Statistics in Medicine

10.4k papers and 450.8k indexed citations i.

About

The 10.4k papers published in Statistics in Medicine in the last decades have received a total of 450.8k indexed citations. Papers published in Statistics in Medicine usually cover Statistics and Probability (7.3k papers), Economics and Econometrics (1.9k papers) and Management Science and Operations Research (1.3k papers) specifically the topics of Statistical Methods in Clinical Trials (3.9k papers), Statistical Methods and Bayesian Inference (3.6k papers) and Statistical Methods and Inference (3.1k papers). The most active scholars publishing in Statistics in Medicine are Julian P. T. Higgins, Simon G. Thompson, Peter C. Austin, Ralph B. D’Agostino, Patrick Royston, Robert G. Newcombe, Ian R. White, Frank E. Harrell, Robert Tibshirani and Kerry L. Lee.

In The Last Decade

Fields of papers published in Statistics in Medicine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistics in Medicine. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Statistics in Medicine.

Countries where authors publish in Statistics in Medicine

Since Specialization
Citations

This map shows the geographic impact of research published in Statistics in Medicine. 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 papers published in Statistics in Medicine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics in Medicine 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