Brad Efron

6 papers and 1.5k indexed citations i.

About

Brad Efron is a scholar working on Molecular Biology, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Brad Efron has authored 6 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Statistics and Probability and 2 papers in Infectious Diseases. Recurrent topics in Brad Efron’s work include Statistical Methods in Clinical Trials (2 papers), Gene expression and cancer classification (2 papers) and Advanced Causal Inference Techniques (1 paper). Brad Efron is often cited by papers focused on Statistical Methods in Clinical Trials (2 papers), Gene expression and cancer classification (2 papers) and Advanced Causal Inference Techniques (1 paper). Brad Efron collaborates with scholars based in United States and United Kingdom. Brad Efron's co-authors include Irene M. Monahan, Carl Nathan, Gregory Dolganov, Philip D. Butcher, Yang Liu, Gary K. Schoolnik, Martin I. Voskuil, Dirk Schnappinger, Sabine Ehrt and Joseph A. Mangan and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Brad Efron i

Fields of papers citing papers by Brad Efron

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Brad Efron. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Brad Efron may publish in the future.

Countries citing papers authored by Brad Efron

Since Specialization
Citations

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

Rankless by CCL
2025