Jing Dai

724 total citations
28 papers, 527 citations indexed

About

Jing Dai is a scholar working on Cellular and Molecular Neuroscience, Surgery and Molecular Biology. According to data from OpenAlex, Jing Dai has authored 28 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Jing Dai's work include Neuroscience and Neuropharmacology Research (8 papers), Coronary Interventions and Diagnostics (5 papers) and Receptor Mechanisms and Signaling (5 papers). Jing Dai is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Coronary Interventions and Diagnostics (5 papers) and Receptor Mechanisms and Signaling (5 papers). Jing Dai collaborates with scholars based in China, United States and Spain. Jing Dai's co-authors include James Doherty, Yi Zhang, C. Q. Tang, Ethan Hoffmann, Michael A. Ackley, Albert J. Robichaud, Francesco G. Salituro, Michael C. Quirk, Gabriel M. Belfort and Alison L. Althaus and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Jing Dai

25 papers receiving 512 citations

Peers

Jing Dai
Ling Zhao China
Jing Dai
Citations per year, relative to Jing Dai Jing Dai (= 1×) peers Ling Zhao

Countries citing papers authored by Jing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Dai. A scholar is included among the top collaborators of Jing Dai 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 Jing Dai. Jing Dai 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.
Dai, Jing, Yan Zha, Haijuan Hu, et al.. (2025). Piezo1 activation protects against sepsis-induced myocardial dysfunction in a pilot study. Scientific Reports. 15(1). 15975–15975. 4 indexed citations
2.
Wang, Zhi, et al.. (2025). Advance on Blast-Induced Traumatic Brain Injury. World Neurosurgery. 199. 124115–124115.
3.
Yu, Jiaqi, Yuhui Yan, Lei Jing, et al.. (2025). The niacin receptor HCAR2 prevents sleep deprivation-induced cognitive impairment by inhibiting microglia-mediated neuroinflammation in mice. International Immunopharmacology. 162. 115174–115174.
4.
Gray, Sarah M., Jing Dai, Anne C. Smith, et al.. (2024). Changes in 24(S)-Hydroxycholesterol Are Associated with Cognitive Performance in Early Huntington’s Disease: Data from the TRACK and ENROLL HD Cohorts. Journal of Huntington s Disease. 13(4). 449–465. 5 indexed citations
7.
Hill, Matthew D., María‐Jesús Blanco, Francesco G. Salituro, et al.. (2022). SAGE-718: A First-in-ClassN-Methyl-d-Aspartate Receptor Positive Allosteric Modulator for the Potential Treatment of Cognitive Impairment. Journal of Medicinal Chemistry. 65(13). 9063–9075. 28 indexed citations
8.
Dai, Jing, et al.. (2021). Oral Pregabalin in Cardiac Surgery: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials. BioMed Research International. 2021(1). 8835891–8835891. 6 indexed citations
9.
Dai, Jing, Xue Li, Lei Dai, et al.. (2021). Repeated neonatal sevoflurane induced neurocognitive impairment through NF-κB-mediated pyroptosis. Journal of Neuroinflammation. 18(1). 180–180. 29 indexed citations
10.
Dai, Jing, et al.. (2020). Caudal dexmedetomidine in pediatric caudal anesthesia. Medicine. 99(31). e21397–e21397. 9 indexed citations
11.
Lewis, Michael, Jing Dai, Amrita Mohan, et al.. (2020). 24(S)-Hydroxycholesterol Levels are Decreased in Early Huntington’s Disease and Are Associated with Deficits in Several Cognitive Domains (4070). Neurology. 94(15_supplement). 4 indexed citations
12.
Popiolek, Michael, Yukitoshi Izumi, Allen T. Hopper, et al.. (2020). Effects of CYP46A1 Inhibition on Long-Term-Depression in Hippocampal Slices ex vivo and 24S-Hydroxycholesterol Levels in Mice in vivo. Frontiers in Molecular Neuroscience. 13. 568641–568641. 21 indexed citations
13.
Cui, Kongyong, Xiantao Song, Hong Liu, et al.. (2019). Long-term outcomes of in-hospital staged revascularization versus culprit-only intervention for patients with ST-segment elevation myocardial infarction and multivessel disease. Coronary Artery Disease. 30(3). 188–195. 1 indexed citations
14.
Li, Wenzhu, Yi Yang, Kun Liu, et al.. (2018). FGL2 prothrombinase contributes to the early stage of coronary microvascular obstruction through a fibrin-dependent pathway. International Journal of Cardiology. 274. 27–34. 17 indexed citations
15.
Youngblood, Brad, Yukie Ueyama, William W. Muir, et al.. (2018). A new method for determining levels of sedation in dogs: A pilot study with propofol and a novel neuroactive steroid anesthetic. Journal of Neuroscience Methods. 305. 82–88. 3 indexed citations
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Qin, Zheng, et al.. (2015). Effects of steam on the reactivity and microstructure of char from in-situ gasification of brown coal. eSpace (Curtin University). 43(5). 546–553. 1 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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