Fu-Ming Zhou

3.6k total citations
43 papers, 2.7k citations indexed

About

Fu-Ming Zhou is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Fu-Ming Zhou has authored 43 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 13 papers in Neurology. Recurrent topics in Fu-Ming Zhou's work include Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Parkinson's Disease Mechanisms and Treatments (10 papers). Fu-Ming Zhou is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Parkinson's Disease Mechanisms and Treatments (10 papers). Fu-Ming Zhou collaborates with scholars based in United States, China and Australia. Fu-Ming Zhou's co-authors include John A. Dani, Yong Liang, John J. Hablitz, Lifen Zhang, Daoyun Ji, Fu‐Wen Zhou, Shengyuan Ding, Matthew Ennis, Vassiliki Aroniadou‐Anderjaska and Mariella De Biasi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Fu-Ming Zhou

42 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fu-Ming Zhou United States 23 1.9k 1.2k 598 435 329 43 2.7k
Edward G. Meloni United States 26 1.5k 0.8× 887 0.7× 651 1.1× 276 0.6× 527 1.6× 37 2.7k
Saobo Lei United States 29 1.8k 0.9× 1.3k 1.0× 640 1.1× 270 0.6× 148 0.4× 63 2.6k
Noriaki Koshikawa Japan 32 2.3k 1.2× 1.2k 1.0× 731 1.2× 165 0.4× 404 1.2× 165 3.1k
Paola Pedarzani United Kingdom 26 2.2k 1.1× 2.1k 1.7× 592 1.0× 294 0.7× 79 0.2× 35 3.1k
Francisco J. Urbano Argentina 28 1.4k 0.7× 820 0.7× 1.2k 2.0× 247 0.6× 388 1.2× 93 2.6k
Donald Cooper United States 28 2.4k 1.2× 1.5k 1.2× 934 1.6× 158 0.4× 146 0.4× 45 3.7k
John F. Smiley United States 34 1.4k 0.7× 973 0.8× 2.0k 3.4× 368 0.8× 163 0.5× 68 4.0k
Rodrigo Andrade United States 32 3.9k 2.0× 2.6k 2.1× 1.2k 2.0× 239 0.5× 99 0.3× 46 4.7k
Diego E. Berman United States 18 1.5k 0.7× 739 0.6× 1.2k 2.0× 189 0.4× 102 0.3× 23 2.6k
F. Woodward Hopf United States 42 3.3k 1.7× 2.2k 1.8× 1.4k 2.3× 102 0.2× 190 0.6× 82 5.0k

