Naiyan Chen

1.0k total citations
8 papers, 600 citations indexed

About

Naiyan Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Naiyan Chen has authored 8 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Naiyan Chen's work include Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Photoreceptor and optogenetics research (2 papers). Naiyan Chen is often cited by papers focused on Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Photoreceptor and optogenetics research (2 papers). Naiyan Chen collaborates with scholars based in United States, China and Singapore. Naiyan Chen's co-authors include Mriganka Sur, Hiroki Sugihara, Gertrudis Perea, Jitendra Sharma, Jeremy Petravicz, Guoping Feng, Boaz Barak, Zhanyan Fu, Weiping Han and Hsiao‐hua Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and ACS Applied Materials & Interfaces.

In The Last Decade

Naiyan Chen

8 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naiyan Chen United States	7	373	326	155	115	51	8	600
Massimo Trusel Italy	18	595 1.6×	288 0.9×	269 1.7×	76 0.7×	78 1.5×	24	1.1k
Jiandong Yu China	15	395 1.1×	252 0.8×	196 1.3×	97 0.8×	34 0.7×	22	611
André Marques–Smith United Kingdom	11	577 1.5×	310 1.0×	257 1.7×	130 1.1×	42 0.8×	12	819
Markus Rothermel Germany	17	488 1.3×	161 0.5×	156 1.0×	76 0.7×	64 1.3×	38	847
François Windels Australia	20	948 2.5×	263 0.8×	134 0.9×	188 1.6×	52 1.0×	29	1.4k
Muhammad O. Chohan United States	9	450 1.2×	211 0.6×	223 1.4×	34 0.3×	30 0.6×	17	666
Natalie M. Doig United Kingdom	12	774 2.1×	398 1.2×	270 1.7×	74 0.6×	91 1.8×	14	1.1k
Stephen L. Cowen United States	15	476 1.3×	508 1.6×	58 0.4×	53 0.5×	82 1.6×	32	759
Demetris K. Roumis United States	10	685 1.8×	760 2.3×	131 0.8×	84 0.7×	54 1.1×	12	1.0k
Mary E. Lambo United States	6	524 1.4×	401 1.2×	222 1.4×	57 0.5×	24 0.5×	6	649

Countries citing papers authored by Naiyan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Naiyan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naiyan Chen

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

All Works

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8 of 8 papers shown

Chen, Qian, Christopher A Deister, Xianhua Gao, et al.. (2020). Dysfunction of cortical GABAergic neurons leads to sensory hyper-reactivity in a Shank3 mouse model of ASD. Nature Neuroscience. 23(4). 520–532. 122 indexed citations

Chen, Qian, Christopher A Deister, Xianhua Gao, et al.. (2020). Dysfunction of cortical GABAergic neurons leads to sensory hyper-reactivity in a Shank3 mouse model of ASD. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations

Chen, Naiyan, Hiroki Sugihara, Jinah Kim, et al.. (2016). Direct modulation of GFAP-expressing glia in the arcuate nucleus bi-directionally regulates feeding. eLife. 5. 86 indexed citations

Sugihara, Hiroki, Naiyan Chen, & Mriganka Sur. (2016). Cell-specific modulation of plasticity and cortical state by cholinergic inputs to the visual cortex. Journal of Physiology-Paris. 110(1-2). 37–43. 14 indexed citations

Chen, Naiyan, Hiroki Sugihara, & Mriganka Sur. (2015). An acetylcholine-activated microcircuit drives temporal dynamics of cortical activity. Nature Neuroscience. 18(6). 892–902. 147 indexed citations

Sur, Mriganka, Ikue Nagakura, Naiyan Chen, & Hiroki Sugihara. (2013). Mechanisms of Plasticity in the Developing and Adult Visual Cortex. Progress in brain research. 207. 243–254. 36 indexed citations

Chen, Naiyan, Hiroki Sugihara, Jitendra Sharma, et al.. (2012). Nucleus basalis-enabled stimulus-specific plasticity in the visual cortex is mediated by astrocytes. Proceedings of the National Academy of Sciences. 109(41). E2832–41. 150 indexed citations

Luo, Shyh‐Chyang, Xie Hong, Naiyan Chen, & Hsiao‐hua Yu. (2009). Trinity DNA Detection Platform by Ultrasmooth and Functionalized PEDOT Biointerfaces. ACS Applied Materials & Interfaces. 1(7). 1414–1419. 43 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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