M Wallis

30 papers and 469 indexed citations i.

About

M Wallis is a scholar working on Oncology, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, M Wallis has authored 30 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 10 papers in Pathology and Forensic Medicine and 8 papers in Artificial Intelligence. Recurrent topics in M Wallis’s work include Global Cancer Incidence and Screening (18 papers), Breast Lesions and Carcinomas (10 papers) and AI in cancer detection (8 papers). M Wallis is often cited by papers focused on Global Cancer Incidence and Screening (18 papers), Breast Lesions and Carcinomas (10 papers) and AI in cancer detection (8 papers). M Wallis collaborates with scholars based in United Kingdom, