Mai Chan Lau

10 papers and 375 indexed citations i.

About

Mai Chan Lau is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Mai Chan Lau has authored 10 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Mai Chan Lau’s work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers) and COVID-19 Clinical Research Studies (2 papers). Mai Chan Lau is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers) and COVID-19 Clinical Research Studies (2 papers). Mai Chan Lau collaborates with scholars based in Singapore, China and United States. Mai Chan Lau's co-authors include Michael Poidinger, Michael T. Wong, Evan W. Newell, Jinmiao Chen, Jeffrey Chun Tatt Lim, Joe Yeong, Xingjie Shi, Wei Liu, Jin Liu and Yi Yang and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Mai Chan Lau i

Fields of papers citing papers by Mai Chan Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai Chan 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 Mai Chan Lau. The network helps show where Mai Chan Lau may publish in the future.

Countries citing papers authored by Mai Chan Lau

Since Specialization
Citations

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

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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2025