Lean Teik Ng
Impact in
- Pharmacology top 2%
- Berberine and alkaloids research
- Pharmacological Effects of Natural Compounds
- Flavonoids in Medical Research
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
Papers in
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- Phytochemistry and Biological Activities 3
- Medicinal Plant Research 2
-
- Fungal Biology and Applications 3
- Phytochemistry and Bioactivity Studies 2
- Berberine and alkaloids research 2
- Co-authors
- Lien‐Chai Chiang (5 shared papers)Chun‐Ching Lin (6 shared papers)Den‐En Shieh (2 shared papers)Mei‐Yin Chang (1 shared paper)Wen Chin Chiang (1 shared paper)Po‐Lin Kuo (2 shared papers)Li‐Teh Liu (1 shared paper)Chun‐Ching Lin (1 shared paper)
In The Last Decade
Lean Teik Ng
18 papers receiving 731 citations
Peers
Comparison fields: 5 of 87
- Pharmacology 164
- Pharmacology 206
- Toxicology 39
- Biochemistry 65
- Complementary and alternative medicine 85
Countries citing papers authored by Lean Teik Ng
This map shows the geographic impact of Lean Teik Ng'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 Lean Teik Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lean Teik Ng more than expected).
Fields of papers citing papers by Lean Teik Ng
This network shows the impact of papers produced by Lean Teik Ng. 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 Lean Teik Ng. The network helps show where Lean Teik Ng may publish in the future.
Co-authors
The 19 scholars most cited alongside Lean Teik Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 188 | |
| 2 | 2003 | 125 | |
| 3 | 2005 | 124 | |
| 4 | 2004 | 115 | |
| 5 | 2006 | 53 | |
| 6 | 2004 | 42 | |
| 7 | 2005 | 26 | |
| 8 | 2011 | 17 | |
| 9 | 1992 | 15 | |
| 10 | 2015 | 15 | |
| 11 | 2007 | 10 | |
| 12 | 1991 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2003 | 7 | |
| 15 | 1994 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 1998 | 2 | |
| 18 | Effect of aqueous extract of Eurycoma longifolia on blood pressure in rats | 1997 | 2 |
About Lean Teik Ng
Lean Teik Ng is a scholar working on Plant Science, Pharmacology, Molecular Biology, Pharmacology and Oncology, having authored 18 papers that have together received 770 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (3 papers), Fungal Biology and Applications (3 papers), Phytochemistry and Bioactivity Studies (2 papers), Natural product bioactivities and synthesis (2 papers), Medicinal Plant Research (2 papers), Berberine and alkaloids research (2 papers), MicroRNA in disease regulation (2 papers) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Pharmacology (164 citations), Pharmacology (206 citations), Toxicology (39 citations), Biochemistry (65 citations) and Complementary and alternative medicine (85 citations). Lean Teik Ng has collaborated with scholars based in Taiwan, Canada and Malaysia. Frequent co-authors include Lien‐Chai Chiang, Chun‐Ching Lin, Den‐En Shieh, Mei‐Yin Chang, Wen Chin Chiang, Po‐Lin Kuo, Li‐Teh Liu, Chun‐Ching Lin, G. Harvey Anderson and Shu-Jing Wu. Their work appears in journals such as Planta Medica, The American Journal of Chinese Medicine, Cancer Letters, Journal of Nutrition and Clinical and Experimental Pharmacology and Physiology.
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.