Kooi‐Mow Sim
Impact in
- Pharmacology top 0.5%
- Alkaloids: synthesis and pharmacology
- Berberine and alkaloids research
- Biochemistry top 2%
- Traditional and Medicinal Uses of Annonaceae
Papers in
- Pharmacology 20
- Alkaloids: synthesis and pharmacology 19
- Berberine and alkaloids research 6
- Plant-based Medicinal Research 3
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- Cancer therapeutics and mechanisms 10
- Co-authors
- Toh‐Seok Kam (21 shared papers)Kanki Komiyama (6 shared papers)Takashi Koyano (5 shared papers)Tuck‐Meng Lim (6 shared papers)Masahiko Hayashi (5 shared papers)Zanariah Abdullah (1 shared paper)Osamu Hiraku (1 shared paper)Siew‐Huah Lim (1 shared paper)
In The Last Decade
Kooi‐Mow Sim
30 papers receiving 886 citations
Peers
Comparison fields: 5 of 49
- Pharmacology 571
- Biochemistry 215
- Organic Chemistry 420
- Toxicology 32
- Pharmacology 155
Countries citing papers authored by Kooi‐Mow Sim
This map shows the geographic impact of Kooi‐Mow Sim'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 Kooi‐Mow Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kooi‐Mow Sim more than expected).
Fields of papers citing papers by Kooi‐Mow Sim
This network shows the impact of papers produced by Kooi‐Mow Sim. 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 Kooi‐Mow Sim. The network helps show where Kooi‐Mow Sim may publish in the future.
Co-authors
The 15 scholars most cited alongside Kooi‐Mow Sim, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 127 | |
| 2 | 1999 | 73 | |
| 3 | 2007 | 65 | |
| 4 | 2000 | 62 | |
| 5 | 2004 | 52 | |
| 6 | 2002 | 49 | |
| 7 | 1998 | 46 | |
| 8 | 1998 | 46 | |
| 9 | 2002 | 45 | |
| 10 | 1998 | 43 | |
| 11 | 2001 | 35 | |
| 12 | 1999 | 32 | |
| 13 | 2009 | 25 | |
| 14 | 2001 | 25 | |
| 15 | 2002 | 25 | |
| 16 | 2003 | 22 | |
| 17 | 2003 | 18 | |
| 18 | 2002 | 17 | |
| 19 | 2011 | 14 | |
| 20 | 2018 | 14 |
About Kooi‐Mow Sim
Kooi‐Mow Sim is a scholar working on Pharmacology, Molecular Biology, Organic Chemistry, Biochemistry and Pharmacology, having authored 31 papers that have together received 902 indexed citations. Recurring topics across this work include Alkaloids: synthesis and pharmacology (19 papers), Cancer therapeutics and mechanisms (10 papers), Traditional and Medicinal Uses of Annonaceae (7 papers), Synthesis and biological activity (7 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers), Berberine and alkaloids research (6 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Plant-based Medicinal Research (3 papers). The work is most often cited by research in Pharmacology (571 citations), Biochemistry (215 citations), Organic Chemistry (420 citations), Toxicology (32 citations) and Pharmacology (155 citations). Kooi‐Mow Sim has collaborated with scholars based in Malaysia and Japan. Frequent co-authors include Toh‐Seok Kam, Kanki Komiyama, Takashi Koyano, Tuck‐Meng Lim, Masahiko Hayashi, Zanariah Abdullah, Osamu Hiraku, Siew‐Huah Lim, Yoganathan Kanagasundaram and Kuan‐Hon Lim. Their work appears in journals such as Tetrahedron Letters, Phytochemistry, Journal of Natural Products, Bioorganic & Medicinal Chemistry Letters and Helvetica Chimica Acta.
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.