Qinxue Dai
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
-
- Acupuncture Treatment Research Studies
Papers in
-
- Acupuncture Treatment Research Studies 7
- Co-authors
- Junlu Wang (38 shared papers)Yunchang Mo (30 shared papers)Feihong Lin (7 shared papers)Kaiwei Xu (6 shared papers)Kunyuan Han (8 shared papers)Wujun Geng (7 shared papers)Sijia Chen (3 shared papers)Lüping Huang (9 shared papers)
- Journals
- Aging (2 papers)Journal of Pain Research (1 paper)BioMed Research International (1 paper)Free Radical Biology and Medicine (1 paper)Experimental Neurology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Qinxue Dai
46 papers receiving 768 citations
Peers
Comparison fields: 5 of 83
- Neurology 143
- Complementary and alternative medicine 114
- Cancer Research 138
- Critical Care and Intensive Care Medicine 30
- Developmental Neuroscience 23
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 110 | |
| 2 | 2021 | 70 | |
| 3 | 2019 | 60 | |
| 4 | 2022 | 55 | |
| 5 | 2018 | 48 | |
| 6 | 2020 | 36 | |
| 7 | 2020 | 28 | |
| 8 | 2022 | 25 | |
| 9 | 2018 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2016 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2017 | 16 | |
| 17 | 2016 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2020 | 13 |
About Qinxue Dai
Qinxue Dai is a scholar working on Molecular Biology, Complementary and alternative medicine, Neurology, Physiology and Immunology, having authored 47 papers that have together received 776 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (7 papers), Pain Mechanisms and Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Vagus Nerve Stimulation Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Immune Response and Inflammation (3 papers), interferon and immune responses (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Neurology (143 citations), Complementary and alternative medicine (114 citations), Cancer Research (138 citations), Critical Care and Intensive Care Medicine (30 citations) and Developmental Neuroscience (23 citations). Qinxue Dai has collaborated with scholars based in China and United States. Frequent co-authors include Junlu Wang, Yunchang Mo, Feihong Lin, Kaiwei Xu, Kunyuan Han, Wujun Geng, Sijia Chen, Lüping Huang, Ya Lv and Hongli Tang. Their work appears in journals such as Aging, Journal of Pain Research, BioMed Research International, Free Radical Biology and Medicine and Experimental Neurology.
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.