Qing‐Rong Liu
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 36
- Neurotransmitter Receptor Influence on Behavior 28
- Nerve injury and regeneration 7
- Pharmacology top 0.1%
- Cannabis and Cannabinoid Research 36
- Developmental Neuroscience top 0.5%
- Biological Psychiatry top 1%
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- Cardiac Valve Diseases and Treatments 18
- Cardiovascular Function and Risk Factors 10
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- Pancreatic function and diabetes 13
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- Genetic Associations and Epidemiology 12
- Co-authors
- George R. UhlSreekala MandiyanHannah NelsonNathan NelsonBeatriz López‐CorcueraEmmanuel S. OnaiviHiroki IshiguroDonna Walther
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Qing‐Rong Liu
164 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Cellular and Molecular Neuroscience 4.4k
- Pharmacology 2.9k
- Developmental Neuroscience 537
- Biological Psychiatry 315
- Endocrine and Autonomic Systems 577
Countries citing papers authored by Qing‐Rong Liu
This map shows the geographic impact of Qing‐Rong Liu'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 Qing‐Rong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing‐Rong Liu more than expected).
Fields of papers citing papers by Qing‐Rong Liu
This network shows the impact of papers produced by Qing‐Rong Liu. 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 Qing‐Rong Liu. The network helps show where Qing‐Rong Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing‐Rong Liu, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | Genetic association of lipids and lipid-lowering drug target genes with non-alcoholic fatty liver diseasebreakdown → | 2023 | 66 |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2021 | 15 | |
| 13 | 2019 | 47 | |
| 14 | 2016 | 120 | |
| 15 | 2013 | 38 | |
| 16 | 2009 | 17 | |
| 17 | 2008 | 69 | |
| 18 | 2008 | 45 | |
| 19 | 2006 | 1 | |
| 20 | 2005 | 5 |
About Qing‐Rong Liu
Qing‐Rong Liu is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Developmental Neuroscience, having authored 172 papers that have together received 10.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (36 papers), Cannabis and Cannabinoid Research (36 papers), Neurotransmitter Receptor Influence on Behavior (28 papers), Cardiac Valve Diseases and Treatments (18 papers), Pancreatic function and diabetes (13 papers), Genetic Associations and Epidemiology (12 papers), Cardiovascular Function and Risk Factors (10 papers) and Nerve injury and regeneration (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.4k citations), Pharmacology (2.9k citations) and Developmental Neuroscience (537 citations). Qing‐Rong Liu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include George R. Uhl, Sreekala Mandiyan, Hannah Nelson, Nathan Nelson, Beatriz López‐Corcuera, Emmanuel S. Onaivi, Hiroki Ishiguro, Donna Walther, Tomás Drgon and Zheng‐Xiong Xi. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.