Yu Dong

755 total citations
23 papers, 558 citations indexed

About

Yu Dong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, Yu Dong has authored 23 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Ophthalmology. Recurrent topics in Yu Dong's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Receptor Mechanisms and Signaling (4 papers). Yu Dong is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Receptor Mechanisms and Signaling (4 papers). Yu Dong collaborates with scholars based in China, United States and Spain. Yu Dong's co-authors include John A. Dani, William M. Doyon, Alexey Ostroumov, Lifen Zhang, Alyse M. Thomas, Peng Zhang, Dadong Zhang, Wei Hu, Ke Liang and Lei Pang and has published in prestigious journals such as Neuron, Biological Psychiatry and Biochemical Pharmacology.

In The Last Decade

Yu Dong

23 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Dong China 13 316 182 79 77 62 23 558
Rajaneesh K. Gupta India 12 240 0.8× 92 0.5× 67 0.8× 18 0.2× 28 0.5× 19 540
Gregory Demopulos Italy 13 223 0.7× 225 1.2× 123 1.6× 8 0.1× 166 2.7× 26 756
Ximena Castillo Switzerland 7 155 0.5× 118 0.6× 72 0.9× 29 0.4× 17 0.3× 13 367
Jaana Kallio Finland 16 368 1.2× 331 1.8× 98 1.2× 8 0.1× 42 0.7× 29 790
Jose Martinez Spain 13 115 0.4× 202 1.1× 44 0.6× 18 0.2× 19 0.3× 32 565
Shi‐Hua Lin United States 14 290 0.9× 109 0.6× 101 1.3× 16 0.2× 8 0.1× 27 735
Tino Emanuele Poloni Italy 17 146 0.5× 45 0.2× 98 1.2× 21 0.3× 89 1.4× 54 695
Bianca A. Trombetta United States 14 223 0.7× 68 0.4× 221 2.8× 32 0.4× 21 0.3× 31 543
Guangyu Zhang United States 13 197 0.6× 48 0.3× 121 1.5× 47 0.6× 39 0.6× 29 614

Countries citing papers authored by Yu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Dong. A scholar is included among the top collaborators of Yu 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 Yu Dong. Yu Dong 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.
Zhu, Ruixin, Yu Dong, Jie Guo, et al.. (2025). From prediction of personalized metabolic responses to foods to computational nutrition: Concepts of an emerging interdisciplinary field. Clinical Nutrition. 55. 11–23. 1 indexed citations
2.
Zhang, Chao, Peng Qian, Chengcheng Wang, et al.. (2024). Resveratrol ameliorates glioblastoma inflammatory response by reducing NLRP3 inflammasome activation through inhibition of the JAK2/STAT3 pathway. Journal of Cancer Research and Clinical Oncology. 150(3). 168–168. 23 indexed citations
3.
Yang, Min, Fang Zhang, Kaiqi Wu, et al.. (2023). Müllerian Duct Anomalies and Anti-Müllerian Hormone Levels in Women With Polycystic Ovary Syndrome. Cureus. 15(8). e43848–e43848. 2 indexed citations
4.
Zhang, Xiaowei, et al.. (2020). Knockdown of TRAP1 promotes cisplatin-induced apoptosis by promoting the ROS-dependent mitochondrial dysfunction in lung cancer cells. Molecular and Cellular Biochemistry. 476(2). 1075–1082. 13 indexed citations
5.
Guo, Wei, Yu Dong, Qian Zhang, et al.. (2020). A Survey for COVID-19 Among HIV/AIDS Patients in Two Districts of Wuhan, China. SSRN Electronic Journal. 65 indexed citations
6.
7.
Li, Qian, Lei Pang, Hui Shi, et al.. (2018). High glucose concentration induces retinal endothelial cell apoptosis by activating p53 signaling pathway.. PubMed. 11(5). 2401–2407. 10 indexed citations
8.
9.
Lu, Cheng‐Wei, et al.. (2017). Fungal chorioretinitis with systemic candidiasis in an infant following treatment with broad spectrum antibiotics: A case report. Experimental and Therapeutic Medicine. 14(1). 286–288. 3 indexed citations
10.
Dong, Yu, et al.. (2017). LncRNA Gm15290 Promotes Cell Proliferation and Invasion in Non-Small Cell Lung Cancer Through Directly Interacting With and Suppressing the Tumor Suppressor miR-615-5p. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 14 indexed citations
11.
Zhao, Hongwei, Jun Zhao, Jingnan Liang, et al.. (2016). Effect of long-term weightlessness on retina and optic nerve in tail-suspension rats. International Journal of Ophthalmology. 9(6). 825–30. 8 indexed citations
12.
Wang, Jing & Yu Dong. (2016). Characterization of intraocular pressure pattern and changes of retinal ganglion cells in DBA2J glaucoma mice. International Journal of Ophthalmology. 9(2). 211–7. 10 indexed citations
13.
Zhang, Peng, et al.. (2015). TRAP1 Provides Protection Against Myocardial Ischemia-Reperfusion Injury by Ameliorating Mitochondrial Dysfunction. Cellular Physiology and Biochemistry. 36(5). 2072–2082. 50 indexed citations
14.
Dong, Yu, et al.. (2015). Relationship between mean platelet volume and retinopathy of prematurity. Graefe s Archive for Clinical and Experimental Ophthalmology. 253(10). 1791–1794. 20 indexed citations
15.
Dong, Yu, et al.. (2014). Treatment outcome for retinopathy of premeturity by 810 nm diode laser photocoagulation. 32(2). 210–212. 1 indexed citations
16.
Doyon, William M., et al.. (2013). Nicotine Decreases Ethanol-Induced Dopamine Signaling and Increases Self-Administration via Stress Hormones. Neuron. 79(3). 530–540. 76 indexed citations
17.
Dong, Yu, John A. Dani, & Randy Blakely. (2013). Choline transporter hemizygosity results in diminished basal extracellular dopamine levels in nucleus accumbens and blunts dopamine elevations following cocaine or nicotine. Biochemical Pharmacology. 86(8). 1084–1088. 12 indexed citations
18.
Doyon, William M., Alyse M. Thomas, Alexey Ostroumov, Yu Dong, & John A. Dani. (2013). Potential substrates for nicotine and alcohol interactions: A focus on the mesocorticolimbic dopamine system. Biochemical Pharmacology. 86(8). 1181–1193. 64 indexed citations
19.
Zhang, Lifen, Yu Dong, William M. Doyon, & John A. Dani. (2011). Withdrawal from Chronic Nicotine Exposure Alters Dopamine Signaling Dynamics in the Nucleus Accumbens. Biological Psychiatry. 71(3). 184–191. 100 indexed citations
20.
Dong, Yu, Tianxiang Zhang, Wei Li, William M. Doyon, & John A. Dani. (2009). Route of Nicotine Administration Influences In Vivo Dopamine Neuron Activity: Habituation, Needle Injection, and Cannula Infusion. Journal of Molecular Neuroscience. 40(1-2). 164–171. 20 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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