Qinxue Dai
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Acupuncture Treatment Research Studies
Papers in
-
- Acupuncture Treatment Research Studies 20
- Neurology 14
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Vagus Nerve Stimulation Research 7
- Co-authors
- Junlu Wang (39 shared papers)Yunchang Mo (31 shared papers)Kunyuan Han (8 shared papers)Wujun Geng (8 shared papers)Feihong Lin (7 shared papers)Kaiwei Xu (6 shared papers)Sijia Chen (3 shared papers)Lüping Huang (9 shared papers)
- Journals
- Aging (2 papers)Cell Death Discovery (1 paper)Journal of Cellular Physiology (1 paper)BMC Anesthesiology (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Qinxue Dai
46 papers receiving 736 citations
Peers
Comparison fields: 5 of 86
- Neurology 160
- Complementary and alternative medicine 137
- Cancer Research 161
- Developmental Neuroscience 32
- Critical Care and Intensive Care Medicine 37
Countries citing papers authored by Qinxue Dai
This map shows the geographic impact of Qinxue Dai'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 Qinxue Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinxue Dai more than expected).
Fields of papers citing papers by Qinxue Dai
This network shows the impact of papers produced by Qinxue Dai. 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 Qinxue Dai. The network helps show where Qinxue Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Qinxue Dai, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2021 | 66 | |
| 3 | 2019 | 59 | |
| 4 | 2022 | 50 | |
| 5 | 2018 | 48 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 27 | |
| 8 | 2018 | 22 | |
| 9 | 2022 | 22 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2019 | 16 | |
| 16 | 2017 | 15 | |
| 17 | 2016 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2021 | 13 |
About Qinxue Dai
Qinxue Dai is a scholar working on Complementary and alternative medicine, Neurology, Physiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 744 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (20 papers), Pain Mechanisms and Treatments (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Vagus Nerve Stimulation Research (7 papers), Healthcare and Venom Research (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Anesthesia and Pain Management (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Neurology (160 citations), Complementary and alternative medicine (137 citations), Cancer Research (161 citations), Developmental Neuroscience (32 citations) and Critical Care and Intensive Care Medicine (37 citations). Qinxue Dai has collaborated with scholars based in China and United States. Frequent co-authors include Junlu Wang, Yunchang Mo, Kunyuan Han, Wujun Geng, Feihong Lin, Kaiwei Xu, Sijia Chen, Lüping Huang, Hongli Tang and Ya Lv. Their work appears in journals such as Aging, Cell Death Discovery, Journal of Cellular Physiology, BMC Anesthesiology and Free Radical Biology and Medicine.
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.