Applied Microbiology and Biotechnology
About
63.0k papers covering Applied Microbiology and Biotechnology have received a total of 1.3M indexed citations since 1950.
Papers on subfields are most often about the specific topic of Antibiotic Use and Resistance, Antibiotic Resistance in Bacteria and Tannin, Tannase and Anticancer Activities and also cover the fields of Molecular Medicine, Epidemiology and Pharmacology. Papers citing papers on subfields are usually about Molecular Medicine, Epidemiology and Pharmacology. Some of the most active scholars covering Applied Microbiology and Biotechnology are Ronald N. Jones, Herman Goossens, Marin H. Kollef, Chung S. Yang and Cecilia Stålsby Lundborg.
In The Last Decade
Fields of papers citing papers about Applied Microbiology and Biotechnology
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 citing the papers covering Applied Microbiology and Biotechnology. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish papers about Applied Microbiology and Biotechnology
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research in Applied Microbiology and Biotechnology. 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 about Applied Microbiology and Biotechnology 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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