Daniil Polykovskiy
About
Daniil Polykovskiy has authored 13 papers that have received a total of 702 indexed citations.
This includes 8 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 5 papers in Materials Chemistry. The topics of these papers are Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Daniil Polykovskiy is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and collaborates with scholars based in Russia, United States and Canada. Daniil Polykovskiy's co-authors include Alex Zhavoronkov, Alex Aliper, Alexander Zhebrak, Artur Kadurin and Feng Ren and has published in prestigious journals such as Chemical Science, Clinical Pharmacology & Therapeutics and Drug Discovery Today.
In The Last Decade
Fields of papers published by Daniil Polykovskiy
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
Countries citing papers authored by Daniil Polykovskiy
Since SpecializationCitations
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