Statistics in Biosciences

361 papers and 2.6k indexed citations

About

The 361 papers published in Statistics in Biosciences in the last decades have received a total of 2.6k indexed citations. Papers published in Statistics in Biosciences usually cover Statistics and Probability (203 papers), Molecular Biology (90 papers) and Economics and Econometrics (49 papers) specifically the topics of Statistical Methods and Inference (124 papers), Statistical Methods in Clinical Trials (93 papers) and Statistical Methods and Bayesian Inference (79 papers). The most active scholars publishing in Statistics in Biosciences are John D. Kalbfleisch, Hein Putter, Hans C. van Houwelingen, Robert A. Wolfe, Yi‐Juan Hu, Wei Sun, Thomas Alexander Gerds, Lloyd E. Chambless, Margaret S. Pepe and Jørgen Hilden.

In The Last Decade

Statistics in Biosciences

315 papers receiving 2.5k citations

Peers

Statistics in Biosciences
Comparison fields: 5 of 173
  • Statistics and Probability 998
  • Molecular Biology 471
  • Economics and Econometrics 321
  • Artificial Intelligence 263
  • Genetics 229
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Citations per field, relative to Statistics in Biosciences
Statistics in Biosciences · 1×
Citations per year, relative to Statistics in Biosciences
Statistics in Biosciences · 1×

Countries where authors publish in Statistics in Biosciences

Since Specialization
Citations

This map shows the geographic impact of research published in Statistics in Biosciences. 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 Biosciences 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 Biosciences more than expected).

Fields of papers published in Statistics in Biosciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Statistics in Biosciences. 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 Biosciences.

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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