Statistics in Biosciences

3k citations
380 papers · · active since 1996

Impact in

  • Computational Mathematics top 10%
  • Statistics and Probability top 5%
    • Statistical Methods in Clinical Trials
    • Statistical Methods and Inference
    • Advanced Causal Inference Techniques
    • Statistical Methods and Bayesian Inference
    • Statistical Methods in Epidemiology

Papers in

  • Statistics and Probability 264
    • Statistical Methods in Clinical Trials 93
    • Statistical Methods and Inference 77
    • Statistical Methods and Bayesian Inference 59
    • Advanced Causal Inference Techniques 47
    • Statistical Methods in Epidemiology 31
    • Statistical Distribution Estimation and Applications 22
  • Computational Mathematics 3
Top scholars
Hein PutterHans C. van HouwelingenJohn D. KalbfleischRobert A. WolfeLloyd E. ChamblessYi‐Juan HuWei SunZiding Feng

In The Last Decade

Statistics in Biosciences

333 papers receiving 3k citations

Peers

Statistics in Biosciences
Comparison fields: 5 of 162
  • Computational Mathematics 82
  • Statistics and Probability 1.4k
  • Health Information Management 83
  • Modeling and Simulation 47
  • Statistics, Probability and Uncertainty 64
Replace Statistical Analysis and Data Mining The ASA Data Science Journal with:
Statistical Analysis and Data Mining The ASA Data Science Journal United States
Annual Review of Statistics and Its Application United States
Statistical Modelling United States
Advances in Data Analysis and Classification Italy
Behaviormetrika Japan
Statistical Methodology United States
International Journal of Data Mining and Bioinformatics China
The International Journal of Biostatistics United States
Emerging Themes in Epidemiology United Kingdom
IET Systems Biology China
Statistics in Biosciences relative to Statistical Analysis and Data Mining The ASA Data Science Journal United States Statistical Analysis and Data Mining The ASA Data Science Journal's profile →
Citations per field
00.5×1.5×2×2.5×
Statistical Analysis and Data Mining The ASA Data Science Journal · 1×
Citations per year

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.

About Statistics in Biosciences

The 380 papers published in Statistics in Biosciences in the last decades have received a total of 3k indexed citations . Papers published in Statistics in Biosciences usually cover Statistics and Probability (264 papers), Computational Mathematics (3 papers), Modeling and Simulation (6 papers), Molecular Biology (63 papers) and Genetics (27 papers) specifically the topics of Statistical Methods in Clinical Trials (93 papers), Statistical Methods and Inference (77 papers), Statistical Methods and Bayesian Inference (59 papers), Advanced Causal Inference Techniques (47 papers), Statistical Methods in Epidemiology (31 papers), Gene expression and cancer classification (24 papers), Genetic Associations and Epidemiology (23 papers) and Statistical Distribution Estimation and Applications (22 papers). The most active scholars publishing in Statistics in Biosciences are Hein Putter, Hans C. van Houwelingen, John D. Kalbfleisch, Robert A. Wolfe, Lloyd E. Chambless, Yi‐Juan Hu, Wei Sun, Ziding Feng, Thomas Alexander Gerds and Jørgen Hilden.

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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