Sing Ling Chia
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
- 3D Printing in Biomedical Research
Papers in
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- Nanoparticles: synthesis and applications 6
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- Graphene and Nanomaterials Applications 4
- 3D Printing in Biomedical Research 3
- Nanoplatforms for cancer theranostics 1
- Co-authors
- David Tai Leong (10 shared papers)Magdiel Inggrid Setyawati (8 shared papers)Chor Yong Tay (7 shared papers)Wanru Fang (3 shared papers)Kee Woei Ng (1 shared paper)Jianping Xie (1 shared paper)Say Chye Joachim Loo (1 shared paper)M. Neo (1 shared paper)
In The Last Decade
Sing Ling Chia
10 papers receiving 918 citations
Sing Ling Chia's Hit Papers
Peers
Comparison fields: 5 of 105
- Biomaterials 311
- Biomedical Engineering 433
- Materials Chemistry 409
- Health, Toxicology and Mutagenesis 81
- Pharmaceutical Science 26
Countries citing papers authored by Sing Ling Chia
This map shows the geographic impact of Sing Ling Chia'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 Sing Ling Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sing Ling Chia more than expected).
Fields of papers citing papers by Sing Ling Chia
This network shows the impact of papers produced by Sing Ling Chia. 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 Sing Ling Chia. The network helps show where Sing Ling Chia may publish in the future.
Co-authors
The 18 scholars most cited alongside Sing Ling Chia, 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 | Titanium dioxide nanomaterials cause endothelial cell leakiness by disrupting the homophilic interaction of VE–cadherin Hit paper breakdown → | 2013 | 404 |
| 2 | 2014 | 106 | |
| 3 | 2014 | 85 | |
| 4 | 2016 | 80 | |
| 5 | 2015 | 77 | |
| 6 | 2016 | 61 | |
| 7 | 2016 | 46 | |
| 8 | 2012 | 40 | |
| 9 | 2015 | 25 | |
| 10 | 2015 | 2 |
About Sing Ling Chia
Sing Ling Chia is a scholar working on Materials Chemistry, Biomedical Engineering, Molecular Biology, Health, Toxicology and Mutagenesis and Biomaterials, having authored 10 papers that have together received 926 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (6 papers), Graphene and Nanomaterials Applications (4 papers), 3D Printing in Biomedical Research (3 papers), Heavy Metal Exposure and Toxicity (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Environmental Toxicology and Ecotoxicology (1 paper). The work is most often cited by research in Biomaterials (311 citations), Biomedical Engineering (433 citations), Materials Chemistry (409 citations), Health, Toxicology and Mutagenesis (81 citations) and Pharmaceutical Science (26 citations). Sing Ling Chia has collaborated with scholars based in Singapore, France and China. Frequent co-authors include David Tai Leong, Magdiel Inggrid Setyawati, Chor Yong Tay, Wanru Fang, Kee Woei Ng, Jianping Xie, Say Chye Joachim Loo, M. Neo, Choon Nam Ong and Nguan Soon Tan. Their work appears in journals such as Small, Biomaterials, Chemical Science, Nature Communications and Heliyon.
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.