Tie Fu Liu

28 papers and 1.3k indexed citations i.

About

Tie Fu Liu is a scholar working on Immunology, Molecular Biology and Biotechnology. According to data from OpenAlex, Tie Fu Liu has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 9 papers in Molecular Biology and 6 papers in Biotechnology. Recurrent topics in Tie Fu Liu’s work include Toxin Mechanisms and Immunotoxins (10 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Virus-based gene therapy research (5 papers). Tie Fu Liu is often cited by papers focused on Toxin Mechanisms and Immunotoxins (10 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Virus-based gene therapy research (5 papers). Tie Fu Liu collaborates with scholars based in United States, China and Hong Kong. Tie Fu Liu's co-authors include Vidula Vachharajani, Charles E. McCall, Barbara K. Yoza, Brian M. Jones, Mohamed El Gazzar, Charles E. McCall, Mark C. Willingham, Arthur E. Frankel, Jingpu Zhang and Anthony Molina and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Tie Fu Liu i

Fields of papers citing papers by Tie Fu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie Fu Liu. 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 Tie Fu Liu. The network helps show where Tie Fu Liu may publish in the future.

Countries citing papers authored by Tie Fu Liu

Since Specialization
Citations

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