Ying Song

46 papers and 798 indexed citations i.

About

Ying Song is a scholar working on Molecular Biology, Aquatic Science and Immunology. According to data from OpenAlex, Ying Song has authored 46 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Aquatic Science and 8 papers in Immunology. Recurrent topics in Ying Song’s work include Aquaculture Nutrition and Growth (10 papers), Alcohol Consumption and Health Effects (8 papers) and Crustacean biology and ecology (5 papers). Ying Song is often cited by papers focused on Aquaculture Nutrition and Growth (10 papers), Alcohol Consumption and Health Effects (8 papers) and Crustacean biology and ecology (5 papers). Ying Song collaborates with scholars based in China, United States and Australia. Ying Song's co-authors include Noelani Laycock, M. Obaidul Hakim, Rosemarie Osborne, Charles J. Doillon, May Griffith, Mitchell A. Watsky, Réjean Munger, Jian G. Qin, Liqiao Chen and Xiaodan Wang and has published in prestigious journals such as Science, Gastroenterology and Journal of the American College of Cardiology.

In The Last Decade

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

Fields of papers citing papers by Ying Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Song

Since Specialization
Citations

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