Martin Day
About
Martin Day is a scholar working on Endocrinology, Food Science and Molecular Medicine.
According to data from OpenAlex, Martin Day has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, 20 papers in Food Science and 17 papers in Molecular Medicine. Recurrent topics in Martin Day’s work include Salmonella and Campylobacter epidemiology (20 papers), Antibiotic Resistance in Bacteria (17 papers) and Pathogenesis and Virulence of Escherichia coli (12 papers). Martin Day is often cited by papers focused on Salmonella and Campylobacter epidemiology (20 papers), Antibiotic Resistance in Bacteria (17 papers) and Pathogenesis and Virulence of Escherichia coli (12 papers). Martin Day collaborates with scholars based in United Kingdom, Saudi Arabia and France. Martin Day's co-authors include Timothy J. Dallman, Gauri Godbole, Claire Jenkins, Katie L. Hopkins and Michel Doumith and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.
In The Last Decade
Fields of papers citing papers by Martin Day
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 Martin Day. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Martin Day may publish in the future.
Countries citing papers authored by Martin Day
Since SpecializationCitations
This map shows the geographic impact of Martin 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 Martin Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Day more than expected).
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