Yang Tai

38 papers and 501 indexed citations i.

About

Yang Tai is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Yang Tai has authored 38 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 14 papers in Hepatology and 12 papers in Molecular Biology. Recurrent topics in Yang Tai’s work include Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (8 papers) and Liver physiology and pathology (5 papers). Yang Tai is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (8 papers) and Liver physiology and pathology (5 papers). Yang Tai collaborates with scholars based in China and United States. Yang Tai's co-authors include Jinhang Gao, Chengwei Tang, Huan Tong, Hongning Wang, Zhiyin Huang, Chong Zhao, Junni Tang, Rui Liu, Chong Zhao and Can Gan and has published in prestigious journals such as Gastroenterology, Scientific Reports and Journal of Biomechanics.

In The Last Decade

Co-authorship network of co-authors of Yang Tai i

Fields of papers citing papers by Yang Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang Tai

Since Specialization
Citations

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