Chu Sing Lim

2.1k total citations
36 papers, 1.6k citations indexed

About

Chu Sing Lim is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Chu Sing Lim has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Biomedical Engineering and 7 papers in Surgery. Recurrent topics in Chu Sing Lim's work include Non-Invasive Vital Sign Monitoring (7 papers), Ginseng Biological Effects and Applications (5 papers) and Traditional Chinese Medicine Analysis (5 papers). Chu Sing Lim is often cited by papers focused on Non-Invasive Vital Sign Monitoring (7 papers), Ginseng Biological Effects and Applications (5 papers) and Traditional Chinese Medicine Analysis (5 papers). Chu Sing Lim collaborates with scholars based in Singapore, Japan and Malaysia. Chu Sing Lim's co-authors include Kishore R. Sakharkar, Meena Kishore Sakharkar, Jong Yong Abdiel Foo, Bhone Myint Kyaw, Chee Kai Chua, Kah Fai Leong, Meena Kishore Sakharkar, Kevin Yi‐Lwern Yap, Sunita Chauhan and Sui Yung Chan and has published in prestigious journals such as Food Chemistry, Journal of Biomechanics and Food Research International.

In The Last Decade

Chu Sing Lim

36 papers receiving 1.5k citations

Peers

Chu Sing Lim
Comparison fields: 5 of 160
  • Biomaterials 289
  • Pollution 280
  • Molecular Biology 279
  • Biomedical Engineering 278
  • Food Science 204
Kil‐Soo Kim South Korea
Xianxiang Chen China
G. Thilagavathi India
Hongbo Li China
Teresa R.S. Brandão Portugal
Bruna Aparecida Souza Machado Brazil
Chen Zhou China
Manabendra Mandal India
Shiyu Li China
Guoguang Zhang China
Kil‐Soo Kim South Korea View profile →
Citations per field, relative to Chu Sing Lim
Chu Sing Lim · 1×
Citations per year, relative to Chu Sing Lim
Chu Sing Lim · 1×

Countries citing papers authored by Chu Sing Lim

Since Specialization
Citations

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

Fields of papers citing papers by Chu Sing Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chu Sing Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Chu Sing Lim. A scholar is included among the top collaborators of Chu Sing Lim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chu Sing Lim. Chu Sing Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 43
2 288
3 46
4 70
5 176
6 234
7 6
8 75
9 7
10 8
11 3
12 96
13 2
14 54
15 31
16 14
17 70
18 46
19 23
20 2

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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