Fei Song

64 papers and 1.1k indexed citations i.

About

Fei Song is a scholar working on Immunology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Fei Song has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 27 papers in Aquatic Science and 12 papers in Molecular Biology. Recurrent topics in Fei Song’s work include Aquaculture disease management and microbiota (28 papers), Aquaculture Nutrition and Growth (26 papers) and Reproductive biology and impacts on aquatic species (9 papers). Fei Song is often cited by papers focused on Aquaculture disease management and microbiota (28 papers), Aquaculture Nutrition and Growth (26 papers) and Reproductive biology and impacts on aquatic species (9 papers). Fei Song collaborates with scholars based in China, United States and Germany. Fei Song's co-authors include Kangsen Mai, Gen He, Huihui Zhou, Gerd Sutter, Robert Fux, Asisa Volz, Dandan Xu, Peng Yang, Wenqiang Wang and Stephan Becker and has published in prestigious journals such as Advanced Materials, PLoS ONE and The Science of The Total Environment.

In The Last Decade

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

Fields of papers citing papers by Fei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Song

Since Specialization
Citations

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