Pu Fang

30 papers and 1.9k indexed citations i.

About

Pu Fang is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Pu Fang has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Immunology and 8 papers in Rheumatology. Recurrent topics in Pu Fang’s work include Immune cells in cancer (8 papers), Folate and B Vitamins Research (7 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). Pu Fang is often cited by papers focused on Immune cells in cancer (8 papers), Folate and B Vitamins Research (7 papers) and Atherosclerosis and Cardiovascular Diseases (6 papers). Pu Fang collaborates with scholars based in United States, China and Australia. Pu Fang's co-authors include Xiaofeng Yang, Xinyuan Li, Eric T. Choi, Luqiao Wang, Jietang Mai, Hong Wang, Xiaohua Jiang, William Y. Yang, Ying Shao and Yong Ji and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Circulation Research.

In The Last Decade

Co-authorship network of co-authors of Pu Fang i

Fields of papers citing papers by Pu Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pu Fang. 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 Pu Fang. The network helps show where Pu Fang may publish in the future.

Countries citing papers authored by Pu Fang

Since Specialization
Citations

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