Jun S. Liu

454 papers and 41.3k indexed citations i.

About

Jun S. Liu is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Jun S. Liu has authored 454 papers receiving a total of 41.3k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Molecular Biology, 72 papers in Statistics and Probability and 68 papers in Artificial Intelligence. Recurrent topics in Jun S. Liu’s work include Gene expression and cancer classification (49 papers), Bayesian Methods and Mixture Models (45 papers) and Statistical Methods and Inference (38 papers). Jun S. Liu is often cited by papers focused on Gene expression and cancer classification (49 papers), Bayesian Methods and Mixture Models (45 papers) and Statistical Methods and Inference (38 papers). Jun S. Liu collaborates with scholars based in United States, China and Singapore. Jun S. Liu's co-authors include X. Shirley Liu, Taiwen Li, Stuart L. Schreiber, Bo Li, Rong Chen, Jeff Friedman, Irving L. Weissman, Ming Hu, Wing Hung Wong and Bing Ren and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Jun S. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun S. Liu. A scholar is included among the top collaborators of Jun S. Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun S. Liu. Jun S. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Jun S. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun S. Liu. 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 Jun S. Liu. The network helps show where Jun S. Liu may publish in the future.

Countries citing papers authored by Jun S. Liu

Since Specialization
Citations

This map shows the geographic impact of Jun S. Liu'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 Jun S. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun S. Liu 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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2026