Zaiquan Dong

1.6k total citations
59 papers, 1.1k citations indexed

About

Zaiquan Dong is a scholar working on Molecular Biology, Biological Psychiatry and Psychiatry and Mental health. According to data from OpenAlex, Zaiquan Dong has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 19 papers in Biological Psychiatry and 12 papers in Psychiatry and Mental health. Recurrent topics in Zaiquan Dong's work include Tryptophan and brain disorders (19 papers), Gut microbiota and health (13 papers) and Psychosomatic Disorders and Their Treatments (9 papers). Zaiquan Dong is often cited by papers focused on Tryptophan and brain disorders (19 papers), Gut microbiota and health (13 papers) and Psychosomatic Disorders and Their Treatments (9 papers). Zaiquan Dong collaborates with scholars based in China, United Kingdom and Germany. Zaiquan Dong's co-authors include Qiang Peng, Weihong Kuang, Xiaoling Shen, Yanni Hao, Wenlong Huang, Lan Zhang, Fang Liu, Yuan Gao, Jing Ma and Jin Li and has published in prestigious journals such as Annals of the New York Academy of Sciences, Neuroscience & Biobehavioral Reviews and Cerebral Cortex.

In The Last Decade

Zaiquan Dong

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaiquan Dong China 20 349 211 191 147 128 59 1.1k
Miguel Ángel Álvarez-Mon Spain 23 486 1.4× 213 1.0× 195 1.0× 299 2.0× 143 1.1× 121 2.0k
Sheng Tu China 20 436 1.2× 96 0.5× 197 1.0× 207 1.4× 99 0.8× 45 2.1k
Margaretha Viljoen South Africa 18 256 0.7× 44 0.2× 101 0.5× 125 0.9× 165 1.3× 67 1.7k
Sandra J. Wallner‐Liebmann Austria 22 118 0.3× 106 0.5× 226 1.2× 181 1.2× 220 1.7× 44 1.1k
Ciara Kelly Ireland 15 320 0.9× 49 0.2× 204 1.1× 259 1.8× 327 2.6× 35 1.3k
Adarsh Kumar India 20 139 0.4× 140 0.7× 87 0.5× 90 0.6× 135 1.1× 97 1.5k
Simmie L. Foster United States 17 488 1.4× 95 0.5× 61 0.3× 264 1.8× 125 1.0× 29 2.0k
Donna O. McCarthy United States 31 477 1.4× 197 0.9× 106 0.6× 576 3.9× 216 1.7× 77 2.4k
Farideh Eskandari United States 10 124 0.4× 160 0.8× 55 0.3× 149 1.0× 90 0.7× 12 964

