Feng Fu

53 papers and 1.7k indexed citations i.

About

Feng Fu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Feng Fu has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Cardiology and Cardiovascular Medicine and 19 papers in Pathology and Forensic Medicine. Recurrent topics in Feng Fu’s work include Cardiac Ischemia and Reperfusion (19 papers), Mitochondrial Function and Pathology (12 papers) and Cardiovascular Function and Risk Factors (8 papers). Feng Fu is often cited by papers focused on Cardiac Ischemia and Reperfusion (19 papers), Mitochondrial Function and Pathology (12 papers) and Cardiovascular Function and Risk Factors (8 papers). Feng Fu collaborates with scholars based in China, Russia and India. Feng Fu's co-authors include Mingge Ding, Na Feng, Haifeng Zhang, Zhenhua Liu, Xiaoming Gu, Min Jia, Lele Ji, Xiaoming Wang, Jiahao Feng and Yuemin Wang and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Biomaterials.

In The Last Decade

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

Fields of papers citing papers by Feng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Fu

Since Specialization
Citations

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