Tianxi Cai

299 papers and 11.6k indexed citations i.

About

Tianxi Cai is a scholar working on Statistics and Probability, Genetics and Molecular Biology. According to data from OpenAlex, Tianxi Cai has authored 299 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Statistics and Probability, 57 papers in Genetics and 55 papers in Molecular Biology. Recurrent topics in Tianxi Cai’s work include Statistical Methods and Inference (78 papers), Advanced Causal Inference Techniques (50 papers) and Statistical Methods in Clinical Trials (48 papers). Tianxi Cai is often cited by papers focused on Statistical Methods and Inference (78 papers), Advanced Causal Inference Techniques (50 papers) and Statistical Methods in Clinical Trials (48 papers). Tianxi Cai collaborates with scholars based in United States, China and Canada. Tianxi Cai's co-authors include L. J. Wei, Lü Tian, Hajime Uno, Xihong Lin, Michael C. Wu, Isaac S. Kohane, Seunggeun Lee, Michael Boehnke, Yun Li and Vivian S. Gainer and has published in prestigious journals such as Science, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Tianxi Cai i

Fields of papers citing papers by Tianxi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tianxi Cai

Since Specialization
Citations

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