Genomics Proteomics & Bioinformatics
About
The 948 papers published in Genomics Proteomics & Bioinformatics in the last decades have received a total of 31.2k indexed citations.
Papers published in Genomics Proteomics & Bioinformatics usually cover Molecular Biology (754 papers), Cancer Research (143 papers) and Genetics (132 papers) specifically the topics of Genomics and Phylogenetic Studies (162 papers), RNA and protein synthesis mechanisms (113 papers) and RNA modifications and cancer (104 papers). The most active scholars publishing in Genomics Proteomics & Bioinformatics are Jun Yu, Kin Fai Au, Anthony Rhoads, Zhang Zhang, Melissa J. Fullwood, Yiwen Fang, Iain M. Dykes, Costanza Emanueli, Zhiwu Zhang and Songnian Hu.
In The Last Decade
Fields of papers published in Genomics Proteomics & Bioinformatics
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 Genomics Proteomics & Bioinformatics. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Genomics Proteomics & Bioinformatics
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Genomics Proteomics & Bioinformatics. 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 Genomics Proteomics & Bioinformatics 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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