Hailong Fu

19 papers and 728 indexed citations i.

About

Hailong Fu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Hailong Fu has authored 19 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 2 papers in Immunology. Recurrent topics in Hailong Fu’s work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Extracellular vesicles in disease (5 papers). Hailong Fu is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Extracellular vesicles in disease (5 papers). Hailong Fu collaborates with scholars based in China, Germany and United States. Hailong Fu's co-authors include Xu Zhang, Huan Yang, Hui Qian, Mei Wang, Wenrong Xu, Jiahui Mao, Bin Zhang, Zixuan Sun, Yongmin Yan and Xia Li and has published in prestigious journals such as Scientific Reports, Stem Cells and Oncotarget.

In The Last Decade

Co-authorship network of co-authors of Hailong Fu i

Fields of papers citing papers by Hailong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hailong Fu

Since Specialization
Citations

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