Jay Newby
About
Jay Newby is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Mathematical Physics.
According to data from OpenAlex, Jay Newby has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 22 papers in Statistical and Nonlinear Physics and 7 papers in Mathematical Physics. Recurrent topics in Jay Newby’s work include stochastic dynamics and bifurcation (21 papers), Diffusion and Search Dynamics (13 papers) and Gene Regulatory Network Analysis (9 papers). Jay Newby is often cited by papers focused on stochastic dynamics and bifurcation (21 papers), Diffusion and Search Dynamics (13 papers) and Gene Regulatory Network Analysis (9 papers). Jay Newby collaborates with scholars based in United States, Canada and United Kingdom. Jay Newby's co-authors include Paul C. Bressloff, M. Gregory Forest, Samuel K. Lai, Amy S. Gladfelter and Alison Schaefer and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
In The Last Decade
Fields of papers citing papers by Jay Newby
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 citing the papers produced by Jay Newby. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jay Newby may publish in the future.
Countries citing papers authored by Jay Newby
Since SpecializationCitations
This map shows the geographic impact of Jay Newby'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 Jay Newby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Newby more than expected).
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