Yi Tan

39 papers and 784 indexed citations i.

About

Yi Tan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Yi Tan has authored 39 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Yi Tan’s work include Reproductive System and Pregnancy (11 papers), Pregnancy and preeclampsia studies (8 papers) and Endometriosis Research and Treatment (6 papers). Yi Tan is often cited by papers focused on Reproductive System and Pregnancy (11 papers), Pregnancy and preeclampsia studies (8 papers) and Endometriosis Research and Treatment (6 papers). Yi Tan collaborates with scholars based in China, United States and Hong Kong. Yi Tan's co-authors include Sudhansu K. Dey, Sanjoy K. Das, Xiaonan Hou, Meiling Li, Dongmei Tan, Meiling Li, Bibhash C. Paria, Marilyn Davis, Sanjoy Das and Ossama Tawfik and has published in prestigious journals such as PLoS ONE, Brain Research and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Yi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yi Tan

Since Specialization
Citations

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