Kam W. Leong
- Biomaterials top 0.01%
- Electrospun Nanofibers in Biomedical Applications 66
- Pharmaceutical Science top 0.02%
- Advanced Drug Delivery Systems 35
- Molecular Medicine top 0.05%
- Biomedical Engineering top 0.01%
- 3D Printing in Biomedical Research 68
- Nanoplatforms for cancer theranostics 38
- Surfaces, Coatings and Films top 0.1%
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- RNA Interference and Gene Delivery 138
- Advanced biosensing and bioanalysis techniques 84
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- Tissue Engineering and Regenerative Medicine 49
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- Virus-based gene therapy research 40
- Co-authors
- Hai‐Quan MaoEvelyn K. F. YimBarbara Pui ChanHon Fai ChanSing Yian ChewKrishnendu RoySeeram RamakrishnaYing Zhang
- Journals
- Nature (1 paper)Chemical Reviews (2 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Kam W. Leong
645 papers receiving 47.6k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Biomaterials 14.9k
- Pharmaceutical Science 3.1k
- Molecular Medicine 2.3k
- Biomedical Engineering 17.5k
- Surfaces, Coatings and Films 2.3k
Countries citing papers authored by Kam W. Leong
This map shows the geographic impact of Kam W. Leong'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 Kam W. Leong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kam W. Leong more than expected).
Fields of papers citing papers by Kam W. Leong
This network shows the impact of papers produced by Kam W. Leong. 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 Kam W. Leong. The network helps show where Kam W. Leong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kam W. Leong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 8 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 23 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 27 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 32 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 93 | |
| 15 | 2019 | 174 | |
| 16 | 2019 | 24 | |
| 17 | 2019 | 17 | |
| 18 | 2018 | 325 | |
| 19 | 2012 | 88 | |
| 20 | 2009 | 140 |
About Kam W. Leong
Kam W. Leong is a scholar working on Biomaterials, Pharmaceutical Science and Biomedical Engineering, having authored 659 papers that have together received 48.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (138 papers), Advanced biosensing and bioanalysis techniques (84 papers), 3D Printing in Biomedical Research (68 papers), Electrospun Nanofibers in Biomedical Applications (66 papers), Tissue Engineering and Regenerative Medicine (49 papers), Virus-based gene therapy research (40 papers), Nanoplatforms for cancer theranostics (38 papers) and Advanced Drug Delivery Systems (35 papers). The work is most often cited by research in Biomaterials (14.9k citations), Pharmaceutical Science (3.1k citations) and Molecular Medicine (2.3k citations). Kam W. Leong has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Hai‐Quan Mao, Evelyn K. F. Yim, Barbara Pui Chan, Hon Fai Chan, Sing Yian Chew, Krishnendu Roy, Seeram Ramakrishna, Ying Zhang, Jun Li and Mingqiang Li. Their work appears in journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.