Kam-Fai Tse

10 papers and 430 indexed citations i.

About

Kam-Fai Tse is a scholar working on Virology, Immunology and Genetics. According to data from OpenAlex, Kam-Fai Tse has authored 10 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Virology, 5 papers in Immunology and 5 papers in Genetics. Recurrent topics in Kam-Fai Tse’s work include HIV Research and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (3 papers). Kam-Fai Tse is often cited by papers focused on HIV Research and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Immune Cell Function and Interaction (3 papers). Kam-Fai Tse collaborates with scholars based in United States and Australia. Kam-Fai Tse's co-authors include B. Douglas Smith, Craig A. Dionne, Susan Jones‐Bolin, Mark J. Levis, Brenda R. Baldwin, Donald Small, Rui Zheng, Bruce Ruggeri, Vincent S. Gallicchio and Nicholas J. Birch and has published in prestigious journals such as Blood, Life Sciences and Journal of Leukocyte Biology.

In The Last Decade

Co-authorship network of co-authors of Kam-Fai Tse i

Fields of papers citing papers by Kam-Fai Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam-Fai Tse. 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 Kam-Fai Tse. The network helps show where Kam-Fai Tse may publish in the future.

Countries citing papers authored by Kam-Fai Tse

Since Specialization
Citations

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