Countries citing papers authored by Zaiquan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Zaiquan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiquan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiquan Dong. A scholar is included among the top collaborators of Zaiquan 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 Zaiquan Dong. Zaiquan 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.
Sun, Xueli, et al.. (2025). Gut microbiota, circadian rhythms and their interactions: implications for the pathogenesis and treatment of depression. Annals of Medicine. 57(1). 2561222–2561222. 1 indexed citations
2.
Dong, Zaiquan, et al.. (2024). Exosomes: potential targets for the diagnosis and treatment of neuropsychiatric disorders. Journal of Translational Medicine. 22(1). 115–115. 12 indexed citations
3.
Zhu, Hanwen, et al.. (2024). Baseline gut microbiota profiles affect treatment response in patients with depression. Frontiers in Microbiology. 15. 1429116–1429116. 2 indexed citations
4.
Wei, Jinxue, Zijian Zhang, Xiao Yang, et al.. (2024). Abnormal functional connectivity within the prefrontal cortex is associated with multiple plasma lipid species in major depressive disorder. Journal of Affective Disorders. 350. 713–720. 3 indexed citations
5.
Dong, Zaiquan, Ke Han, Xiaoling Shen, et al.. (2024). Core antibiotic resistance genes mediate gut microbiota to intervene in the treatment of major depressive disorder. Journal of Affective Disorders. 363. 507–519. 2 indexed citations
6.
Dong, Zaiquan, et al.. (2024). Relationship between human oral microbiome dysbiosis and neuropsychiatric diseases: An updated overview. Behavioural Brain Research. 471. 115111–115111. 19 indexed citations
7.
Dong, Zaiquan, Jing Zhou, Samuel J. Westwood, et al.. (2023). Association between alexithymia and non-suicidal self-injury in psychiatric patients: the mediating role of self-esteem and the moderating role of emotional intelligence. Journal of Psychiatric Research. 162. 57–64. 11 indexed citations
8.
Kuang, Weihong, et al.. (2023). Interactions Between Antidepressants and Intestinal Microbiota. Neurotherapeutics. 20(2). 359–371. 24 indexed citations
9.
Zhao, Rui, et al.. (2023). Gut microbes influence the development of central nervous system disorders through epigenetic inheritance. Microbiological Research. 274. 127440–127440. 15 indexed citations
10.
Shen, Sisi, Zaiquan Dong, Josemir W. Sander, Dong Zhou, & Jinmei Li. (2022). Somatic symptoms and related disorders in a large cohort of people with epilepsy: A cohort study. Epilepsia. 64(2). 320–334. 8 indexed citations
11.
Dong, Zaiquan, et al.. (2022). Plasma levels of interleukin‐8 and response to paroxetine in patients with major depressive disorder. Human Psychopharmacology Clinical and Experimental. 37(6). e2855–e2855. 1 indexed citations
12.
Dong, Zaiquan, Xiaoling Shen, Yanni Hao, et al.. (2022). Gut microbiome: A potential indicator for predicting treatment outcomes in major depressive disorder. Frontiers in Neuroscience. 16. 813075–813075. 49 indexed citations
13.
Zhang, Hang, Fang Deng, Xiaolan Wang, et al.. (2021). Associations between childhood chronic stress and dynamic functional connectivity in drug-naïve, first-episode adolescent MDD. Journal of Affective Disorders. 299. 85–92. 5 indexed citations
14.
15.
Zeng, Jianguang, et al.. (2021). Neurobiological correlates of cue-reactivity in alcohol-use disorders: A voxel-wise meta-analysis of fMRI studies. Neuroscience & Biobehavioral Reviews. 128. 294–310. 73 indexed citations
16.
Dong, Zaiquan, Jing Ma, Yanni Hao, et al.. (2020). The social psychological impact of the COVID-19 pandemic on medical staff in China: A cross-sectional study. European Psychiatry. 63(1). e65–e65. 105 indexed citations
17.
Kuang, Weihong, et al.. (2018). IGF‐1 defends against chronic‐stress induced depression in rat models of chronic unpredictable mild stress through the PI3K/Akt/FoxO3a pathway. The Kaohsiung Journal of Medical Sciences. 34(7). 370–376. 28 indexed citations
18.
Sun, Xueli, Xirong Li, Lin He, et al.. (2016). <em>5-HTR1A</em> and <em>5-HTR2A </em>genetic polymorphisms and SSRI antidepressant response in depressive Chinese patients. Neuropsychiatric Disease and Treatment. Volume 12. 1623–1629. 19 indexed citations
19.
Li, Xin, Tao Yu, Yanfei Cao, et al.. (2014). SLC17A7 Gene May Be the Indicator of Selective Serotonin Reuptake Inhibitor Treatment Response in the Chinese Han Population. Journal of Clinical Psychopharmacology. 34(3). 331–336. 7 indexed citations
20.
Yu, Tao, Xin Li, Yanfei Cao, et al.. (2013). ABCB6 , ABCB1 and ABCG1 Genetic Polymorphisms and Antidepressant Response of SSRIs in Chinese Depressive Patients. Pharmacogenomics. 14(14). 1723–1730. 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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