Na Zhou

731 total citations
13 papers, 425 citations indexed

About

Na Zhou is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Na Zhou has authored 13 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Na Zhou's work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (6 papers). Na Zhou is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (6 papers). Na Zhou collaborates with scholars based in United States, China and Germany. Na Zhou's co-authors include Martha E. Bickford, Sean P. Masterson, William Guido, Caixia Yin, Fangjun Huo, Yongkang Yue, Gubbi Govindaiah, Thomas E. Krahe, Heywood M. Petry and Fangqin Cheng and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Na Zhou

13 papers receiving 416 citations

Peers

Na Zhou
Wei Don United States
Emily P. Huang United States
Ondřej Cais United Kingdom
Pierre F. Apostolides United States
Na Zhou
Citations per year, relative to Na Zhou Na Zhou (= 1×) peers Céline Auger

Countries citing papers authored by Na Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Na Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Zhou

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

All Works

13 of 13 papers shown
1.
Zhou, Na, Fangjun Huo, & Caixia Yin. (2024). Advances neurotransmitter fluorescent probe based on chemical reaction or molecular assemble and its neuroimaging. Coordination Chemistry Reviews. 518. 216062–216062. 5 indexed citations
2.
Zhou, Na, Brandon Munn, Robert Law, et al.. (2024). Cortical acetylcholine dynamics are predicted by cholinergic axon activity and behavior state. Cell Reports. 43(10). 114808–114808. 3 indexed citations
3.
Wang, Jiahui, et al.. (2023). Targeting TMEM16A/ANO1 inhibits the progression of BRAF mutant (V600E) melanoma through the MEK/ERK and AKT signaling pathways. Genes & Diseases. 11(6). 101153–101153. 1 indexed citations
4.
Shen, Shan, Xiaolong Jiang, Federico Scala, et al.. (2022). Distinct organization of two cortico-cortical feedback pathways. Nature Communications. 13(1). 6389–6389. 9 indexed citations
5.
Franke, Katrin, Konstantin F. Willeke, Na Zhou, et al.. (2022). State-dependent pupil dilation rapidly shifts visual feature selectivity. Nature. 610(7930). 128–134. 26 indexed citations
6.
Zhou, Na, Caixia Yin, Yongkang Yue, & Fangjun Huo. (2022). Intramolecular hydrogen bond driven specific nucleophilic addition for highly selective detection of NE and its tumor imaging. Sensors and Actuators B Chemical. 373. 132711–132711. 6 indexed citations
7.
Zhou, Na, Caixia Yin, Yongkang Yue, et al.. (2022). A NIR fluorescent probe tracing norepinephrine exocytosis and depression occurrence at the cellular level. Chemical Communications. 58(18). 2999–3002. 21 indexed citations
8.
Zhou, Na, Fangjun Huo, Yongkang Yue, & Caixia Yin. (2020). Specific Fluorescent Probe Based on “Protect–Deprotect” To Visualize the Norepinephrine Signaling Pathway and Drug Intervention Tracers. Journal of the American Chemical Society. 142(41). 17751–17755. 87 indexed citations
9.
Masterson, Sean P., et al.. (2018). Ultrastructural and optogenetic dissection of V1 corticotectal terminal synaptic properties. The Journal of Comparative Neurology. 527(4). 833–842. 14 indexed citations
10.
Zhou, Na, et al.. (2017). The mouse pulvinar nucleus: Organization of the tectorecipient zones. Visual Neuroscience. 34. E011–E011. 79 indexed citations
11.
Zhou, Na, et al.. (2017). The Mouse Pulvinar Nucleus Links the Lateral Extrastriate Cortex, Striatum, and Amygdala. Journal of Neuroscience. 38(2). 347–362. 57 indexed citations
12.
Zhou, Na, et al.. (2016). Synaptic organization of striate cortex projections in the tree shrew: A comparison of the claustrum and dorsal thalamus. The Journal of Comparative Neurology. 525(6). 1403–1420. 22 indexed citations
13.
Bickford, Martha E., Na Zhou, Thomas E. Krahe, Gubbi Govindaiah, & William Guido. (2015). Retinal and Tectal "Driver-Like" Inputs Converge in the Shell of the Mouse Dorsal Lateral Geniculate Nucleus. Journal of Neuroscience. 35(29). 10523–10534. 95 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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