Ryan Day

About

Ryan Day is a scholar working on Molecular Biology, Materials Chemistry and Physiology. According to data from OpenAlex, Ryan Day has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Materials Chemistry and 6 papers in Physiology. Recurrent topics in Ryan Day’s work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (14 papers) and Alzheimer's disease research and treatments (5 papers). Ryan Day is often cited by papers focused on Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (14 papers) and Alzheimer's disease research and treatments (5 papers). Ryan Day collaborates with scholars based in United States, United Kingdom and Canada. Ryan Day's co-authors include Valerie Daggett, Jerry Tsai, Angel E. Garcı́a, Troy T. Rohn and David B. Dahl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Fields of papers citing papers by Ryan Day

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 Ryan Day. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ryan Day may publish in the future.

Countries citing papers authored by Ryan Day

Since Specialization

Citations

This map shows the geographic impact of Ryan Day'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 Ryan Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Day more than expected).

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