Yau-Tuen Chan

24 papers and 829 indexed citations i.

About

Yau-Tuen Chan is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yau-Tuen Chan has authored 24 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yau-Tuen Chan’s work include Ferroptosis and cancer prognosis (5 papers), Immune cells in cancer (4 papers) and RNA modifications and cancer (4 papers). Yau-Tuen Chan is often cited by papers focused on Ferroptosis and cancer prognosis (5 papers), Immune cells in cancer (4 papers) and RNA modifications and cancer (4 papers). Yau-Tuen Chan collaborates with scholars based in Hong Kong, China and United States. Yau-Tuen Chan's co-authors include Ning Wang, Hor‐Yue Tan, Yibin Feng, Yuanjun Lu, Sha Li, Cheng Zhang, Di Wang, Yu Xu, Yi‐Chao Zheng and Rakesh Sharma and has published in prestigious journals such as International Journal of Molecular Sciences, Molecular Cancer and Cancer Letters.

In The Last Decade

Co-authorship network of co-authors of Yau-Tuen Chan i

Fields of papers citing papers by Yau-Tuen Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yau-Tuen Chan. 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 Yau-Tuen Chan. The network helps show where Yau-Tuen Chan may publish in the future.

Countries citing papers authored by Yau-Tuen Chan

Since Specialization
Citations

This map shows the geographic impact of Yau-Tuen Chan'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 Yau-Tuen Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yau-Tuen Chan 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