Jin‐Ying Tian

46 papers and 592 indexed citations i.

About

Jin‐Ying Tian is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Jin‐Ying Tian has authored 46 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 8 papers in Plant Science and 6 papers in Epidemiology. Recurrent topics in Jin‐Ying Tian’s work include Protein Tyrosine Phosphatases (11 papers), Gout, Hyperuricemia, Uric Acid (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). Jin‐Ying Tian is often cited by papers focused on Protein Tyrosine Phosphatases (11 papers), Gout, Hyperuricemia, Uric Acid (6 papers) and Metabolism, Diabetes, and Cancer (6 papers). Jin‐Ying Tian collaborates with scholars based in China, United States and Hong Kong. Jin‐Ying Tian's co-authors include Rongya Tao, Xiaolin Zhang, Fei Ye, Fei Ye, Zhiyan Xiao, Geng-Tao Liu, Juan Li, Fei Ye, Fei Ye and Jianbo Yang and has published in prestigious journals such as British Journal of Pharmacology, Molecules and Organic Letters.

In The Last Decade

Co-authorship network of co-authors of Jin‐Ying Tian i

Fields of papers citing papers by Jin‐Ying Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin‐Ying Tian

Since Specialization
Citations

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