Ying Xim Tan

20 papers and 1.4k indexed citations i.

About

Ying Xim Tan is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ying Xim Tan has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Ying Xim Tan’s work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ying Xim Tan is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ying Xim Tan collaborates with scholars based in United States, China and Singapore. Ying Xim Tan's co-authors include Na Xiong, David H. Raulet, Dragana Cado, Nadia Guerra, Nathalie T. Joncker, Arthur Weiss, Howard Y. Chang, David J. Wong, Matthew F. Krummel and Rachel S. Friedman and has published in prestigious journals such as Science, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Co-authorship network of co-authors of Ying Xim Tan i

Fields of papers citing papers by Ying Xim Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Xim Tan. 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 Ying Xim Tan. The network helps show where Ying Xim Tan may publish in the future.

Countries citing papers authored by Ying Xim Tan

Since Specialization
Citations

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