Woo‐Ping Ge

5.3k total citations · 2 hit papers
47 papers, 3.8k citations indexed

About

Woo‐Ping Ge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Woo‐Ping Ge has authored 47 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Neurology. Recurrent topics in Woo‐Ping Ge's work include Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Woo‐Ping Ge is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). Woo‐Ping Ge collaborates with scholars based in United States, China and Canada. Woo‐Ping Ge's co-authors include Shumin Duan, Lily Yeh Jan, Yuh Nung Jan, Yiren Chen, Wanhua Shen, Zhijun Zhang, Atsushi Miyawaki, Fred H. Gage, Mu-ming Poo and Yunlei Yang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Woo‐Ping Ge

43 papers receiving 3.7k citations

Hit Papers

ATP Released by Astrocyte... 2003 2026 2010 2018 2003 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Woo‐Ping Ge 1.6k 1.5k 816 671 365 47 3.8k
Eyleen L. K. Goh 1.7k 1.0× 1.4k 0.9× 534 0.7× 883 1.3× 583 1.6× 70 4.3k
Quyen T. Nguyen 1.6k 1.0× 2.2k 1.5× 523 0.6× 715 1.1× 628 1.7× 34 4.5k
Cynthia R. Keller-Peck 1.9k 1.2× 2.2k 1.4× 516 0.6× 839 1.3× 157 0.4× 18 4.2k
Kurt A. Sailor 1.5k 0.9× 1.8k 1.2× 890 1.1× 1.9k 2.8× 215 0.6× 36 4.2k
M. Bernstein 1.2k 0.7× 1.5k 1.0× 409 0.5× 519 0.8× 180 0.5× 31 3.4k
Ragnhildur Thóra Káradóttir 1.2k 0.7× 1.6k 1.0× 1.3k 1.6× 1.8k 2.7× 201 0.6× 55 3.8k
J. Tiago Gonçalves 1.7k 1.1× 1.3k 0.9× 420 0.5× 1.0k 1.5× 481 1.3× 21 3.6k
Stefanie Robel 1.2k 0.8× 1.1k 0.7× 933 1.1× 588 0.9× 259 0.7× 32 3.5k
Philip J. Horner 2.9k 1.8× 2.0k 1.3× 997 1.2× 1.4k 2.1× 401 1.1× 96 6.4k
Cédric Bardy 1.7k 1.1× 1.1k 0.7× 353 0.4× 688 1.0× 431 1.2× 40 3.0k

