Dai Lu
Impact in
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
-
- Drug Solubulity and Delivery Systems
Papers in
- Pharmacology 29
- Cannabis and Cannabinoid Research 29
-
- Advanced Drug Delivery Systems 3
- Drug Solubulity and Delivery Systems 1
- Co-authors
- Debra A. Kendall (15 shared papers)Alexandros Makriyannis (11 shared papers)Aron H. Lichtman (7 shared papers)Srikanth Kolluru (4 shared papers)Kwang H. Ahn (4 shared papers)Hamed Ismail Ali (5 shared papers)Lesley D. Schurman (2 shared papers)Allyn C. Howlett (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (7 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Behavioural Pharmacology (2 papers)International Journal of Pharmaceutics (2 papers)Cannabis and Cannabinoid Research (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Dai Lu
42 papers receiving 908 citations
Peers
Comparison fields: 5 of 47
- Pharmacology 539
- Pharmaceutical Science 16
- Organic Chemistry 56
- Toxicology 7
- Computational Theory and Mathematics 21
Countries citing papers authored by Dai Lu
This map shows the geographic impact of Dai 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 Dai Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Lu more than expected).
Fields of papers citing papers by Dai Lu
This network shows the impact of papers produced by Dai 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 Dai Lu. The network helps show where Dai Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 89 | |
| 2 | 2007 | 82 | |
| 3 | 2019 | 73 | |
| 4 | 2005 | 59 | |
| 5 | 2014 | 49 | |
| 6 | 2013 | 43 | |
| 7 | 2018 | 42 | |
| 8 | 2017 | 38 | |
| 9 | 2015 | 34 | |
| 10 | 1999 | 33 | |
| 11 | 2014 | 33 | |
| 12 | 2018 | 33 | |
| 13 | 2018 | 31 | |
| 14 | 2012 | 30 | |
| 15 | 2016 | 24 | |
| 16 | 2008 | 23 | |
| 17 | 2004 | 22 | |
| 18 | 2006 | 22 | |
| 19 | 2003 | 17 | |
| 20 | 2008 | 17 |
About Dai Lu
Dai Lu is a scholar working on Pharmacology, Pharmaceutical Science, Physiology, Neurology and Infectious Diseases, having authored 43 papers that have together received 936 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (29 papers), Alzheimer's disease research and treatments (3 papers), Advanced Drug Delivery Systems (3 papers), Lipid Membrane Structure and Behavior (1 paper), Drug Solubulity and Delivery Systems (1 paper), Synthesis and biological activity (1 paper), Geotechnical Engineering and Soil Mechanics (1 paper) and Neuroblastoma Research and Treatments (1 paper). The work is most often cited by research in Pharmacology (539 citations), Pharmaceutical Science (16 citations), Organic Chemistry (56 citations), Toxicology (7 citations) and Computational Theory and Mathematics (21 citations). Dai Lu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Debra A. Kendall, Alexandros Makriyannis, Aron H. Lichtman, Srikanth Kolluru, Kwang H. Ahn, Hamed Ismail Ali, Lesley D. Schurman, Allyn C. Howlett, Zhixing Wu and Atmaram D. Khanolkar. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Behavioural Pharmacology, International Journal of Pharmaceutics and Cannabis and Cannabinoid Research.
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.