Current Drug Discovery Technologies
About
The 705 papers published in Current Drug Discovery Technologies in the last decades have received a total of 10.2k indexed citations.
Papers published in Current Drug Discovery Technologies usually cover Molecular Biology (249 papers), Computational Theory and Mathematics (138 papers) and Organic Chemistry (112 papers) specifically the topics of Computational Drug Discovery Methods (138 papers), Synthesis and biological activity (50 papers) and Monoclonal and Polyclonal Antibodies Research (32 papers). The most active scholars publishing in Current Drug Discovery Technologies are Mohammad M. Zarshenas, Abbas Mirshafiey, Mohammad Zaki Ahmad, Darja Kanduc and Prasanna Raju Yalavarthi.
In The Last Decade
Fields of papers published in Current Drug Discovery 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 Current Drug Discovery Technologies. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Current Drug Discovery Technologies
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Current Drug Discovery 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 Current Drug Discovery 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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