Lai‐King Sy

5.5k citations
29 papers · 1.2k · h-index 19

Impact in

    • Pharmacological Effects of Natural Compounds
    • Microbial Natural Products and Biosynthesis

Papers in

Lai‐King Sy

29 papers receiving 1.2k citations

Peers

Lai‐King Sy
Comparison fields: 5 of 81
  • Pharmacology 269
  • Biochemistry 93
  • Molecular Biology 863
  • Biotechnology 96
  • Pharmacology 163
Replace Robert Weis with:
Robert Weis Austria
Shi‐Shan Yu China
Takashi Koyano Japan
Chien‐Chang Shen Taiwan
Bao‐Ning Su United States
Chanita Ponglimanont Thailand
José M. Miguel del Corral Spain
Raymond W. Doskotch United States
Xiao‐Tian Liang China
Samir Kumar Sadhu Bangladesh
Lai‐King Sy relative to Robert Weis Austria Robert Weis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lai‐King Sy

Since Specialization
Citations

This map shows the geographic impact of Lai‐King Sy'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 Lai‐King Sy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai‐King Sy more than expected).

Fields of papers citing papers by Lai‐King Sy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai‐King Sy. 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 Lai‐King Sy. The network helps show where Lai‐King Sy may publish in the future.

Co-authors

The 19 scholars most cited alongside Lai‐King Sy, 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 Lai‐King Sy Line = papers co-authored together Lai‐King Sy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003149
2 2008129
3 2003128
4 2002108
5 200777
6 199971
7 199857
8 199753
9 199752
10 199846
11 199844
12 200127
13 200225
14 199924
15 201123
16 200121
17 199920
18 200319
19 199918
20 201617

About Lai‐King Sy

Lai‐King Sy is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology, Pharmacology and Cancer Research, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Malaria Research and Control (11 papers), Plant biochemistry and biosynthesis (11 papers), Natural product bioactivities and synthesis (5 papers), Plant-derived Lignans Synthesis and Bioactivity (5 papers), Sesquiterpenes and Asteraceae Studies (5 papers), Phytochemical compounds biological activities (4 papers), Magnolia and Illicium research (4 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Pharmacology (269 citations), Biochemistry (93 citations), Molecular Biology (863 citations), Biotechnology (96 citations) and Pharmacology (163 citations). Lai‐King Sy has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Geoffrey D. Brown, Liang Guang-yi, Chun‐Nam Lok, Chi‐Ming Che, Siu‐Cheong Yan, Ricky Y.K. Man, Richard K. Haynes, Richard M. Saunders, Nianyong Zhu and Kung‐Kai Cheung. Their work appears in journals such as Tetrahedron, Phytochemistry, Journal of Natural Products, Magnetic Resonance in Chemistry and Chemical Science.

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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