Tong‐Lay Lau

713 total citations
9 papers, 633 citations indexed

About

Tong‐Lay Lau is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Tong‐Lay Lau has authored 9 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Tong‐Lay Lau's work include Alzheimer's disease research and treatments (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Tong‐Lay Lau is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Lipid Membrane Structure and Behavior (4 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Tong‐Lay Lau collaborates with scholars based in Australia, United States and Argentina. Tong‐Lay Lau's co-authors include Tobias S. Ulmer, Frances Separovic, Kevin J. Barnham, Colin L. Masters, Deborah J. Tew, Roberto Cappai, John D. Wade, Mark H. Ginsberg, Anthony W. Partridge and Keyla Perez and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Tong‐Lay Lau

9 papers receiving 633 citations

Peers

Tong‐Lay Lau
Comparison fields: 5 of 63
  • Physiology 405
  • Molecular Biology 353
  • Immunology and Allergy 118
  • Nutrition and Dietetics 99
  • Pharmacology 88
Replace Andrew J. Beel with:
Andrew J. Beel United States
Francesco Bemporad Italy
Mayumi Shindo Japan
Gerald Gellermann Germany
Therese Eneqvist Sweden
Karin Wieligmann Germany
Thomas Bara United States
Ashok J. Chavan United States
Laurent Knerr Sweden
Sara L. Adamski‐Werner United States
Andrew J. Beel United States View profile →
Citations per field, relative to Tong‐Lay Lau
Tong‐Lay Lau · 1×
Citations per year, relative to Tong‐Lay Lau
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Countries citing papers authored by Tong‐Lay Lau

Since Specialization
Citations

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

Fields of papers citing papers by Tong‐Lay Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tong‐Lay Lau. 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 Tong‐Lay Lau. The network helps show where Tong‐Lay Lau may publish in the future.

Co-authorship network of co-authors of Tong‐Lay Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Tong‐Lay Lau. A scholar is included among the top collaborators of Tong‐Lay Lau 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 Tong‐Lay Lau. Tong‐Lay Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 48
2 4
3 77
4 100
5 43
6 34
7 164
8 149
9 14

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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2026