Kin Chan

38 papers and 1.6k indexed citations i.

About

Kin Chan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kin Chan has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Kin Chan’s work include CRISPR and Genetic Engineering (6 papers), MicroRNA in disease regulation (6 papers) and Cancer Genomics and Diagnostics (6 papers). Kin Chan is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), MicroRNA in disease regulation (6 papers) and Cancer Genomics and Diagnostics (6 papers). Kin Chan collaborates with scholars based in Hong Kong, United States and China. Kin Chan's co-authors include Dmitry A. Gordenin, Melvin Toh, Steven A. Roberts, Simon Law, Joan F. Sterling, Michael A. Resnick, Leszek J. Klimczak, Ewa P. Malc, David C. Fargo and Piotr A. Mieczkowski and has published in prestigious journals such as Nature Genetics, Nature Communications and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Kin Chan i

Fields of papers citing papers by Kin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kin Chan

Since Specialization
Citations

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