Lean Teik Ng

913 citations
18 papers · 766 indexed · h-index 11

Impact in

    • Berberine and alkaloids research
    • Pharmacological Effects of Natural Compounds
    • Flavonoids in Medical Research
  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents

Papers in

    • Fungal Biology and Applications 3
    • Berberine and alkaloids research 2
    • Phytochemistry and Bioactivity Studies 2

Lean Teik Ng

18 papers receiving 725 citations

Peers

Lean Teik Ng
Comparison fields: 5 of 93
  • Pharmacology 184
  • Toxicology 47
  • Pharmacology 217
  • Biochemistry 72
  • Complementary and alternative medicine 93
Replace Bai‐Luh Wei with:
Bai‐Luh Wei Taiwan
Kanaya Lal Dhar India
Jun‐Chih Ou Taiwan
Tae‐Oh Kwon South Korea
To Dao Cuong Vietnam
Shunsuke Naruto Japan
Madamanchi Geethangili Taiwan
Yu‐Yi Chan Taiwan
Saima Jalil Pakistan
Ren‐Bo An China
Lean Teik Ng relative to Bai‐Luh Wei Taiwan Bai‐Luh Wei's profile →
Citations per field
00.5×1.5×
Bai‐Luh Wei · 1×
Citations per year

Countries citing papers authored by Lean Teik Ng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 20 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.

Border = papers with Lean Teik Ng Line = papers co-authored together Lean Teik Ng links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20176
2 201513
3 20138
4 201117
5 200710
6 200652
7 200526
8 2005123
9 200442
10 2004115
11 2003125
12 2003189
13 20036
14 19982
15
Effect of aqueous extract of Eurycoma longifolia on blood pressure in rats
19972
16 19946
17 199215
18 19919

About Lean Teik Ng

Lean Teik Ng is a scholar working on Pharmacology, Biochemistry, Biological Psychiatry, Pharmacology and Plant Science, having authored 18 papers that have together received 766 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (3 papers), Fungal Biology and Applications (3 papers), Berberine and alkaloids research (2 papers), Phytochemistry and Bioactivity Studies (2 papers), MicroRNA in disease regulation (2 papers), Natural product bioactivities and synthesis (2 papers), Medicinal Plant Research (2 papers) and Food composition and properties (1 paper). The work is most often cited by research in Pharmacology (184 citations), Toxicology (47 citations), Pharmacology (217 citations), Biochemistry (72 citations) and Complementary and alternative medicine (93 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, Journal of Food Lipids, Cancer Letters 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.

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