Ying Tan

80 papers and 1.5k indexed citations i.

About

Ying Tan is a scholar working on Rheumatology, Nephrology and Immunology. According to data from OpenAlex, Ying Tan has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Rheumatology, 39 papers in Nephrology and 37 papers in Immunology. Recurrent topics in Ying Tan’s work include Systemic Lupus Erythematosus Research (39 papers), Renal Diseases and Glomerulopathies (38 papers) and Complement system in diseases (15 papers). Ying Tan is often cited by papers focused on Systemic Lupus Erythematosus Research (39 papers), Renal Diseases and Glomerulopathies (38 papers) and Complement system in diseases (15 papers). Ying Tan collaborates with scholars based in China, United States and Sweden. Ying Tan's co-authors include Feng Yu, Ming‐Hui Zhao, Lihua Wu, Suxia Wang, M-H Zhao, Wan-zhong Zou, Zhen Qu, Gang Liu, Menghua Chen and Di Song and has published in prestigious journals such as Science, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

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

Fields of papers citing papers by Ying Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Tan

Since Specialization
Citations

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