Tik Shing Cheung

12 papers and 251 indexed citations i.

About

Tik Shing Cheung is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Tik Shing Cheung has authored 12 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Tik Shing Cheung’s work include Immune cells in cancer (4 papers), Mesenchymal stem cell research (3 papers) and Phagocytosis and Immune Regulation (2 papers). Tik Shing Cheung is often cited by papers focused on Immune cells in cancer (4 papers), Mesenchymal stem cell research (3 papers) and Phagocytosis and Immune Regulation (2 papers). Tik Shing Cheung collaborates with scholars based in United Kingdom, United States and Germany. Tik Shing Cheung's co-authors include Francesco Dazzi, Chiara Giacomini, Antonio Galleu, Martin Bornhäuser, Marc D. Bullock, Gareth J. Thomas, Christian H. Ottensmeier, Nathan Curtis, Isabel Reading and John Primrose and has published in prestigious journals such as British Journal of Cancer, Science Translational Medicine and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Tik Shing Cheung i

Fields of papers citing papers by Tik Shing Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tik Shing Cheung. 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 Tik Shing Cheung. The network helps show where Tik Shing Cheung may publish in the future.

Countries citing papers authored by Tik Shing Cheung

Since Specialization
Citations

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