Daxiang Lu
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Cell death mechanisms and regulation 3
- Pharmacology 12
- Berberine and alkaloids research 11
- Alkaloids: synthesis and pharmacology 8
- Co-authors
- Renbin Qi (22 shared papers)Huadong Wang (12 shared papers)Hongmei Li (11 shared papers)Jun Dong (2 shared papers)Xiaohui Yu (7 shared papers)Yiyang Wang (6 shared papers)Yanping Wang (5 shared papers)Xiuxiu Lv (7 shared papers)
- Journals
- Chinese Journal of Integrative Medicine (3 papers)Acta Pharmacologica Sinica (3 papers)International Immunopharmacology (3 papers)PLoS ONE (3 papers)Shock (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Daxiang Lu
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Molecular Medicine 111
- Neurology 175
- Pharmacology 179
- Pharmacology 287
- Complementary and alternative medicine 124
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 | 115 | |
| 2 | 2008 | 106 | |
| 3 | 2012 | 104 | |
| 4 | 2010 | 75 | |
| 5 | 2011 | 63 | |
| 6 | 2008 | 60 | |
| 7 | 2011 | 58 | |
| 8 | 2006 | 54 | |
| 9 | 2009 | 50 | |
| 10 | 2013 | 41 | |
| 11 | 2020 | 40 | |
| 12 | 2013 | 40 | |
| 13 | 2015 | 36 | |
| 14 | 2015 | 32 | |
| 15 | 2020 | 32 | |
| 16 | 2016 | 31 | |
| 17 | 2010 | 27 | |
| 18 | 2011 | 25 | |
| 19 | 2006 | 24 | |
| 20 | 2009 | 23 |
About Daxiang Lu
Daxiang Lu is a scholar working on Molecular Biology, Pharmacology, Neurology, Pharmacology and Physiology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Berberine and alkaloids research (11 papers), Alkaloids: synthesis and pharmacology (8 papers), Alzheimer's disease research and treatments (6 papers), Immune Response and Inflammation (5 papers), Cell death mechanisms and regulation (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (111 citations), Neurology (175 citations), Pharmacology (179 citations), Pharmacology (287 citations) and Complementary and alternative medicine (124 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, Xiaohui Yu, Yiyang Wang, Yanping Wang, Xiuxiu Lv and Yongmei Fu. Their work appears in journals such as Chinese Journal of Integrative Medicine, Acta Pharmacologica Sinica, International Immunopharmacology, PLoS ONE and Shock.
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.