Martin Day

37 papers and 707 indexed citations i.

About

Martin Day is a scholar working on Food Science, Plant Science and Ecology. According to data from OpenAlex, Martin Day has authored 37 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Food Science, 12 papers in Plant Science and 10 papers in Ecology. Recurrent topics in Martin Day’s work include Fermentation and Sensory Analysis (10 papers), Horticultural and Viticultural Research (9 papers) and Bacteriophages and microbial interactions (8 papers). Martin Day is often cited by papers focused on Fermentation and Sensory Analysis (10 papers), Horticultural and Viticultural Research (9 papers) and Bacteriophages and microbial interactions (8 papers). Martin Day collaborates with scholars based in United Kingdom, Australia and Italy. Martin Day's co-authors include Andrew M. Taylor, Paul A. Smith, Marina Patriarca, Sarah Hill and Mark A. White and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Tetrahedron.

In The Last Decade

Fields of papers citing papers by Martin 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 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 Specialization
Citations

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).

Rankless by CCL
2025