Kaige Song

21 papers and 301 indexed citations i.

About

Kaige Song is a scholar working on Immunology, Molecular Biology and Ecology. According to data from OpenAlex, Kaige Song has authored 21 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Ecology. Recurrent topics in Kaige Song’s work include Aquaculture disease management and microbiota (10 papers), Viral Diseases in Livestock and Poultry (3 papers) and Fish Ecology and Management Studies (3 papers). Kaige Song is often cited by papers focused on Aquaculture disease management and microbiota (10 papers), Viral Diseases in Livestock and Poultry (3 papers) and Fish Ecology and Management Studies (3 papers). Kaige Song collaborates with scholars based in China. Kaige Song's co-authors include Gao‐Xue Wang, Fei Ling, Xiaozhou Qi, Fei Luo, Yilin Zhang, Yong Zhang, Jiayun Yao, Cheng Chen, Fei Yang and Zhongyu Zhang and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Chemical Engineering Journal.

In The Last Decade

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

Fields of papers citing papers by Kaige Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaige Song

Since Specialization
Citations

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