Guo-Hua Bi
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- Neurotransmitter Receptor Influence on Behavior 17
- Neuroscience and Neuropharmacology Research 10
- Neuropeptides and Animal Physiology 2
- Pharmacology top 1%
- Cannabis and Cannabinoid Research 6
- Treatment of Major Depression 2
- Toxicology top 5%
- Biological Psychiatry top 10%
- Cognitive Neuroscience top 10%
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- Receptor Mechanisms and Signaling 7
- Pharmacological Receptor Mechanisms and Effects 1
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- Pain Mechanisms and Treatments 3
- Co-authors
- Zheng‐Xiong XiEliot L. GardnerHai‐Ying ZhangQing‐Rong LiuRui SongXia LiXiao‐Qing PengJie Wu
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Neuroscience (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Guo-Hua Bi
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 930
- Pharmacology 736
- Toxicology 55
- Biological Psychiatry 38
- Cognitive Neuroscience 240
Countries citing papers authored by Guo-Hua Bi
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
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
The 25 scholars most cited alongside Guo-Hua Bi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 6 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 32 | |
| 6 | 2018 | 61 | |
| 7 | 2018 | 35 | |
| 8 | 2017 | 28 | |
| 9 | 2017 | 19 | |
| 10 | 2017 | 48 | |
| 11 | 2016 | 16 | |
| 12 | 2016 | 13 | |
| 13 | 2016 | 55 | |
| 14 | 2014 | 111 | |
| 15 | 2014 | 278 | |
| 16 | 2013 | 35 | |
| 17 | 2012 | 65 | |
| 18 | 2011 | 311 |
About Guo-Hua Bi
Guo-Hua Bi is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (17 papers), Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (7 papers), Cannabis and Cannabinoid Research (6 papers), Pain Mechanisms and Treatments (3 papers), Treatment of Major Depression (2 papers), Neuropeptides and Animal Physiology (2 papers) and Pharmacological Receptor Mechanisms and Effects (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (930 citations), Pharmacology (736 citations) and Toxicology (55 citations). Guo-Hua Bi has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Zheng‐Xiong Xi, Eliot L. Gardner, Hai‐Ying Zhang, Qing‐Rong Liu, Rui Song, Xia Li, Xiao‐Qing Peng, Jie Wu, Jie Li and Xia Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.
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.