Ming Gao

2.2k total citations
60 papers, 1.7k citations indexed

About

Ming Gao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Ming Gao has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cellular and Molecular Neuroscience, 25 papers in Molecular Biology and 13 papers in Cognitive Neuroscience. Recurrent topics in Ming Gao's work include Neuroscience and Neuropharmacology Research (27 papers), Neurotransmitter Receptor Influence on Behavior (19 papers) and Receptor Mechanisms and Signaling (15 papers). Ming Gao is often cited by papers focused on Neuroscience and Neuropharmacology Research (27 papers), Neurotransmitter Receptor Influence on Behavior (19 papers) and Receptor Mechanisms and Signaling (15 papers). Ming Gao collaborates with scholars based in United States, China and Netherlands. Ming Gao's co-authors include Jie Wu, Zheng‐Xiong Xi, Hai‐Ying Zhang, Eliot L. Gardner, Qing‐Rong Liu, Fenfei Gao, Xia Li, Guo-Hua Bi, Hey‐Kyoung Lee and Changliang Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Neuron.

In The Last Decade

Ming Gao

60 papers receiving 1.7k citations

Peers

Ming Gao

CMN

PHARM

PHYSI

Antonio Luchicchi Netherlands

Andrés E. Chávez Chile

Anders Borgkvist Sweden

Mathieu Lafourcade France

Brady K. Atwood United States

Małgorzata Frankowska Poland

Jordi Bonaventura United States

Steven C. Leiser United States

Thomas J. Younts United States

Chiung‐Chun Huang Taiwan

Antonio Luchicchi Netherlands

Ming Gao

888 ×0.9

CMN

503 ×0.8

PHARM

545 ×1.0

332 ×0.8

227 ×1.1

PHYSI

Citations per year, relative to Ming Gao Ming Gao (= 1×) peers Antonio Luchicchi

Countries citing papers authored by Ming Gao

Since Specialization

Citations

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

Fields of papers citing papers by Ming Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Gao. A scholar is included among the top collaborators of Ming 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 Ming Gao. Ming Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Guo, Y., Mingqing Zhang, Hui Liu, et al.. (2025). Comparative analysis of engineered-exosome delivered si-HER2 and trastuzumab in the treatment of HER2-positive gastric cancer. Investigational New Drugs. 43(4). 820–835. 1 indexed citations

Ma, Peihua, Xiaoxue Jia, Ming Gao, et al.. (2024). Innovative food supply chain through spatial computing technologies: A review. Comprehensive Reviews in Food Science and Food Safety. 23(6). e70055–e70055. 3 indexed citations

Zhang, Hai‐Ying, Hui Shen, Ming Gao, et al.. (2021). Cannabinoid CB2 receptors are expressed in glutamate neurons in the red nucleus and functionally modulate motor behavior in mice. Neuropharmacology. 189. 108538–108538. 23 indexed citations

Ma, Zegang, Fenfei Gao, Ming Gao, et al.. (2019). Mechanisms of Cannabinoid CB2 Receptor-Mediated Reduction of Dopamine Neuronal Excitability in Mouse Ventral Tegmental Area. SSRN Electronic Journal. 3 indexed citations

Rodrı́guez, Gabriela, et al.. (2019). Disruption of NMDAR Function Prevents Normal Experience-Dependent Homeostatic Synaptic Plasticity in Mouse Primary Visual Cortex. Journal of Neuroscience. 39(39). 7664–7673. 18 indexed citations

Gao, Ming, et al.. (2019). Proceedings of the Tiangong-2 Remote Sensing Application Conference Technology, Method and Application. Springer eBooks. 1 indexed citations

Gao, Fenfei, Ming Gao, Xiaokuang Ma, et al.. (2019). Mechanisms of cannabinoid CB2 receptor-mediated reduction of dopamine neuronal excitability in mouse ventral tegmental area. EBioMedicine. 42. 225–237. 44 indexed citations

Gao, Fenfei, Xiaokuang Ma, Sterling N. Sudweeks, et al.. (2019). Alpha6-containing nicotinic acetylcholine receptor is a highly sensitive target of alcohol. Neuropharmacology. 149. 45–54. 21 indexed citations

Liu, Changliang, et al.. (2018). Cocaine-induced locomotor sensitization associates with slow oscillatory firing of neurons in the ventral tegmental area. Scientific Reports. 8(1). 3274–3274. 4 indexed citations

10.

Gao, Ming, et al.. (2018). Heterogeneity of cannabinoid ligand-induced modulations in intracellular Ca2+ signals of mouse pancreatic acinar cells in vitro. Acta Pharmacologica Sinica. 40(3). 410–417. 6 indexed citations

11.

Gao, Ming, Shiyong Huang, Angela Lee, et al.. (2017). Experience-dependent homeostasis of ‘noise’ at inhibitory synapses preserves information coding in adult visual cortex. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1715). 20160156–20160156. 20 indexed citations

12.

Sun, Guozhu, Xiaokuang Ma, Shuangtao Li, et al.. (2017). Hippocampal synaptic and neural network deficits in young mice carrying the humanAPOE4gene. CNS Neuroscience & Therapeutics. 23(9). 748–758. 34 indexed citations

13.

Zhang, Hai‐Ying, Ming Gao, Hui Shen, et al.. (2016). Expression of functional cannabinoid CB ₂ receptor in VTA dopamine neurons in rats. Addiction Biology. 22(3). 752–765. 120 indexed citations

14.

Yin, Jun, Marwan Maalouf, Pengcheng Han, et al.. (2015). Ketones block amyloid entry and improve cognition in an Alzheimer's model. Neurobiology of Aging. 39. 25–37. 110 indexed citations

15.

Ma, Luyao, Wu Chen, Jin Yu, et al.. (2014). Electrophysiological Phenotypes of MeCP2 A140V Mutant Mouse Model. CNS Neuroscience & Therapeutics. 20(5). 420–428. 12 indexed citations

16.

Wu, Jie, et al.. (2014). Neuronal nicotinic acetylcholine receptors are important targets for alcohol reward and dependence. Acta Pharmacologica Sinica. 35(3). 311–315. 32 indexed citations

17.

Graves, Bridget, Ming Gao, David L. Williams, et al.. (2013). 9-Phenanthrol and flufenamic acid inhibit calcium oscillations in HL-1 mouse cardiomyocytes. Cell Calcium. 54(3). 193–201. 15 indexed citations

18.

Wu, Jie, et al.. (2013). Cortical control of VTA function and influence on nicotine reward. Biochemical Pharmacology. 86(8). 1173–1180. 31 indexed citations

19.

Gao, Ming, Dan Xu, Weibo Shi, et al.. (2012). Impact of prefrontal cortex in nicotine-induced excitation of VTA dopamine neurons in anesthetized rats.. European Journal of Neuroscience. 1 indexed citations

20.

Wang, Kui, Chao Zheng, Wu Chen, et al.. (2008). α-Chloralose diminishes γ oscillations in rat hippocampal slices. Neuroscience Letters. 441(1). 66–71. 14 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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