MRC Biostatistics Unit

3.8k papers and 372.7k indexed citations i.

About

In recent decades, authors affiliated with MRC Biostatistics Unit have published 3.8k papers, which have received a total of 372.7k indexed citations. Scholars at this organization have produced 695 papers in Statistics and Probability, 532 papers in Cognitive Neuroscience and 413 papers in Genetics on the topics of Statistical Methods in Clinical Trials (353 papers), Statistical Methods and Bayesian Inference (291 papers) and Genetic Associations and Epidemiology (269 papers). Their work is cited by papers focused on Cognitive Neuroscience (64.3k citations), Surgery (40.3k citations) and Epidemiology (37.3k citations). Authors at MRC Biostatistics Unit collaborate with scholars in United Kingdom, United States and The Netherlands and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of MRC Biostatistics Unit's most productive authors include Julian P. T. Higgins, Simon G. Thompson, Simon G. Thompson, Douglas G. Altman, Jonathan J Deeks, Ian R. White, Alan Baddeley, Stephen Burgess, John S. Duncan and David J. Spiegelhalter.

In The Last Decade

Fields of papers published by authors at MRC Biostatistics Unit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with MRC Biostatistics Unit at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with MRC Biostatistics Unit at the time of their publication.

Countries citing scholars working at MRC Biostatistics Unit

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at MRC Biostatistics Unit. 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 produced at MRC Biostatistics Unit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MRC Biostatistics Unit 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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