Wei Ling Lim

1.5k total citations
49 papers, 1.1k citations indexed

About

Wei Ling Lim is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Wei Ling Lim has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Molecular Biology and 9 papers in Hepatology. Recurrent topics in Wei Ling Lim's work include Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Wei Ling Lim is often cited by papers focused on Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (6 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Wei Ling Lim collaborates with scholars based in Malaysia, China and Hong Kong. Wei Ling Lim's co-authors include Y. T. Chew, H. T. Low, Shin Jie Yong, Seong Lin Teoh, T. C. Chew, Tommy Tong, Mohamad Fairuz Yahaya, Cheuk Kwong Lee, George Lau and Raymond Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Infectious Diseases.

In The Last Decade

Wei Ling Lim

47 papers receiving 1.1k citations

Peers

Wei Ling Lim
Comparison fields: 5 of 122
  • Epidemiology 325
  • Molecular Biology 246
  • Hepatology 209
  • Cardiology and Cardiovascular Medicine 150
  • Infectious Diseases 114
Replace Yulin Zhang with:
Yulin Zhang China
Yongjian Zhou China
Xiaobao Zhang China
Junhao Chen China
Francesca Mangiola Italy
Eligio Pizzigallo Italy
Kensuke Nakamura Japan
Joel S. Goldberg United States
Amer Abouhamze United States
Jinming Liu China
Yulin Zhang China View profile →
Citations per field, relative to Wei Ling Lim
Wei Ling Lim · 1×
Citations per year, relative to Wei Ling Lim
Wei Ling Lim · 1×

Countries citing papers authored by Wei Ling Lim

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ling Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Ling Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Ling Lim. A scholar is included among the top collaborators of Wei Ling 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 Wei Ling Lim. Wei Ling 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 1
2 1
3 1
4 1
5 5
6 65
7 5
8 7
9 5
10 16
11 8
12 15
13 29
14 23
15 36
16 42
17 40
18 18
19 26
20
Hepatitis C virus antibody in multiply transfused Chinese with thalassaemia major.
13

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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