Chaoling Qu
Impact in
- Physiology top 2%
- Pain Mechanisms and Treatments
-
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
Papers in
- Physiology 26
- Pain Mechanisms and Treatments 26
-
- Neuropeptides and Animal Physiology 9
- Neurotransmitter Receptor Influence on Behavior 6
- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Frank Porreca (15 shared papers)Alec Okun (5 shared papers)Edita Navratilova (8 shared papers)Tamara E. King (5 shared papers)Jennifer Yanhua Xie (11 shared papers)Jing‐Shi Tang (10 shared papers)Howard L. Fields (3 shared papers)Fu‐Quan Huo (8 shared papers)
- Journals
- Pain (13 papers)Experimental Neurology (2 papers)Brain Research (1 paper)Journal of Neuroscience (1 paper)Progress in Neurobiology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chaoling Qu
28 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 82
- Physiology 1.1k
- Cellular and Molecular Neuroscience 708
- Behavioral Neuroscience 115
- Cognitive Neuroscience 368
- Sensory Systems 57
Countries citing papers authored by Chaoling Qu
This map shows the geographic impact of Chaoling Qu'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 Chaoling Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoling Qu more than expected).
Fields of papers citing papers by Chaoling Qu
This network shows the impact of papers produced by Chaoling Qu. 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 Chaoling Qu. The network helps show where Chaoling Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoling Qu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 262 | |
| 2 | 2011 | 187 | |
| 3 | 2015 | 165 | |
| 4 | 2009 | 101 | |
| 5 | 2018 | 86 | |
| 6 | 2011 | 82 | |
| 7 | 2017 | 80 | |
| 8 | 2017 | 70 | |
| 9 | 2014 | 68 | |
| 10 | 2016 | 56 | |
| 11 | 2012 | 45 | |
| 12 | 2008 | 45 | |
| 13 | 2021 | 43 | |
| 14 | 2008 | 38 | |
| 15 | 2016 | 37 | |
| 16 | 2013 | 34 | |
| 17 | 2006 | 30 | |
| 18 | 2010 | 27 | |
| 19 | 2011 | 27 | |
| 20 | 2018 | 24 |
About Chaoling Qu
Chaoling Qu is a scholar working on Physiology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Behavioral Neuroscience and Neurology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (26 papers), Neuropeptides and Animal Physiology (9 papers), Pain Management and Placebo Effect (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (3 papers), Ion channel regulation and function (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Physiology (1.1k citations), Cellular and Molecular Neuroscience (708 citations), Behavioral Neuroscience (115 citations), Cognitive Neuroscience (368 citations) and Sensory Systems (57 citations). Chaoling Qu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Frank Porreca, Alec Okun, Edita Navratilova, Tamara E. King, Jennifer Yanhua Xie, Jing‐Shi Tang, Howard L. Fields, Fu‐Quan Huo, Michael H. Ossipov and Josephine Y. Lai. Their work appears in journals such as Pain, Experimental Neurology, Brain Research, Journal of Neuroscience and Progress in Neurobiology.
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.