Naijun Sha

22 papers and 764 indexed citations i.

About

Naijun Sha is a scholar working on Statistics and Probability, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Naijun Sha has authored 22 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Molecular Biology and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Naijun Sha’s work include Statistical Distribution Estimation and Applications (9 papers), Gene expression and cancer classification (7 papers) and Reliability and Maintenance Optimization (6 papers). Naijun Sha is often cited by papers focused on Statistical Distribution Estimation and Applications (9 papers), Gene expression and cancer classification (7 papers) and Reliability and Maintenance Optimization (6 papers). Naijun Sha collaborates with scholars based in United States, China and United Kingdom. Naijun Sha's co-authors include Marina Vannucci, Mahlet G. Tadesse, Bani K. Mallick, Edward R. Dougherty, Philip J. Brown, Rong Pan, Terrance D. Savitsky, Francesco Falciani, Hua Liang and I. Dragoni and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Naijun Sha i

Fields of papers citing papers by Naijun Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naijun Sha

Since Specialization
Citations

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