Daxiang Lu
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Pharmacology 11
- Berberine and alkaloids research 11
- Alkaloids: synthesis and pharmacology 5
- Neurology 10
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Co-authors
- Renbin Qi (22 shared papers)Huadong Wang (12 shared papers)Hongmei Li (11 shared papers)Jun Dong (2 shared papers)Yiyang Wang (6 shared papers)Xiaohui Yu (7 shared papers)Yanping Wang (5 shared papers)Xiuxiu Lv (7 shared papers)
- Journals
- Acta Pharmacologica Sinica (3 papers)International Immunopharmacology (3 papers)PLoS ONE (3 papers)Chinese Journal of Integrative Medicine (3 papers)Molecular Neurobiology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daxiang Lu
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Molecular Medicine 106
- Neurology 168
- Pharmacology 163
- Pharmacology 280
- Biological Psychiatry 39
Countries citing papers authored by Daxiang Lu
This map shows the geographic impact of Daxiang Lu'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 Daxiang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daxiang Lu more than expected).
Fields of papers citing papers by Daxiang Lu
This network shows the impact of papers produced by Daxiang Lu. 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 Daxiang Lu. The network helps show where Daxiang Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daxiang Lu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 119 | |
| 2 | 2008 | 112 | |
| 3 | 2012 | 111 | |
| 4 | 2010 | 77 | |
| 5 | 2011 | 64 | |
| 6 | 2008 | 61 | |
| 7 | 2011 | 61 | |
| 8 | 2006 | 59 | |
| 9 | 2009 | 53 | |
| 10 | 2013 | 43 | |
| 11 | 2020 | 43 | |
| 12 | 2013 | 42 | |
| 13 | 2015 | 37 | |
| 14 | 2015 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2016 | 31 | |
| 17 | 2010 | 28 | |
| 18 | 2011 | 26 | |
| 19 | 2012 | 24 | |
| 20 | 2006 | 24 |
About Daxiang Lu
Daxiang Lu is a scholar working on Pharmacology, Neurology, Molecular Biology, Physiology and Pharmacology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Berberine and alkaloids research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Alkaloids: synthesis and pharmacology (5 papers), Immune Response and Inflammation (4 papers), Alzheimer's disease research and treatments (3 papers), Curcumin's Biomedical Applications (2 papers), Cell death mechanisms and regulation (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Molecular Medicine (106 citations), Neurology (168 citations), Pharmacology (163 citations), Pharmacology (280 citations) and Biological Psychiatry (39 citations). Daxiang Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Renbin Qi, Huadong Wang, Huadong Wang, Hongmei Li, Jun Dong, Yiyang Wang, Xiaohui Yu, Yanping Wang, Xiuxiu Lv and Yongmei Fu. Their work appears in journals such as Acta Pharmacologica Sinica, International Immunopharmacology, PLoS ONE, Chinese Journal of Integrative Medicine and Molecular 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.