Countries citing papers authored by Woo‐Ping Ge

Since Specialization
Citations

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

Fields of papers citing papers by Woo‐Ping Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woo‐Ping Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Woo‐Ping Ge. A scholar is included among the top collaborators of Woo‐Ping 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 Woo‐Ping Ge. Woo‐Ping 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.
Li, Xiaoli, Shu Wang, Fengzhi Li, et al.. (2025). Transcriptomic Profiling Unveils EDN3 + Meningeal Fibroblasts as Key Players in Sturge‐Weber Syndrome Pathogenesis. Advanced Science. 12(17). e2408888–e2408888. 3 indexed citations
2.
Tang, L H, Jiayi Ding, Peng Cao, et al.. (2025). Curved light sheet microscopy for centimetre-scale cleared tissue imaging. Nature Photonics. 19(6). 577–584. 1 indexed citations
3.
Wang, Yilong, Nan Wang, Di Yao, et al.. (2025). Comprehensive characterization of metabolic consumption and production by the human brain. Neuron. 113(11). 1708–1722.e5. 1 indexed citations
4.
Li, Fengzhi, Jiayu Wang, Shuai Lin, et al.. (2025). A targeted vector for brain endothelial cell gene delivery and cerebrovascular malformation modelling. Nature Biomedical Engineering.
5.
Yi, Yating, Youqi Li, Shiwen Zhang, et al.. (2024). Mapping of individual sensory nerve axons from digits to spinal cord with the transparent embedding solvent system. Cell Research. 34(2). 124–139. 16 indexed citations
6.
Liu, Yitong, Wenzhi Sun, Woo‐Ping Ge, et al.. (2023). Temporal-spatial Generation of Astrocytes in the Developing Diencephalon. Neuroscience Bulletin. 40(1). 1–16. 4 indexed citations
7.
Wang, Nan, Xingjun Chen, Weiqi Chen, et al.. (2022). A systematic observation of vasodynamics from different segments along the cerebral vasculature in the penumbra zone of awake mice following cerebral ischemia and recanalization. Journal of Cerebral Blood Flow & Metabolism. 43(5). 665–679. 14 indexed citations
8.
Yu, Jie, Fanxia Meng, Fangping He, et al.. (2021). Metabolic Abnormalities in Patients with Chronic Disorders of Consciousness. Aging and Disease. 12(2). 386–386. 17 indexed citations
9.
Shi, Yingchao, Le Sun, Mengdi Wang, et al.. (2020). Vascularized human cortical organoids (vOrganoids) model cortical development in vivo. PLoS Biology. 18(5). e3000705–e3000705. 278 indexed citations breakdown →
10.
Men, Yi, Yating Yi, Dian Jing, et al.. (2020). Gli1+ Periodontium Stem Cells Are Regulated by Osteocytes and Occlusal Force. Developmental Cell. 54(5). 639–654.e6. 112 indexed citations
11.
Huang, Gang, Tian Zhao, Chensu Wang, et al.. (2019). PET imaging of occult tumours by temporal integration of tumour-acidosis signals from pH-sensitive 64Cu-labelled polymers. Nature Biomedical Engineering. 4(3). 314–324. 56 indexed citations
12.
Luo, Wenjing, Yating Yi, Dian Jing, et al.. (2019). Investigation of Postnatal Craniofacial Bone Development with Tissue Clearing-Based Three-Dimensional Imaging. Stem Cells and Development. 28(19). 1310–1321. 19 indexed citations
13.
Jing, Dian, Shiwen Zhang, Wenjing Luo, et al.. (2018). Tissue clearing of both hard and soft tissue organs with the PEGASOS method. Cell Research. 28(8). 803–818. 253 indexed citations
14.
Peng, Chuanqi, Xiaofei Gao, Jing Xu, et al.. (2017). Targeting orthotopic gliomas with renal-clearable luminescent gold nanoparticles. Nano Research. 10(4). 1366–1376. 71 indexed citations
15.
Yu, Dan, W. Clay Gustafson, Chun Han, et al.. (2014). An improved monomeric infrared fluorescent protein for neuronal and tumour brain imaging. Nature Communications. 5(1). 3626–3626. 140 indexed citations
16.
Lee, Hye Young, Woo‐Ping Ge, Yajun Huang, et al.. (2011). Bidirectional Regulation of Dendritic Voltage-Gated Potassium Channels by the Fragile X Mental Retardation Protein. Neuron. 72(6). 1091–1091. 5 indexed citations
17.
Lee, Hye Young, Woo‐Ping Ge, Ye He, et al.. (2011). Bidirectional Regulation of Dendritic Voltage-Gated Potassium Channels by the Fragile X Mental Retardation Protein. Neuron. 72(4). 630–642. 122 indexed citations
18.
Zhang, Wei, Woo‐Ping Ge, & Zuoren Wang. (2007). A toolbox for light control of Drosophila behaviors through Channelrhodopsin 2‐mediated photoactivation of targeted neurons. European Journal of Neuroscience. 26(9). 2405–2416. 72 indexed citations
19.
Ge, Woo‐Ping, et al.. (2006). Long-Term Potentiation of Neuron-Glia Synapses Mediated by Ca 2+ -Permeable AMPA Receptors. Science. 312(5779). 1533–1537. 180 indexed citations
20.
Ge, Woo‐Ping, et al.. (2003). ATP Released by Astrocytes Mediates Glutamatergic Activity-Dependent Heterosynaptic Suppression. Neuron. 40(5). 971–982. 527 indexed citations breakdown →

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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