Ao Dong

1.4k total citations · 1 hit paper
18 papers, 823 citations indexed

About

Ao Dong is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Molecular Biology. According to data from OpenAlex, Ao Dong has authored 18 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Pharmacology and 4 papers in Molecular Biology. Recurrent topics in Ao Dong's work include Cannabis and Cannabinoid Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Ao Dong is often cited by papers focused on Cannabis and Cannabinoid Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Ao Dong collaborates with scholars based in China, United States and Netherlands. Ao Dong's co-authors include Yulong Li, Hao Wu, Miao Jing, Zhaofa Wu, Jiulin Du, Weiyu Chen, Dayu Lin, Julieta E. Lischinsky, Jiesi Feng and Huan Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Ao Dong

17 papers receiving 810 citations

Hit Papers

A Genetically Encoded Fluorescent Sensor for Rapid and Sp... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ao Dong China 11 434 248 191 127 85 18 823
Maxime Cazorla France 13 765 1.8× 408 1.6× 145 0.8× 55 0.4× 9 0.1× 16 1.1k
Enrica Maria Petrini Italy 16 792 1.8× 521 2.1× 210 1.1× 18 0.1× 18 0.2× 27 1.1k
Natalya Korogod Switzerland 7 461 1.1× 327 1.3× 122 0.6× 22 0.2× 15 0.2× 13 713
Torsten Bullmann Germany 13 635 1.5× 222 0.9× 294 1.5× 25 0.2× 6 0.1× 21 1.0k
Jun-Hyeong Cho United States 13 768 1.8× 385 1.6× 589 3.1× 34 0.3× 23 0.3× 15 1.3k
Udo Kraushaar Germany 20 1.1k 2.6× 516 2.1× 737 3.9× 27 0.2× 13 0.2× 43 1.9k
Jong‐Cheol Rah South Korea 18 571 1.3× 725 2.9× 153 0.8× 80 0.6× 3 0.0× 45 1.4k
José L. Valdés Chile 24 200 0.5× 216 0.9× 217 1.1× 18 0.1× 22 0.3× 50 1.3k
Namsoo Kim South Korea 24 598 1.4× 562 2.3× 495 2.6× 19 0.1× 7 0.1× 73 1.6k
M. Bret Schneider United States 11 1.1k 2.6× 188 0.8× 532 2.8× 20 0.2× 7 0.1× 23 1.4k

Countries citing papers authored by Ao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ao Dong

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

All Works

18 of 18 papers shown
1.
Dong, Ao, et al.. (2025). Association Between Cumulative Body Mass Index Exposure and the Risk of Incident Cardiac Conduction Block. Journal of the American Heart Association. 14(8). e039522–e039522.
2.
Singh, Simar, Dale Whittington, Ao Dong, et al.. (2024). P2X7 receptor‐dependent increase in endocannabinoid 2‐arachidonoyl glycerol production by neuronal cells in culture: Dynamics and mechanism. British Journal of Pharmacology. 181(15). 2459–2477. 2 indexed citations
3.
Dong, Ao, Yan Xu, Qinghua Wu, et al.. (2024). Regulatory effects of high concentrate diet synergistically fermented with cellulase and lactic acid bacteria: In vitro ruminal fermentation, methane production, and rumen microbiome. Animal Feed Science and Technology. 319. 116194–116194. 8 indexed citations
4.
Liu, Peipei, Xiaofu Zhang, Zihao Zhang, et al.. (2024). Association of changes in metabolic syndrome with new-onset and progression of chronic kidney disease. Endocrine. 88(1). 99–109. 1 indexed citations
5.
Zhao, Pianpian, Zhimin Ying, Ao Dong, et al.. (2024). Shared genetic architecture highlights the bidirectional association between major depressive disorder and fracture risk. General Psychiatry. 37(3). e101418–e101418. 5 indexed citations
6.
Wu, Zhaofa, Yuting Cui, Huan Wang, et al.. (2023). Neuronal activity-induced, equilibrative nucleoside transporter-dependent, somatodendritic adenosine release revealed by a GRAB sensor. Proceedings of the National Academy of Sciences. 120(14). e2212387120–e2212387120. 39 indexed citations
7.
Kondev, Veronika, Farhana Yasmin, Amanda Morgan, et al.. (2023). Endocannabinoid release at ventral hippocampal-amygdala synapses regulates stress-induced behavioral adaptation. Cell Reports. 42(9). 113027–113027. 11 indexed citations
8.
Albarran, Eddy, Yue Sun, Karthik Raju, et al.. (2023). Postsynaptic synucleins mediate endocannabinoid signaling. Nature Neuroscience. 26(6). 997–1007. 23 indexed citations
9.
Singh, Simar, Ao Dong, Larry S. Zweifel, et al.. (2023). Pharmacological Characterization of the Endocannabinoid Sensor GRAB eCB2.0. Cannabis and Cannabinoid Research. 9(5). 1250–1266. 6 indexed citations
10.
Gunduz‐Cinar, Ozge, Emma T. Brockway, Farhana Yasmin, et al.. (2023). A cortico-amygdala neural substrate for endocannabinoid modulation of fear extinction. Neuron. 111(19). 3053–3067.e10. 26 indexed citations
11.
12.
Farrell, Jordan S., Roberto Colangeli, Ao Dong, et al.. (2021). In vivo endocannabinoid dynamics at the timescale of physiological and pathological neural activity. Neuron. 109(15). 2398–2403.e4. 46 indexed citations
13.
Liput, Daniel J., Henry L. Puhl, Ao Dong, et al.. (2021). 2-Arachidonoylglycerol mobilization following brief synaptic stimulation in the dorsal lateral striatum requires glutamatergic and cholinergic neurotransmission. Neuropharmacology. 205. 108916–108916. 14 indexed citations
14.
Dong, Ao, Kaikai He, Barna Dudok, et al.. (2021). A fluorescent sensor for spatiotemporally resolved imaging of endocannabinoid dynamics in vivo. Nature Biotechnology. 40(5). 787–798. 112 indexed citations
15.
Xiang, Yaolei, Shenglin Huang, Tian‐Yun Huang, et al.. (2020). Superrepellency of underwater hierarchical structures on Salvinia leaf. Proceedings of the National Academy of Sciences. 117(5). 2282–2287. 120 indexed citations
16.
Dong, Ao, et al.. (2019). PARIS, an optogenetic method for functionally mapping gap junctions. eLife. 8. 24 indexed citations
17.
Feng, Jiesi, Changmei Zhang, Julieta E. Lischinsky, et al.. (2019). A Genetically Encoded Fluorescent Sensor for Rapid and Specific In Vivo Detection of Norepinephrine. Neuron. 102(4). 745–761.e8. 357 indexed citations breakdown →
18.
Dong, Ao, Simin Liu, & Yulong Li. (2018). Gap Junctions in the Nervous System: Probing Functional Connections Using New Imaging Approaches. Frontiers in Cellular Neuroscience. 12. 320–320. 24 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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