Ka‐Fai To

571 papers and 33.5k indexed citations i.

About

Ka‐Fai To is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Ka‐Fai To has authored 571 papers receiving a total of 33.5k indexed citations (citations by other indexed papers that have themselves been cited), including 234 papers in Molecular Biology, 166 papers in Oncology and 130 papers in Surgery. Recurrent topics in Ka‐Fai To’s work include Epigenetics and DNA Methylation (60 papers), RNA modifications and cancer (57 papers) and Cancer-related molecular mechanisms research (51 papers). Ka‐Fai To is often cited by papers focused on Epigenetics and DNA Methylation (60 papers), RNA modifications and cancer (57 papers) and Cancer-related molecular mechanisms research (51 papers). Ka‐Fai To collaborates with scholars based in Hong Kong, China and United States. Ka‐Fai To's co-authors include Joseph J.�Y. Sung, Kwok Wai Lo, Wai K. Leung, Jun Yu, Enders K. Ng, Joanna H. Tong, Anthony W.H. Chan, Francis K.L. Chan, Paul K.S. Chan and Paul B.S. Lai and has published in prestigious journals such as Cell, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Ka‐Fai To i

Fields of papers citing papers by Ka‐Fai To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka‐Fai To. 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 Ka‐Fai To. The network helps show where Ka‐Fai To may publish in the future.

Countries citing papers authored by Ka‐Fai To

Since Specialization
Citations

This map shows the geographic impact of Ka‐Fai To'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 Ka‐Fai To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka‐Fai To 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