Fabian Dey

About

Fabian Dey is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Fabian Dey has authored 9 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 2 papers in Infectious Diseases. Recurrent topics in Fabian Dey’s work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers) and Enzyme function and inhibition (1 paper). Fabian Dey is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers) and Enzyme function and inhibition (1 paper). Fabian Dey collaborates with scholars based in Switzerland, United States and Canada. Fabian Dey's co-authors include Donald Petrey, Amedeo Caflisch, Barry Honig, Burkhard Rost and Franz Waibl and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Fabian Dey

Since Specialization

EngineeringComputer 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 produced by Fabian Dey. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fabian Dey may publish in the future.

Countries citing papers authored by Fabian Dey

Since Specialization

Citations

This map shows the geographic impact of Fabian Dey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fabian Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Dey more than expected).

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