Tian‐Min Fu

54 papers and 2.3k indexed citations i.

About

Tian‐Min Fu is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Tian‐Min Fu has authored 54 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 13 papers in Immunology and 5 papers in Physiology. Recurrent topics in Tian‐Min Fu’s work include Inflammasome and immune disorders (8 papers), RNA modifications and cancer (7 papers) and CRISPR and Genetic Engineering (6 papers). Tian‐Min Fu is often cited by papers focused on Inflammasome and immune disorders (8 papers), RNA modifications and cancer (7 papers) and CRISPR and Genetic Engineering (6 papers). Tian‐Min Fu collaborates with scholars based in United States, China and United Kingdom. Tian‐Min Fu's co-authors include Hao Wu, Shiyu Xia, Jianbin Ruan, Alvin Lu, Longfei Wang, Chen Shen, Anna Greka, Setu M. Vora, Alex Tong and Ying Dong and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Tian‐Min Fu i

Fields of papers citing papers by Tian‐Min Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian‐Min Fu. 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 Tian‐Min Fu. The network helps show where Tian‐Min Fu may publish in the future.

Countries citing papers authored by Tian‐Min Fu

Since Specialization
Citations

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