Gaohua Wang

16.4k total citations · 2 hit papers
183 papers, 9.5k citations indexed

About

Gaohua Wang is a scholar working on Cognitive Neuroscience, Biological Psychiatry and Molecular Biology. According to data from OpenAlex, Gaohua Wang has authored 183 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 42 papers in Biological Psychiatry and 34 papers in Molecular Biology. Recurrent topics in Gaohua Wang's work include Tryptophan and brain disorders (42 papers), Functional Brain Connectivity Studies (31 papers) and Stress Responses and Cortisol (26 papers). Gaohua Wang is often cited by papers focused on Tryptophan and brain disorders (42 papers), Functional Brain Connectivity Studies (31 papers) and Stress Responses and Cortisol (26 papers). Gaohua Wang collaborates with scholars based in China, United States and United Kingdom. Gaohua Wang's co-authors include Zhongchun Liu, Lihua Yao, Zhongxiang Cai, Ying Wang, Lijun Kang, Ruiting Li, Simeng Ma, Shaohua Hu, Huawei Tan and Hui Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Gaohua Wang

171 papers receiving 9.2k citations

Hit Papers

Factors Associated With Mental Health Outcomes Among Heal... 2020 2026 2022 2024 2020 2020 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaohua Wang China 30 6.0k 3.7k 1.2k 1.2k 968 183 9.5k
Manli Huang China 27 4.8k 0.8× 3.0k 0.8× 960 0.8× 965 0.8× 848 0.9× 115 7.5k
Ning Wei China 18 5.0k 0.8× 3.0k 0.8× 892 0.8× 936 0.8× 780 0.8× 39 6.8k
Jianbo Lai China 16 4.7k 0.8× 3.0k 0.8× 844 0.7× 924 0.8× 781 0.8× 90 6.5k
Qinge Zhang China 30 4.7k 0.8× 1.4k 0.4× 1.3k 1.1× 846 0.7× 380 0.4× 120 7.5k
Jiang Wu China 32 4.7k 0.8× 3.0k 0.8× 813 0.7× 947 0.8× 884 0.9× 137 8.0k
Laura B. Dunn United States 49 2.6k 0.4× 2.1k 0.6× 683 0.6× 399 0.3× 2.2k 2.2× 215 9.4k
Sube Banerjee United Kingdom 65 2.9k 0.5× 3.4k 0.9× 824 0.7× 1.1k 1.0× 437 0.5× 294 11.6k
Joseph J. Gallo United States 55 2.7k 0.5× 2.6k 0.7× 2.6k 2.2× 474 0.4× 373 0.4× 237 10.6k
Leanna M.W. Lui Canada 31 4.1k 0.7× 784 0.2× 1.1k 0.9× 478 0.4× 259 0.3× 77 7.1k
Ronan E. O’Carroll United Kingdom 58 3.0k 0.5× 1.4k 0.4× 1.2k 1.0× 386 0.3× 439 0.5× 265 11.2k

