Fang Hua

15 papers and 392 indexed citations i.

About

Fang Hua is a scholar working on Molecular Biology, Cancer Research and Signal Processing. According to data from OpenAlex, Fang Hua has authored 15 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Signal Processing. Recurrent topics in Fang Hua’s work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers) and Circular RNAs in diseases (3 papers). Fang Hua is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers) and Circular RNAs in diseases (3 papers). Fang Hua collaborates with scholars based in China and United States. Fang Hua's co-authors include Jian Zhu, Qiang Liu, Jing Du, Sarah L. Ondrejka, Shuang Liu, Zihua Gong, Jing Fang, Chen Li, Han Liu and Frederic J. Reu and has published in prestigious journals such as Radiology, Clinica Chimica Acta and Leukemia.

In The Last Decade

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

Fields of papers citing papers by Fang Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Hua

Since Specialization
Citations

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