Guo‐Hua Bi

1.7k total citations
48 papers, 1.2k citations indexed

About

Guo‐Hua Bi is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Molecular Biology. According to data from OpenAlex, Guo‐Hua Bi has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 21 papers in Pharmacology and 16 papers in Molecular Biology. Recurrent topics in Guo‐Hua Bi's work include Neurotransmitter Receptor Influence on Behavior (35 papers), Cannabis and Cannabinoid Research (21 papers) and Neuroscience and Neuropharmacology Research (16 papers). Guo‐Hua Bi is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (35 papers), Cannabis and Cannabinoid Research (21 papers) and Neuroscience and Neuropharmacology Research (16 papers). Guo‐Hua Bi collaborates with scholars based in United States, China and United Kingdom. Guo‐Hua Bi's co-authors include Zheng‐Xiong Xi, Ewa Galaj, Eliot L. Gardner, Yi He, Hongju Yang, Chloe J. Jordan, Hui Shen, Yang Zheng, Hai‐Ying Zhang and Lin Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The FASEB Journal.

In The Last Decade

Guo‐Hua Bi

46 papers receiving 1.1k citations

Peers

Guo‐Hua Bi
Ewa Galaj United States
Guo‐Hua Bi
Citations per year, relative to Guo‐Hua Bi Guo‐Hua Bi (= 1×) peers Ewa Galaj

Countries citing papers authored by Guo‐Hua Bi

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Hua Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Hua Bi. 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 Guo‐Hua Bi. The network helps show where Guo‐Hua Bi may publish in the future.

Co-authorship network of co-authors of Guo‐Hua Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Hua Bi. A scholar is included among the top collaborators of Guo‐Hua Bi 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 Guo‐Hua Bi. Guo‐Hua Bi 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.
Soler‐Cedeño, Omar, et al.. (2025). ESG‐1‐60 and ESG‐1‐61: Novel dopamine D3 receptor‐preferring partial agonists/antagonists that inhibit cocaine taking and seeking in rodents. British Journal of Pharmacology. 182(13). 2997–3016. 1 indexed citations
2.
Soler‐Cedeño, Omar, Hai‐Ying Zhang, Guo‐Hua Bi, et al.. (2025). Brain CB2 receptor: a new target in medication development for treating opioid use disorder in rodents. Molecular Psychiatry. 31(4). 2351–2364.
3.
Wang, Zhaolin, Yingying Wang, & Guo‐Hua Bi. (2025). How does the three rights separation of rural homestead (TRSRH) impact farmers’ sense of gain: Evidence from typical pilot areas for rural homestead reform in China. Land Use Policy. 155. 107591–107591. 4 indexed citations
4.
Soler‐Cedeño, Omar, et al.. (2024). AM6527, a neutral CB1 receptor antagonist, suppresses opioid taking and seeking, as well as cocaine seeking in rodents without aversive effects. Neuropsychopharmacology. 49(11). 1678–1688. 6 indexed citations
5.
Galaj, Ewa, Guo‐Hua Bi, & Zheng‐Xiong Xi. (2024). β-caryophyllene inhibits heroin self-administration, but does not alter opioid-induced antinociception in rodents. Neuropharmacology. 252. 109947–109947. 3 indexed citations
6.
You, Zhi‐Bing, Eliot L. Gardner, Ewa Galaj, et al.. (2022). Involvement of the ghrelin system in the maintenance of oxycodone self-administration: converging evidence from endocrine, pharmacologic and transgenic approaches. Molecular Psychiatry. 27(4). 2171–2181. 13 indexed citations
7.
He, Yi, Graziella Madeo, Ying Liang, et al.. (2022). A red nucleus–VTA glutamate pathway underlies exercise reward and the therapeutic effect of exercise on cocaine use. Science Advances. 8(35). eabo1440–eabo1440. 14 indexed citations
8.
Humburg, Bree A., Chloe J. Jordan, Hai‐Ying Zhang, et al.. (2021). Optogenetic brain‐stimulation reward: A new procedure to re‐evaluate the rewarding versus aversive effects of cannabinoids in dopamine transporter‐Cre mice. Addiction Biology. 26(4). e13005–e13005. 22 indexed citations
9.
You, Zhi‐Bing, Ewa Galaj, Francisco Alén, et al.. (2021). Involvement of the ghrelin system in the maintenance and reinstatement of cocaine-motivated behaviors: a role of adrenergic action at peripheral β1 receptors. Neuropsychopharmacology. 47(8). 1449–1460. 18 indexed citations
10.
He, Xianghu, Ewa Galaj, Guo‐Hua Bi, et al.. (2021). β-caryophyllene, an FDA-Approved Food Additive, Inhibits Methamphetamine-Taking and Methamphetamine-Seeking Behaviors Possibly via CB2 and Non-CB2 Receptor Mechanisms. Frontiers in Pharmacology. 12. 722476–722476. 23 indexed citations
11.
Zhang, Hai‐Ying, Hui Shen, Ming Gao, et al.. (2021). Cannabinoid CB2 receptors are expressed in glutamate neurons in the red nucleus and functionally modulate motor behavior in mice. Neuropharmacology. 189. 108538–108538. 23 indexed citations
12.
Jordan, Chloe J., Yi He, Guo‐Hua Bi, et al.. (2020). (±)VK4‐40, a novel dopamine D3 receptor partial agonist, attenuates cocaine reward and relapse in rodents. British Journal of Pharmacology. 177(20). 4796–4807. 18 indexed citations
13.
Mereu, Maddalena, Takato Hiranita, Chloe J. Jordan, et al.. (2020). Modafinil potentiates cocaine self-administration by a dopamine-independent mechanism: possible involvement of gap junctions. Neuropsychopharmacology. 45(9). 1518–1526. 15 indexed citations
14.
Galaj, Ewa, Xiao Han, Hui Shen, et al.. (2020). Dissecting the Role of GABA Neurons in the VTAversusSNr in Opioid Reward. Journal of Neuroscience. 40(46). 8853–8869. 66 indexed citations
15.
Spiller, Krista J., Guo‐Hua Bi, Yi He, et al.. (2019). Cannabinoid CB1 and CB2 receptor mechanisms underlie cannabis reward and aversion in rats. British Journal of Pharmacology. 176(9). 1268–1281. 50 indexed citations
16.
Newman, Amy Hauck, Jianjing Cao, Jacqueline D. Keighron, et al.. (2019). Translating the atypical dopamine uptake inhibitor hypothesis toward therapeutics for treatment of psychostimulant use disorders. Neuropsychopharmacology. 44(8). 1435–1444. 35 indexed citations
17.
Gao, J, Chloe J. Jordan, Guo‐Hua Bi, et al.. (2018). Deletion of the type 2 metabotropic glutamate receptor increases heroin abuse vulnerability in transgenic rats. Neuropsychopharmacology. 43(13). 2615–2626. 16 indexed citations
18.
Zhan, Jia, Chloe J. Jordan, Guo‐Hua Bi, et al.. (2018). Genetic deletion of the dopamine D3 receptor increases vulnerability to heroin in mice. Neuropharmacology. 141. 11–20. 22 indexed citations
19.
Zhang, Hai‐Ying, Ming Gao, Hui Shen, et al.. (2016). Expression of functional cannabinoid CB 2 receptor in VTA dopamine neurons in rats. Addiction Biology. 22(3). 752–765. 120 indexed citations
20.
Fu, Liping, Guo‐Hua Bi, Zhitong Zou, et al.. (2008). Impaired response inhibition function in abstinent heroin dependents: An fMRI study. Neuroscience Letters. 438(3). 322–326. 151 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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