Tieying Song

About

Tieying Song is a scholar working on Physiology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Tieying Song has authored 32 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Animal Science and Zoology. Recurrent topics in Tieying Song’s work include Pain Mechanisms and Treatments (9 papers), Viral Diseases in Livestock and Poultry (5 papers) and Aquaculture disease management and microbiota (4 papers). Tieying Song is often cited by papers focused on Pain Mechanisms and Treatments (9 papers), Viral Diseases in Livestock and Poultry (5 papers) and Aquaculture disease management and microbiota (4 papers). Tieying Song collaborates with scholars based in China, Sweden and Nigeria. Tieying Song's co-authors include Ulla Rasmussen, Weiwen Zheng, Torsten Eriksson, Zaiwang Zhang, Wenli Wang, Jun Ge, Xi Chen, Jinxian Yang, Jun Tian and Birgitta Bergman and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and FEMS Microbiology Ecology.

In The Last Decade

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

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Fields of papers citing papers by Tieying Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tieying Song

Since Specialization

Citations

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