobiology. 61(10). 7611–7626. 14 indexed citations
5.
Dai, Jing, Jiaqi Zhang, Qi Cui, et al.. (2023). Protein phosphatase 2A deficiency in hippocampal CA1 inhibits priming effect of morphine on conditioned place preference in mice. Cerebral Cortex. 33(11). 6594–6607. 1 indexed citations
6.
Wang, Jie, Jiaqi Zhang, Qi Cui, et al.. (2023). The deficiency of Maged1 attenuates Parkinson's disease progression in mice. Molecular Brain. 16(1). 22–22. 1 indexed citations
7.
Fu, Guoxiang, Liping Liang, Xiaomeng Li, et al.. (2020). SIRT1 inhibitors mitigate radiation-induced GI syndrome by enhancing intestinal-stem-cell survival. Cancer Letters. 501. 20–30. 32 indexed citations
8.
Liu, Rui, Min Xu, Xiaoyang Zhang, et al.. (2020). PDK1 Regulates the Maintenance of Cell Body and the Development of Dendrites of Purkinje Cells by pS6 and PKCγ. Journal of Neuroscience. 40(29). 5531–5548. 8 indexed citations
9.
Zhang, Huixin, Jin Wu, Jiahuan Wu, et al.. (2019). Exosome-mediated targeted delivery of miR-210 for angiogenic therapy after cerebral ischemia in mice. Journal of Nanobiotechnology. 17(1). 29–29. 230 indexed citations
10.
Wang, Jing, Yu Liu, Qi Cui, et al.. (2019). A protein phosphatase 2A deficit in the hippocampal CA1 area impairs memory extinction. Molecular Brain. 12(1). 51–51. 19 indexed citations
11.
Gao, Jun, Jianguo Shi, Huili Jiang, Bin Du, & Xiang Fang. (2017). Prognostic factors analysis of frontal lobe epilepsy surgery. Biomedical Research-tokyo. 28(8). 3522–3526. 1 indexed citations
12.
Zhu, Yun, Shengwen Liu, Limin Liu, et al.. (2017). In Situ Release of VEGF Enhances Osteogenesis in 3D Porous Scaffolds Engineered with Osterix-Modified Adipose-Derived Stem Cells. Tissue Engineering Part A. 23(9-10). 445–457. 24 indexed citations
13.
Kong, Xiangyi, Huanwen Wu, Wenbin Ma, et al.. (2016). Schwannoma in Sellar Region Mimics Invasive Pituitary Macroadenoma. Medicine. 95(9). e2931–e2931. 13 indexed citations
14.
Yang, Jianjun, Ai-Li Xu, Yu Liu, et al.. (2014). Maged1 Co-interacting with CREB Through a Hexapeptide Repeat Domain Regulates Learning and Memory in Mice. Molecular Neurobiology. 51(1). 8–18. 18 indexed citations
15.
Wang, Pei, Wei Wang, Jun Gao, et al.. (2014). Craniocerebral injury promotes the repair of peripheral nerve injury. Neural Regeneration Research. 9(18). 1703–1703. 9 indexed citations
16.
Giusti‐Rodríguez, Paola, Jun Gao, Johannes Gräff, et al.. (2011). Synaptic Deficits Are Rescued in the p25/Cdk5 Model of Neurodegeneration by the Reduction of β-Secretase (BACE1). Journal of Neuroscience. 31(44). 15751–15756. 26 indexed citations
17.
Gao, Jun, Yingwei Mao, Johannes Gräff, et al.. (2010). A novel pathway regulates memory and plasticity via SIRT1 and miR-134. Nature. 466(7310). 1105–1109. 814 indexed citations breakdown →
18.
Gao, Jun, Ke Qiao, Hongxia Ma, et al.. (2007). Functional Polymorphisms in the Cyclooxygenase 2 (COX-2) Gene and Risk of Breast Cancer in a Chinese Population. Journal of Toxicology and Environmental Health. 70(11). 908–915. 40 indexed citations
19.
Wang, Yan, Tian Tian, Zhibin Hu, et al.. (2007). EGF promoter SNPs, plasma EGF levels and risk of breast cancer in Chinese women. Breast Cancer Research and Treatment. 111(2). 321–327. 20 indexed citations
20.
Ma, Hongxia, Guangfu Jin, Zhibin Hu, et al.. (2006). Variant genotypes of CDKN1A and CDKN1B are associated with an increased risk of breast cancer in Chinese women. International Journal of Cancer. 119(9). 2173–2178. 42 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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