Song Fu

11 papers and 385 indexed citations i.

About

Song Fu is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Song Fu has authored 11 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Song Fu’s work include Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (3 papers) and Metabolism and Genetic Disorders (2 papers). Song Fu is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (3 papers) and Metabolism and Genetic Disorders (2 papers). Song Fu collaborates with scholars based in China, United States and Taiwan. Song Fu's co-authors include Jordi Camps, Hui Jiang, Marcin P. Walkiewicz, Minh Bui, Yamini Dalal, Thomas Ried, Shanshan Liu, Myong‐Hee Sung, Songjoon Baek and Qinghua Liu and has published in prestigious journals such as The EMBO Journal, Cell Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

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

Fields of papers citing papers by Song Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Fu

Since Specialization
Citations

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