Nian Fu

28 papers and 454 indexed citations i.

About

Nian Fu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Nian Fu has authored 28 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Epidemiology and 7 papers in Cancer Research. Recurrent topics in Nian Fu’s work include Liver Disease Diagnosis and Treatment (6 papers), Liver physiology and pathology (4 papers) and Autophagy in Disease and Therapy (4 papers). Nian Fu is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Liver physiology and pathology (4 papers) and Autophagy in Disease and Therapy (4 papers). Nian Fu collaborates with scholars based in China and United Kingdom. Nian Fu's co-authors include Linxi Chen, Yani Yin, Yi Cui, Yong Tang, Junwen Yang, Xin Zhao, Fanggen Lu, Ning Xie, Xiaowei Liu and Chunlian Wang and has published in prestigious journals such as Journal of Cellular Physiology, Clinica Chimica Acta and Pharmacological Research.

In The Last Decade

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

Fields of papers citing papers by Nian Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nian Fu

Since Specialization
Citations

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