Ahai C. Lua
Impact in
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Forensic Toxicology and Drug Analysis 9
-
- Metabolomics and Mass Spectrometry Studies 6
- Co-authors
- Lin Hu (2 shared papers)Jianmei Wu (1 shared paper)Kristiina Kruus (1 shared paper)A. L. Demain (1 shared paper)Chao‐Zong Liu (2 shared papers)Lawrence Shih‐Hsin Wu (2 shared papers)Bojian Wu (2 shared papers)Lin Hu (1 shared paper)
- Journals
- Journal of Analytical Toxicology (6 papers)Journal of Food and Drug Analysis (3 papers)Toxicology and Applied Pharmacology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Infection (1 paper)
- Partner nations
- TaiwanUnited StatesMalaysia
In The Last Decade
Ahai C. Lua
18 papers receiving 312 citations
Peers
Comparison fields: 5 of 73
- Toxicology 123
- Biological Psychiatry 24
- Spectroscopy 85
- Pharmacology 63
- Biotechnology 30
Countries citing papers authored by Ahai C. Lua
This map shows the geographic impact of Ahai C. Lua'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 Ahai C. Lua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahai C. Lua more than expected).
Fields of papers citing papers by Ahai C. Lua
This network shows the impact of papers produced by Ahai C. Lua. 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 Ahai C. Lua. The network helps show where Ahai C. Lua may publish in the future.
Co-authors
The 25 scholars most cited alongside Ahai C. Lua, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 72 | |
| 2 | 1995 | 55 | |
| 3 | 2006 | 37 | |
| 4 | 2002 | 28 | |
| 5 | 2004 | 28 | |
| 6 | 2000 | 26 | |
| 7 | 2016 | 15 | |
| 8 | 2004 | 11 | |
| 9 | 2012 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2010 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 2011 | 7 | |
| 14 | Effects of a school-based substance use prevention program on students in Malaysia | 2018 | 5 |
| 15 | 2002 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2020 | 2 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 0 |
About Ahai C. Lua
Ahai C. Lua is a scholar working on Toxicology, Molecular Biology, Pharmacology, Spectroscopy and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 339 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Mass Spectrometry Techniques and Applications (5 papers), Treatment of Major Depression (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Psychedelics and Drug Studies (3 papers), Analytical Chemistry and Chromatography (3 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Toxicology (123 citations), Biological Psychiatry (24 citations), Spectroscopy (85 citations), Pharmacology (63 citations) and Biotechnology (30 citations). Ahai C. Lua has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Lin Hu, Jianmei Wu, Kristiina Kruus, A. L. Demain, Chao‐Zong Liu, Lawrence Shih‐Hsin Wu, Bojian Wu, Lin Hu, S. Huang and Ho‐Hsiung Lin. Their work appears in journals such as Journal of Analytical Toxicology, Journal of Food and Drug Analysis, Toxicology and Applied Pharmacology, Proceedings of the National Academy of Sciences and Infection.
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.