Run Fang

18 papers and 868 indexed citations i.

About

Run Fang is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Run Fang has authored 18 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Run Fang’s work include interferon and immune responses (7 papers), Immune Response and Inflammation (5 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Run Fang is often cited by papers focused on interferon and immune responses (7 papers), Immune Response and Inflammation (5 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Run Fang collaborates with scholars based in China and United States. Run Fang's co-authors include Zhengfan Jiang, Pengfei Gao, Yukun Guan, Xiang Zhou, Mengze Lv, Chenguang Wang, Ji‐Ming Feng, Xiaoyu Yu, Rui Zhang and Xiaohan Ning and has published in prestigious journals such as Immunity, The Journal of Immunology and Nature Cell Biology.

In The Last Decade

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

Fields of papers citing papers by Run Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Run Fang

Since Specialization
Citations

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