Sing Ling Chia

1.1k citations
10 papers · 930 · h-index 9

Impact in

    • Nanoparticle-Based Drug Delivery
    • Nanoplatforms for cancer theranostics
    • Graphene and Nanomaterials Applications
    • 3D Printing in Biomedical Research

Papers in

Sing Ling Chia

10 papers receiving 923 citations

Peers

Sing Ling Chia
Comparison fields: 5 of 102
  • Biomaterials 304
  • Biomedical Engineering 421
  • Materials Chemistry 401
  • Health, Toxicology and Mutagenesis 75
  • Pharmaceutical Science 26
Replace Wanru Fang with:
Wanru Fang Singapore
N.V. Srikanth Vallabani India
Andrea Kunzmann Sweden
Jie Kai Tee Singapore
Alokita Karmakar United States
Mark Geppert Austria
Cristina Riggio Italy
Thikra Mustafa United States
Sing Ling Chia relative to Wanru Fang Singapore Wanru Fang's profile →
Citations per field
00.5×1.5×
Wanru Fang · 1×
Citations per year

Countries citing papers authored by Sing Ling Chia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 17 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.

Border = papers with Sing Ling Chia Line = papers co-authored together Sing Ling Chia links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013404
2 2014107
3 201486
4 201681
5 201577
6 201662
7 201646
8 201240
9 201525
10 20152

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 930 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), Nanoparticle-Based Drug Delivery (2 papers), Heavy Metal Exposure and Toxicity (2 papers), Microplastics and Plastic Pollution (1 paper), RNA Interference and Gene Delivery (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Biomaterials (304 citations), Biomedical Engineering (421 citations), Materials Chemistry (401 citations), Health, Toxicology and Mutagenesis (75 citations) and Pharmaceutical Science (26 citations). Sing Ling Chia has collaborated with scholars based in Singapore, China and France. Frequent co-authors include David Tai Leong, Magdiel Inggrid Setyawati, Chor Yong Tay, Wanru Fang, Say Chye Joachim Loo, Kee Woei Ng, M. Neo, Suet‐Mien Tan, Jianping Xie and Nguan Soon Tan. Their work appears in journals such as Small, Nature Communications, Heliyon, Advanced Functional Materials and Biomaterials.

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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