Nick Day

About

Nick Day is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Nick Day has authored 27 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Genetics. Recurrent topics in Nick Day’s work include Phytoestrogen effects and research (5 papers), Estrogen and related hormone effects (4 papers) and Esophageal Cancer Research and Treatment (4 papers). Nick Day is often cited by papers focused on Phytoestrogen effects and research (5 papers), Estrogen and related hormone effects (4 papers) and Esophageal Cancer Research and Treatment (4 papers). Nick Day collaborates with scholars based in United Kingdom, France and Australia. Nick Day's co-authors include Sheila Bingham, Kay‐Tee Khaw, Ailsa Welch, Nicholas J. Wareham, Angela A. Mulligan, Robert Luben, Philip B. Grace, James I. Taylor, Yen-Ling Low and Guy Launoy and has published in prestigious journals such as Gastroenterology, Journal of Nutrition and International Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Nick Day i

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Nick 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 Nick Day. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Nick Day may publish in the future.

Countries citing papers authored by Nick Day

Since Specialization

Citations

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

Explore authors with similar magnitude of impact