Matthew Tudball

5 papers and 485 indexed citations i.

About

Matthew Tudball is a scholar working on Genetics, Statistics and Probability and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew Tudball has authored 5 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Statistics and Probability and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew Tudball’s work include Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Advanced Causal Inference Techniques (2 papers). Matthew Tudball is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Advanced Causal Inference Techniques (2 papers). Matthew Tudball collaborates with scholars based in United Kingdom, Norway and Finland. Matthew Tudball's co-authors include George Davey Smith, Neil M Davies, Kate Tilling, Lindsey Pike, Gareth J Griffith, Gibran Hemani, Tim Morris, Giulia Mancano, Gemma C. Sharp and Jonathan Sterne and has published in prestigious journals such as Nature Communications, Biometrika and International Journal of Epidemiology.

In The Last Decade

Co-authorship network of co-authors of Matthew Tudball i

Fields of papers citing papers by Matthew Tudball

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 Matthew Tudball. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Matthew Tudball may publish in the future.

Countries citing papers authored by Matthew Tudball

Since Specialization
Citations

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

Rankless by CCL
2025