Statistical Applications in Genetics and Molecular Biology
About
The 620 papers published in Statistical Applications in Genetics and Molecular Biology in the last decades have received a total of 26.5k indexed citations.
Papers published in Statistical Applications in Genetics and Molecular Biology usually cover Molecular Biology (461 papers), Genetics (241 papers) and Statistics and Probability (114 papers) specifically the topics of Gene expression and cancer classification (316 papers), Bioinformatics and Genomic Networks (119 papers) and Genetic Mapping and Diversity in Plants and Animals (119 papers). The most active scholars publishing in Statistical Applications in Genetics and Molecular Biology are Gordon K. Smyth, Steve Horvath, Bin Zhang, Mark J. van der Laan, Korbinian Strimmer, Juliane Schäfer, Eric C. Polley, Alan Hubbard, Robert Tibshirani and Daniela Witten.
In The Last Decade
Fields of papers published in Statistical Applications in Genetics and Molecular Biology
Since SpecializationEngineeringComputer 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 published in Statistical Applications in Genetics and Molecular Biology. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Statistical Applications in Genetics and Molecular Biology
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Statistical Applications in Genetics and Molecular Biology. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Statistical Applications in Genetics and Molecular Biology with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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