Countries citing papers authored by Gaohua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gaohua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaohua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gaohua Wang. A scholar is included among the top collaborators of Gaohua Wang 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 Gaohua Wang. Gaohua Wang 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.
Ge, Hailong, Chen Li, Limin Sun, et al.. (2025). The antidepressant effect of resveratrol may correlate with the anti-inflammatory pathways mediated by Tas2r123 in hippocampus. International Immunopharmacology. 156. 114670–114670. 1 indexed citations
2.
Chen, Guang‐Hui, Zhongyu Ren, Ling Xiao, et al.. (2025). Urolithin A ameliorates schizophrenia-like behaviors and cognitive impairments in female rats by modulating NLRP3 signaling. International Immunopharmacology. 151. 114336–114336. 4 indexed citations
3.
Huang, Zhengyuan, Zhongyu Ren, Ling Xiao, et al.. (2025). Urolithin A alleviates schizophrenic-like behaviors and cognitive impairment in rats through modulation of neuroinflammation, neurogenesis, and synaptic plasticity. Scientific Reports. 15(1). 10477–10477. 1 indexed citations
4.
Ge, Hailong, Chen Li, Limin Sun, et al.. (2025). Tas2r123-associated mitochondrial organization and neuroplasticity underlying the antidepressant effect of resveratrol. Brain Research Bulletin. 223. 111271–111271. 1 indexed citations
5.
Dong, Jin, Jiangqing Dong, Gaohua Wang, et al.. (2024). An artificially evolved gene for herbicide-resistant rice breeding. Proceedings of the National Academy of Sciences. 121(34). e2407285121–e2407285121. 8 indexed citations
6.
Wu, Zuotian, Yumeng Xie, Limin Sun, et al.. (2024). Maternal separation during lactation affects recognition memory, emotional behaviors, hippocampus and gut microbiota composition in C57BL6J adolescent female mice. Behavioural Brain Research. 476. 115249–115249. 1 indexed citations
8.
Dai, Lijun, Jiannan Wang, Xingyu Zhang, et al.. (2023). 27‐Hydroxycholesterol Drives the Spread of α‐Synuclein Pathology in Parkinson's Disease. Movement Disorders. 38(11). 2005–2018. 13 indexed citations
9.
Gao, Yujun, Xin Guo, Baoli Zhang, et al.. (2023). Frontoparietal network homogeneity as a biomarker for mania and remitted bipolar disorder and a predictor of early treatment response in bipolar mania patient. Journal of Affective Disorders. 339. 486–494. 12 indexed citations
11.
Han, Ying, Kai Yuan, Weijian Liu, et al.. (2021). Neuropsychiatric manifestations of COVID-19, potential neurotropic mechanisms, and therapeutic interventions. Translational Psychiatry. 11(1). 499–499. 44 indexed citations
12.
Guo, Xin, Robert A. McCutcheon, Toby Pillinger, et al.. (2021). Acute psychological impact of coronavirus disease 2019 outbreak among psychiatric professionals in China: a multicentre, cross-sectional, web-based study. BMJ Open. 11(5). e047828–e047828. 2 indexed citations
13.
Bian, Hetao, Gaohua Wang, Junjie Huang, et al.. (2020). Dihydrolipoic acid protects against lipopolysaccharide-induced behavioral deficits and neuroinflammation via regulation of Nrf2/HO-1/NLRP3 signaling in rat. Journal of Neuroinflammation. 17(1). 166–166. 85 indexed citations
15.
Yao, Tao, Gang Li, Qin Cui, et al.. (2019). Elevated plasma D-dimer levels are associated with short-term poor outcome in patients with acute ischemic stroke: a prospective, observational study. BMC Neurology. 19(1). 175–175. 27 indexed citations
16.
Yao, Tao, et al.. (2019). Metabolomic evidence for the therapeutic effect of gentiopicroside in a corticosterone-induced model of depression. Biomedicine & Pharmacotherapy. 120. 109549–109549. 18 indexed citations
17.
Cheng, Biheng, et al.. (2018). Characterization of PD-L1 expression and its prognostic value in patients with ovarian cancer. Translational Cancer Research. 7(5). 1271–1281. 6 indexed citations
18.
Liu, Zhongchun, Wanhong Liu, Lihua Yao, et al.. (2013). Negative life events and corticotropin-releasing-hormone receptor1 gene in recurrent major depressive disorder. Scientific Reports. 3(1). 1548–1548. 25 indexed citations
19.
Liu, Zhongchun, Wanhong Liu, Zheman Xiao, et al.. (2008). A major single nucleotide polymorphism of the PDLIM5 gene associated with recurrent major depressive disorder.. PubMed. 33(1). 43–6. 15 indexed citations
20.
Liu, Zhongchun, Fan Zhu, Gaohua Wang, et al.. (2006). Association of corticotropin-releasing hormone receptor1 gene SNP and haplotype with major depression. Neuroscience Letters. 404(3). 358–362. 118 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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