Hua Fan

27 papers and 569 indexed citations i.

About

Hua Fan is a scholar working on Molecular Biology, Neurology and Cancer Research. According to data from OpenAlex, Hua Fan has authored 27 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Neurology and 6 papers in Cancer Research. Recurrent topics in Hua Fan’s work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Circular RNAs in diseases (4 papers) and Nuclear Receptors and Signaling (4 papers). Hua Fan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Circular RNAs in diseases (4 papers) and Nuclear Receptors and Signaling (4 papers). Hua Fan collaborates with scholars based in China. Hua Fan's co-authors include Junqiang Yan, Dongmei Wang, Xueqin Hao, Peizhi Ma, Yuanlong Li, Xiang Zhou, Fengqin Fang, Ming Ni, Fang Wang and Jianguo Chen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and PLANT PHYSIOLOGY.

In The Last Decade

Co-authorship network of co-authors of Hua Fan i

Fields of papers citing papers by Hua Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Fan

Since Specialization
Citations

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