Tuck‐Meng Lim
Impact in
- Pharmacology top 1%
- Alkaloids: synthesis and pharmacology
- Berberine and alkaloids research
- Biochemistry top 10%
- Traditional and Medicinal Uses of Annonaceae
Papers in
- Pharmacology 14
- Alkaloids: synthesis and pharmacology 14
- Berberine and alkaloids research 4
- Plant-based Medicinal Research 3
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- Cancer therapeutics and mechanisms 4
- Phytochemical Studies and Bioactivities 3
- Co-authors
- Toh‐Seok Kam (16 shared papers)Kooi‐Mow Sim (6 shared papers)Guan Huat Tan (4 shared papers)Kah Yaw Ee (2 shared papers)Nam Weng Sit (2 shared papers)Wen Jie Ng (2 shared papers)G. Subramaniam (3 shared papers)Yeun‐Mun Choo (2 shared papers)
In The Last Decade
Tuck‐Meng Lim
22 papers receiving 473 citations
Peers
Comparison fields: 5 of 62
- Pharmacology 270
- Biochemistry 80
- Organic Chemistry 189
- Insect Science 68
- Pharmacology 80
Countries citing papers authored by Tuck‐Meng Lim
This map shows the geographic impact of Tuck‐Meng Lim'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 Tuck‐Meng Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuck‐Meng Lim more than expected).
Fields of papers citing papers by Tuck‐Meng Lim
This network shows the impact of papers produced by Tuck‐Meng Lim. 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 Tuck‐Meng Lim. The network helps show where Tuck‐Meng Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Tuck‐Meng Lim, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 62 | |
| 2 | 2003 | 57 | |
| 3 | 2020 | 46 | |
| 4 | 2001 | 35 | |
| 5 | 1999 | 32 | |
| 6 | 2001 | 30 | |
| 7 | 1999 | 30 | |
| 8 | 2021 | 28 | |
| 9 | 2001 | 27 | |
| 10 | 1995 | 25 | |
| 11 | 1998 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 1999 | 15 | |
| 14 | 2008 | 10 | |
| 15 | 1993 | 10 | |
| 16 | 1998 | 9 | |
| 17 | 2019 | 9 | |
| 18 | 1999 | 8 | |
| 19 | 1993 | 6 | |
| 20 | 2012 | 5 |
About Tuck‐Meng Lim
Tuck‐Meng Lim is a scholar working on Pharmacology, Molecular Biology, Organic Chemistry, Pharmacology and Biochemistry, having authored 25 papers that have together received 483 indexed citations. Recurring topics across this work include Alkaloids: synthesis and pharmacology (14 papers), Cancer therapeutics and mechanisms (4 papers), Berberine and alkaloids research (4 papers), Chemical synthesis and alkaloids (3 papers), Phytochemical Studies and Bioactivities (3 papers), Plant-based Medicinal Research (3 papers), Traditional and Medicinal Uses of Annonaceae (2 papers) and Bee Products Chemical Analysis (2 papers). The work is most often cited by research in Pharmacology (270 citations), Biochemistry (80 citations), Organic Chemistry (189 citations), Insect Science (68 citations) and Pharmacology (80 citations). Tuck‐Meng Lim has collaborated with scholars based in Malaysia, Iran and Ireland. Frequent co-authors include Toh‐Seok Kam, Kooi‐Mow Sim, Guan Huat Tan, Kah Yaw Ee, Nam Weng Sit, Wen Jie Ng, G. Subramaniam, Yeun‐Mun Choo, Yoganathan Kanagasundaram and Lik Voon Kiew. Their work appears in journals such as Tetrahedron Letters, Tetrahedron, Phytochemistry, Molecules and Organic & Biomolecular Chemistry.
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.