Xiaochun Gu

683 total citations
23 papers, 513 citations indexed

About

Xiaochun Gu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Xiaochun Gu has authored 23 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Xiaochun Gu's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Xiaochun Gu is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Xiaochun Gu collaborates with scholars based in China, United States and Canada. Xiaochun Gu's co-authors include Chunjie Zhao, Gao‐Jun Teng, Congwu Du, Nora D. Volkow, Yingtian Pan, Alan P. Koretsky, Jinpeng Chen, Ning Gu, Jiaojie Hui and Baoci Shan and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Xiaochun Gu

23 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochun Gu China 12 205 117 87 87 82 23 513
Luke Kaplan United States 7 187 0.9× 121 1.0× 53 0.6× 179 2.1× 73 0.9× 9 606
Matilde Balbi Germany 17 217 1.1× 200 1.7× 163 1.9× 210 2.4× 52 0.6× 25 827
Corey M. McCann United States 9 267 1.3× 226 1.9× 37 0.4× 36 0.4× 87 1.1× 11 567
Balázs Varga United Kingdom 8 157 0.8× 141 1.2× 40 0.5× 69 0.8× 45 0.5× 13 379
Zhiming Shen China 12 145 0.7× 159 1.4× 213 2.4× 64 0.7× 82 1.0× 32 657
Joon-Hyuk Lee South Korea 6 219 1.1× 125 1.1× 84 1.0× 36 0.4× 32 0.4× 8 573
Jackeline Moraes Malheiros Brazil 13 98 0.5× 180 1.5× 36 0.4× 38 0.4× 36 0.4× 23 441
Litia Carvalho United States 12 220 1.1× 105 0.9× 36 0.4× 38 0.4× 121 1.5× 23 583
Kirsten Wissel Germany 14 146 0.7× 136 1.2× 43 0.5× 106 1.2× 52 0.6× 24 478
Johanna Jackson United Kingdom 11 149 0.7× 242 2.1× 63 0.7× 147 1.7× 48 0.6× 22 590

Countries citing papers authored by Xiaochun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochun Gu. A scholar is included among the top collaborators of Xiaochun Gu 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 Xiaochun Gu. Xiaochun Gu 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.
Li, Jie, et al.. (2024). Associations of Blood Lipids with the Risk and Prognosis of Sudden Sensorineural Hearing Loss: A Meta-analysis. The Journal of International Advanced Otology. 20(5). 431–438. 2 indexed citations
2.
Zhou, Zhongqiu, Ying Bai, Xiaochun Gu, et al.. (2024). Membrane Associated RNA‐Containing Vesicles Regulate Cortical Astrocytic Microdomain Calcium Transients in Awake Ischemic Stroke Mice. Advanced Science. 11(46). e2404391–e2404391. 1 indexed citations
3.
Zhu, Xiangyun, et al.. (2023). Interventional metabology: A review of bariatric arterial embolization and endovascular denervation for treating metabolic disorders. Journal of Diabetes. 15(8). 665–673. 2 indexed citations
4.
Li, Bin, Xi Wen, Ying Bai, et al.. (2023). FTO-dependent m6A modification of Plpp3 in circSCMH1-regulated vascular repair and functional recovery following stroke. Nature Communications. 14(1). 489–489. 73 indexed citations
5.
Lu, Xinyi, Yunlong Li, Xiaochun Gu, Xinyue Zhang, & Ning Ma. (2023). Self‐Healable, Self‐Adhesive Conductive Hydrogels Based on Integrated Multiple Interactions for Wearable Sensing. Macromolecular Chemistry and Physics. 224(24). 4 indexed citations
6.
Chen, Keping, et al.. (2022). Heterogeneity of immune control in chronic hepatitis B virus infection: Clinical implications on immunity with interferon-α treatment and retreatment. World Journal of Gastroenterology. 28(40). 5784–5800. 1 indexed citations
7.
Gu, Xiaochun, et al.. (2020). Presenilin-1 mutation is associated with a hippocampus defect in alzheimer’s disease: Meta-Analysis for neuroimaging research. Clinical Neurology and Neurosurgery. 191. 105679–105679. 2 indexed citations
8.
Gu, Xiaochun, et al.. (2018). Synchronized Astrocytic Ca2+ Responses in Neurovascular Coupling during Somatosensory Stimulation and for the Resting State. Cell Reports. 23(13). 3878–3890. 54 indexed citations
9.
10.
Han, Xiao, Xiaochun Gu, Qianqian Zhang, et al.. (2018). FoxG1 Directly Represses Dentate Granule Cell Fate During Forebrain Development. Frontiers in Cellular Neuroscience. 12. 452–452. 8 indexed citations
11.
Li, Mingxi, Yang Liu, Jinpeng Chen, et al.. (2018). Platelet bio-nanobubbles as microvascular recanalization nanoformulation for acute ischemic stroke lesion theranostics. Theranostics. 8(18). 4870–4883. 89 indexed citations
12.
Gu, Xiaochun, et al.. (2017). Long-term optical imaging of neurovascular coupling in mouse cortex using GCaMP6f and intrinsic hemodynamic signals. NeuroImage. 165. 251–264. 26 indexed citations
13.
Gu, Xiaochun, et al.. (2016). High-speed swept source optical coherence Doppler tomography for deep brain microvascular imaging. Scientific Reports. 6(1). 38786–38786. 19 indexed citations
14.
Wu, Xiaojing, Xiaochun Gu, Xiaoning Han, et al.. (2014). A Novel Function forFoxm1in Interkinetic Nuclear Migration in the Developing Telencephalon and Anxiety-Related Behavior. Journal of Neuroscience. 34(4). 1510–1522. 21 indexed citations
15.
Nie, Binbin, Kewei Chen, Junhua Liu, et al.. (2012). A rat brain MRI template with digital stereotaxic atlas of fine anatomical delineations in paxinos space and its automated application in voxel‐wise analysis. Human Brain Mapping. 34(6). 1306–1318. 99 indexed citations
16.
Gu, Xiaochun, Xiaojing Wu, Yan Yan, et al.. (2011). Inducible Genetic Lineage Tracing of Cortical Hem Derived Cajal-Retzius Cells Reveals Novel Properties. PLoS ONE. 6(12). e28653–e28653. 29 indexed citations
17.
18.
Hu, Yuan, et al.. (2008). Expression pattern of Wnt inhibitor factor 1(Wif1) during the development in mouse CNS. Gene Expression Patterns. 8(7-8). 515–522. 26 indexed citations
19.
Yan, Yan, Yiping Li, Xiaochun Gu, et al.. (2008). Expression of Frizzled10 in mouse central nervous system. Gene Expression Patterns. 9(3). 173–177. 11 indexed citations
20.
Gu, Xiaochun, Yiping Li, Guang Liu, et al.. (2008). Generation of Frizzled10‐Cre transgenic mouse line: A useful tool for the study of dorsal telencephalic development. genesis. 46(10). 523–529. 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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