Qing‐Rong Liu
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Pharmacology top 0.1%
- Physiology top 2%
- Cognitive Neuroscience top 2%
- Co-authors
- George R. UhlSreekala MandiyanHannah NelsonNathan NelsonBeatriz López‐CorcueraEmmanuel S. OnaiviHiroki IshiguroDonna Walther
- Topics
- Neuroscience and Neuropharmacology Research (36 papers)Cannabis and Cannabinoid Research (36 papers)Neurotransmitter Receptor Influence on Behavior (28 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- 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
- Molecular Biology 3.5k
- Pharmacology 2.9k
- Physiology 1.3k
- Cognitive Neuroscience 1.2k
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 of co-authors of Qing‐Rong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Qing‐Rong Liu. A scholar is included among the top collaborators of Qing‐Rong Liu 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 Qing‐Rong Liu. Qing‐Rong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | Genetic association of lipids and lipid-lowering drug target genes with non-alcoholic fatty liver diseasebreakdown → | 66 |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 47 | |
| 14 | 120 | |
| 15 | 38 | |
| 16 | 17 | |
| 17 | 69 | |
| 18 | 45 | |
| 19 | 1 | |
| 20 | 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) and Neurotransmitter Receptor Influence on Behavior (28 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.