Countries citing papers authored by Fu-Ming Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Fu-Ming Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fu-Ming Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Fu-Ming Zhou. A scholar is included among the top collaborators of Fu-Ming Zhou 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 Fu-Ming Zhou. Fu-Ming Zhou 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.
Zhong, Manli, Yuhan Wang, Lin Geng, Francesca‐Fang Liao, & Fu-Ming Zhou. (2023). Dopamine-independent development and maintenance of mouse striatal medium spiny neuron dendritic spines. Neurobiology of Disease. 181. 106096–106096. 5 indexed citations
2.
Chen, Xingyong, Ling Chen, Zhengjun Wang, et al.. (2022). White matter damage as a consequence of vascular dysfunction in a spontaneous mouse model of chronic mild chronic hypoperfusion with eNOS deficiency. Molecular Psychiatry. 27(11). 4754–4769. 32 indexed citations
3.
Liao, Francesca‐Fang, Xingyong Chen, Ling Chen, et al.. (2021). Endothelial Nitric Oxide Synthase–Deficient Mice. American Journal Of Pathology. 191(11). 1932–1945. 36 indexed citations
4.
Wang, Yuhan, et al.. (2020). The antiparkinson drug ropinirole inhibits movement in a Parkinson's disease mouse model with residual dopamine neurons. Experimental Neurology. 333. 113427–113427. 8 indexed citations
5.
Li, Li, et al.. (2018). Hyperactive Response of Direct Pathway Striatal Projection Neurons to L-dopa and D1 Agonism in Freely Moving Parkinsonian Mice. Frontiers in Neural Circuits. 12. 57–57. 16 indexed citations
7.
Xie, Yu‐Feng & Fu-Ming Zhou. (2014). TRPC3 channel mediates excitation of striatal cholinergic interneurons. Neurological Sciences. 35(11). 1757–1761. 4 indexed citations
8.
Zhang, Lifen, Fu‐Wen Zhou, Suzhen Gong, et al.. (2014). Cocaine inhibition of nicotinic acetylcholine receptors influences dopamine release. Frontiers in Synaptic Neuroscience. 6. 19–19. 29 indexed citations
9.
Ding, Shengyuan, Li Li, & Fu-Ming Zhou. (2013). Presynaptic Serotonergic Gating of the Subthalamonigral Glutamatergic Projection. Journal of Neuroscience. 33(11). 4875–4885. 16 indexed citations
10.
Dong, Hong‐Wei, James C. Davis, Shengyuan Ding, et al.. (2012). Expression of transient receptor potential (TRP) channel mRNAs in the mouse olfactory bulb. Neuroscience Letters. 524(1). 49–54. 20 indexed citations
11.
Zhou, Fu-Ming. (2010). A Transient Receptor Potential Channel Regulates Basal Ganglia Output. Reviews in the Neurosciences. 21(2). 95–118. 10 indexed citations
12.
Zhou, Fu‐Wen, Shannon G. Matta, & Fu-Ming Zhou. (2008). Constitutively Active TRPC3 Channels Regulate Basal Ganglia Output Neurons. Journal of Neuroscience. 28(2). 473–482. 74 indexed citations
13.
Chen, Rong, Michael R. Tilley, Hua Wei, et al.. (2006). Abolished cocaine reward in mice with a cocaine-insensitive dopamine transporter. Proceedings of the National Academy of Sciences. 103(24). 9333–9338. 215 indexed citations
14.
Gómez, Carmela, Jesús G. Briñón, Laura Orío, et al.. (2006). Changes in the serotonergic system in the main olfactory bulb of rats unilaterally deprived from birth to adulthood. Journal of Neurochemistry. 100(4). 924–938. 15 indexed citations
15.
Zhou, Fu‐Wen, Jianjun Xu, Yu Zhao, Mark S. LeDoux, & Fu-Ming Zhou. (2006). Opposite Functions of Histamine H1 and H2 Receptors and H3 Receptor in Substantia Nigra Pars Reticulata. Journal of Neurophysiology. 96(3). 1581–1591. 58 indexed citations
16.
Zhou, Fu-Ming, Yong Liang, Ramiro Salas, et al.. (2005). Corelease of Dopamine and Serotonin from Striatal Dopamine Terminals. Neuron. 46(1). 65–74. 144 indexed citations
17.
Zhang, Lifen, Fu-Ming Zhou, & John A. Dani. (2004). Cholinergic Drugs for Alzheimer's Disease Enhance in Vitro Dopamine Release. Molecular Pharmacology. 66(3). 538–544. 102 indexed citations
18.
Dani, John A., Daoyun Ji, & Fu-Ming Zhou. (2001). Synaptic Plasticity and Nicotine Addiction. Neuron. 31(3). 349–352. 224 indexed citations
19.
Zhou, Fu-Ming, Yong Liang, & John A. Dani. (2001). Endogenous nicotinic cholinergic activity regulates dopamine release in the striatum. Nature Neuroscience. 4(12). 1224–1229. 459 indexed citations
20.
Zhou, Fu-Ming, et al.. (1998). AMPA receptor-mediated EPSCs in rat neocortical layer II/III interneurons have rapid kinetics. Brain Research. 780(1). 166–169. 29 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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