Dai Lu
Impact in
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
- Pharmacology 33
- Cannabis and Cannabinoid Research 31
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- Neuroscience and Neuropharmacology Research 16
- Neurotransmitter Receptor Influence on Behavior 15
- Co-authors
- Debra A. Kendall (15 shared papers)Alexandros Makriyannis (9 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)R. Duclos (4 shared papers)Zhixing Wu (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (7 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)Molecular Pharmacology (2 papers)International Journal of Pharmaceutics (2 papers)Behavioural Pharmacology (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dai Lu
42 papers receiving 905 citations
Peers
Comparison fields: 5 of 86
- Pharmacology 616
- Cellular and Molecular Neuroscience 406
- Toxicology 51
- Endocrine and Autonomic Systems 31
- Virology 22
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 | 81 | |
| 3 | 2019 | 68 | |
| 4 | 2005 | 59 | |
| 5 | 2014 | 49 | |
| 6 | 2013 | 43 | |
| 7 | 2018 | 42 | |
| 8 | 2017 | 38 | |
| 9 | 2018 | 33 | |
| 10 | 2014 | 33 | |
| 11 | 2015 | 32 | |
| 12 | 1999 | 32 | |
| 13 | 2018 | 31 | |
| 14 | 2012 | 30 | |
| 15 | 2016 | 24 | |
| 16 | 2008 | 23 | |
| 17 | 2004 | 22 | |
| 18 | 2006 | 22 | |
| 19 | 2008 | 17 | |
| 20 | 2003 | 17 |
About Dai Lu
Dai Lu is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Toxicology, Molecular Biology and Virology, having authored 43 papers that have together received 925 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (31 papers), Neuroscience and Neuropharmacology Research (16 papers), Neurotransmitter Receptor Influence on Behavior (15 papers), Pharmacological Receptor Mechanisms and Effects (10 papers), Forensic Toxicology and Drug Analysis (5 papers), GABA and Rice Research (4 papers), HIV/AIDS drug development and treatment (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Pharmacology (616 citations), Cellular and Molecular Neuroscience (406 citations), Toxicology (51 citations), Endocrine and Autonomic Systems (31 citations) and Virology (22 citations). Dai Lu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Debra A. Kendall, Alexandros Makriyannis, Aron H. Lichtman, Srikanth Kolluru, Kwang H. Ahn, Hamed Ismail Ali, R. Duclos, Zhixing Wu, Allyn C. Howlett and Lesley D. Schurman. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Molecular Pharmacology, International Journal of Pharmaceutics and Behavioural 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.