Zhao-Hui Song
- Pharmacology top 0.5%
- Cannabis and Cannabinoid Research 36
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- Neurotransmitter Receptor Influence on Behavior 13
- Neuroscience and Neuropharmacology Research 11
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis 3
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep 3
- Ophthalmology top 5%
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- Pancreatic function and diabetes 10
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- Receptor Mechanisms and Signaling 8
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- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Tom I. BonnerKevin BrownMiao ZhongZhuanhong QiaoPatricia H. ReggioDow P. HurstAkhilesh KumarJian Cai
- Partner nations
- United StatesChina
In The Last Decade
Zhao-Hui Song
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Pharmacology 929
- Cellular and Molecular Neuroscience 590
- Toxicology 76
- Endocrine and Autonomic Systems 81
- Ophthalmology 81
Countries citing papers authored by Zhao-Hui Song
This map shows the geographic impact of Zhao-Hui Song'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 Zhao-Hui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao-Hui Song more than expected).
Fields of papers citing papers by Zhao-Hui Song
This network shows the impact of papers produced by Zhao-Hui Song. 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 Zhao-Hui Song. The network helps show where Zhao-Hui Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhao-Hui Song, 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 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 18 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 3 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 111 | |
| 11 | 2014 | 28 | |
| 12 | 2013 | 25 | |
| 13 | 2012 | 24 | |
| 14 | 2012 | 2 | |
| 15 | 2012 | 7 | |
| 16 | 2008 | 18 | |
| 17 | CB1 cannabinoid receptor-mediated changes of trabecular meshwork cellular properties. | 2006 | 12 |
| 18 | 2006 | 33 | |
| 19 | 2006 | 13 | |
| 20 | 2004 | 24 |
About Zhao-Hui Song
Zhao-Hui Song is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Toxicology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (36 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (11 papers), Pancreatic function and diabetes (10 papers), Receptor Mechanisms and Signaling (8 papers), Forensic Toxicology and Drug Analysis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Pharmacology (929 citations), Cellular and Molecular Neuroscience (590 citations) and Toxicology (76 citations). Zhao-Hui Song has collaborated with scholars based in United States and China. Frequent co-authors include Tom I. Bonner, Kevin Brown, Miao Zhong, Zhuanhong Qiao, Patricia H. Reggio, Dow P. Hurst, Akhilesh Kumar, Jian Cai, Judy Barnett‐Norris and Wenke Feng. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.
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.