Genetic Analysis Biomolecular Engineering
About
The 241 papers published in Genetic Analysis Biomolecular Engineering in the last decades have received a total of 5.4k indexed citations.
Papers published in Genetic Analysis Biomolecular Engineering usually cover Molecular Biology (202 papers), Genetics (83 papers) and Plant Science (41 papers) specifically the topics of CRISPR and Genetic Engineering (56 papers), Molecular Biology Techniques and Applications (44 papers) and RNA and protein synthesis mechanisms (42 papers). The most active scholars publishing in Genetic Analysis Biomolecular Engineering are Kenneth J. Livak, Andrew Fire, Salvatore A. E. Marras, Fred Russell Kramer, Sanjay Tyagi, Grant R. Sutherland, Ann Boyle, Peter Lichter, David C. Ward and Thomas Cremer.
In The Last Decade
Fields of papers published in Genetic Analysis Biomolecular Engineering
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 Genetic Analysis Biomolecular Engineering. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Genetic Analysis Biomolecular Engineering
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Genetic Analysis Biomolecular Engineering. 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 Genetic Analysis Biomolecular Engineering 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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