Martin Day
About
Martin Day is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Genetics.
According to data from OpenAlex, Martin Day has authored 6 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 1 paper in Genetics. Recurrent topics in Martin Day’s work include Blood Pressure and Hypertension Studies (4 papers), Statistical Methods in Clinical Trials (1 paper) and Cardiovascular Function and Risk Factors (1 paper). Martin Day is often cited by papers focused on Blood Pressure and Hypertension Studies (4 papers), Statistical Methods in Clinical Trials (1 paper) and Cardiovascular Function and Risk Factors (1 paper). Martin Day collaborates with scholars based in France and Australia. Martin Day's co-authors include Gilles Châtellier, Joël Ménard, Guillaume Bobrie, Jean‐Pierre Grünfeld and Paul Landais and has published in prestigious journals such as Kidney International, Hypertension and Journal of Hypertension.
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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