Siew Lay Lim

1.7k citations
27 papers · 1.3k · h-index 17

Impact in

Papers in

Siew Lay Lim

26 papers receiving 1.3k citations

Peers

Siew Lay Lim
Comparison fields: 5 of 100
  • Polymers and Plastics 332
  • Cancer Research 131
  • Electrical and Electronic Engineering 480
  • Molecular Biology 477
  • Materials Chemistry 291
Replace Hung-Lin Chen with:
Hung-Lin Chen Taiwan
Chengzhi He China
Eunjoo Song South Korea
Qunfang Li China
Ryo Hayashi Japan
Dong-Ho Kim South Korea
Chao Xing China
Jiaxiong Wang China
Ruili Liu China
Siew Lay Lim relative to Hung-Lin Chen Taiwan Hung-Lin Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Siew Lay Lim

Since Specialization
Citations

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

Fields of papers citing papers by Siew Lay Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew Lay Lim. 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 Siew Lay Lim. The network helps show where Siew Lay Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside Siew Lay Lim, 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 Siew Lay Lim Line = papers co-authored together Siew Lay Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010226
2 2019217
3 2007123
4 2008118
5 201774
6 201173
7 202056
8 201352
9 201952
10 201546
11 201645
12 201536
13 201334
14 200529
15 201425
16 201423
17 200918
18 201415
19 201214
20 201712

About Siew Lay Lim

Siew Lay Lim is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Polymers and Plastics, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Conducting polymers and applications (10 papers), Organic Electronics and Photovoltaics (6 papers), Perovskite Materials and Applications (6 papers), Advanced Memory and Neural Computing (5 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Advanced Thermoelectric Materials and Devices (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Polymers and Plastics (332 citations), Cancer Research (131 citations), Electrical and Electronic Engineering (480 citations), Molecular Biology (477 citations) and Materials Chemistry (291 citations). Siew Lay Lim has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Thomas Lufkin, E. T. Kang, K. G. Neoh, Xizu Wang, Jianwei Xu, Petra Kraus, Eric Yeow Hwee Teo, Xing Xing, D.S.H. Chan and Weiping Han. Their work appears in journals such as Chemistry of Materials, IEEE Electron Device Letters, ACS Applied Materials & Interfaces, Solar Energy Materials and Solar Cells and ChemNanoMat.

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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