Daqing Liao
Impact in
- Developmental Neuroscience top 5%
- Anesthesia and Neurotoxicity Research
- Anesthesiology and Pain Medicine top 10%
- Anesthesia and Sedative Agents
Papers in
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- Neuropeptides and Animal Physiology 5
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- Anesthesia and Neurotoxicity Research 5
- Co-authors
- Jin Liu (17 shared papers)Cheng Zhou (15 shared papers)Jie-Fei Shen (6 shared papers)Jiu Lin (5 shared papers)Fei Liu (4 shared papers)Ning Song (3 shared papers)Hang Wang (3 shared papers)Xiangdong Chen (7 shared papers)
In The Last Decade
Daqing Liao
31 papers receiving 483 citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 88
- Anesthesiology and Pain Medicine 50
- Cellular and Molecular Neuroscience 138
- Critical Care and Intensive Care Medicine 34
- Physiology 33
Countries citing papers authored by Daqing Liao
This map shows the geographic impact of Daqing Liao'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 Daqing Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqing Liao more than expected).
Fields of papers citing papers by Daqing Liao
This network shows the impact of papers produced by Daqing Liao. 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 Daqing Liao. The network helps show where Daqing Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqing Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2022 | 54 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 33 | |
| 6 | 2020 | 27 | |
| 7 | 2019 | 23 | |
| 8 | 2013 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2014 | 15 | |
| 11 | 2013 | 13 | |
| 12 | 2011 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2008 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2007 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2014 | 8 |
About Daqing Liao
Daqing Liao is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Anesthesiology and Pain Medicine, Physiology and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 488 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Ion channel regulation and function (5 papers), Anesthesia and Neurotoxicity Research (5 papers), Neuropeptides and Animal Physiology (5 papers), Anesthesia and Pain Management (4 papers), Anesthesia and Sedative Agents (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Intensive Care Unit Cognitive Disorders (3 papers). The work is most often cited by research in Developmental Neuroscience (88 citations), Anesthesiology and Pain Medicine (50 citations), Cellular and Molecular Neuroscience (138 citations), Critical Care and Intensive Care Medicine (34 citations) and Physiology (33 citations). Daqing Liao has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Jin Liu, Cheng Zhou, Jie-Fei Shen, Jiu Lin, Fei Liu, Ning Song, Hang Wang, Xiangdong Chen, Yanyan Zhang and Peng Liang. Their work appears in journals such as Regional Anesthesia & Pain Medicine, PLoS ONE, Anesthesiology, BMC Neuroscience and PeerJ.
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.