Drug Discovery Today Technologies
About
The 588 papers published in Drug Discovery Today Technologies in the last decades have received a total of 19.8k indexed citations.
Papers published in Drug Discovery Today Technologies usually cover Molecular Biology (370 papers), Computational Theory and Mathematics (136 papers) and Radiology, Nuclear Medicine and Imaging (84 papers) specifically the topics of Computational Drug Discovery Methods (136 papers), Monoclonal and Polyclonal Antibodies Research (62 papers) and Chemical Synthesis and Analysis (49 papers). The most active scholars publishing in Drug Discovery Today Technologies are Christopher A. Lipinski, Guy Van den Mooter, Mariell Pettersson, Craig M. Crews, Alexander T. Florence, José Luis Martínez, Shilpa Sant, Paul A. Johnston, Vladimir P. Torchilin and N. Joan Abbott.
In The Last Decade
Fields of papers published in Drug Discovery Today Technologies
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 Drug Discovery Today Technologies. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Drug Discovery Today Technologies
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Drug Discovery Today Technologies. 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 Drug Discovery Today Technologies 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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