Kai Bin Liew
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Drug Solubulity and Delivery Systems
- Advancements in Transdermal Drug Delivery
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
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- Drug Solubulity and Delivery Systems 14
- Advanced Drug Delivery Systems 10
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- Antibiotics Pharmacokinetics and Efficacy 5
- Co-authors
- Kok Khiang Peh (13 shared papers)Yvonne Tze Fung Tan (9 shared papers)Kok-Khiang Peh (2 shared papers)Syed Haroon Khalid (3 shared papers)Long Chiau Ming (21 shared papers)Yik-Ling Chew (24 shared papers)Anandarajagopal Kalusalingam (4 shared papers)Michael Ayodele Odeniyi (1 shared paper)
In The Last Decade
Kai Bin Liew
54 papers receiving 701 citations
Peers
Comparison fields: 5 of 130
- Pharmaceutical Science 208
- Molecular Medicine 76
- Drug Discovery 2
- Biomaterials 79
- Food Science 91
Countries citing papers authored by Kai Bin Liew
This map shows the geographic impact of Kai Bin Liew'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 Kai Bin Liew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Bin Liew more than expected).
Fields of papers citing papers by Kai Bin Liew
This network shows the impact of papers produced by Kai Bin Liew. 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 Kai Bin Liew. The network helps show where Kai Bin Liew may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Bin Liew, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 108 | |
| 2 | 2014 | 94 | |
| 3 | 2013 | 76 | |
| 4 | 2022 | 42 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 26 | |
| 7 | 2019 | 24 | |
| 8 | 2015 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2024 | 19 | |
| 11 | 2014 | 18 | |
| 12 | 2023 | 17 | |
| 13 | Stability indicating HPLC-UV method for determination of dapoxetine HCl in pharmaceutical product. | 2014 | 16 |
| 14 | 2022 | 15 | |
| 15 | 2015 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2024 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2014 | 10 |
About Kai Bin Liew
Kai Bin Liew is a scholar working on Pharmaceutical Science, Pharmacology, Plant Science, Analytical Chemistry and Molecular Biology, having authored 63 papers that have together received 721 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (14 papers), Advanced Drug Delivery Systems (10 papers), Analytical Methods in Pharmaceuticals (8 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Pharmaceutical studies and practices (4 papers), Dermatology and Skin Diseases (3 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Pharmaceutical Science (208 citations), Molecular Medicine (76 citations), Drug Discovery (2 citations), Biomaterials (79 citations) and Food Science (91 citations). Kai Bin Liew has collaborated with scholars based in Malaysia, Brunei and India. Frequent co-authors include Kok Khiang Peh, Yvonne Tze Fung Tan, Kok-Khiang Peh, Syed Haroon Khalid, Long Chiau Ming, Yik-Ling Chew, Anandarajagopal Kalusalingam, Michael Ayodele Odeniyi, Yaser Mohammed Al‐Worafi and Siew-Keah Lee. Their work appears in journals such as Molecules, Biomedical Chromatography, Polymers, Indian Journal of Pharmaceutical Education and Research and Marine Drugs.
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.