Daneng Wei
Impact in
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- Acupuncture Treatment Research Studies
- Natural Compounds in Disease Treatment
- Traditional Chinese Medicine Analysis
Papers in
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- Acupuncture Treatment Research Studies 6
- Traditional Chinese Medicine Analysis 3
- Natural Compounds in Disease Treatment 2
- Co-authors
- Chunjie Wu (12 shared papers)Wei Peng (8 shared papers)Yong Tang (3 shared papers)Qing Zhang (3 shared papers)Mengmeng Zhang (6 shared papers)Lei Zhu (3 shared papers)Li Wang (3 shared papers)Qiaofeng Wu (3 shared papers)
In The Last Decade
Daneng Wei
21 papers receiving 497 citations
Peers
Comparison fields: 5 of 69
- Complementary and alternative medicine 173
- Biological Psychiatry 5
- Drug Discovery 1
- Rheumatology 38
- Neurology 17
Countries citing papers authored by Daneng Wei
This map shows the geographic impact of Daneng Wei'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 Daneng Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daneng Wei more than expected).
Fields of papers citing papers by Daneng Wei
This network shows the impact of papers produced by Daneng Wei. 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 Daneng Wei. The network helps show where Daneng Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Daneng Wei, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 95 | |
| 2 | 2019 | 56 | |
| 3 | 2019 | 51 | |
| 4 | 2021 | 51 | |
| 5 | 2018 | 39 | |
| 6 | 2019 | 37 | |
| 7 | 2021 | 28 | |
| 8 | 2018 | 26 | |
| 9 | 2022 | 25 | |
| 10 | 2021 | 21 | |
| 11 | 2019 | 20 | |
| 12 | 2021 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2019 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2024 | 2 |
About Daneng Wei
Daneng Wei is a scholar working on Complementary and alternative medicine, Neurology, Pharmacology, Computational Theory and Mathematics and Food Science, having authored 22 papers that have together received 509 indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (6 papers), Gut microbiota and health (3 papers), Traditional Chinese Medicine Analysis (3 papers), Agricultural and Biological Research (2 papers), Computational Drug Discovery Methods (2 papers), Respiratory Support and Mechanisms (2 papers), Natural Compounds in Disease Treatment (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Complementary and alternative medicine (173 citations), Biological Psychiatry (5 citations), Drug Discovery (1 citation), Rheumatology (38 citations) and Neurology (17 citations). Daneng Wei has collaborated with scholars based in China, Nigeria and Hong Kong. Frequent co-authors include Chunjie Wu, Wei Peng, Yong Tang, Qing Zhang, Mengmeng Zhang, Lei Zhu, Li Wang, Qiaofeng Wu, Yongxiang Gao and Shuguang Yu. Their work appears in journals such as Current Pharmaceutical Design, Drug Design Development and Therapy, Biomedicine & Pharmacotherapy, Current Neuropharmacology and Journal of Pharmacy and Pharmacology.
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.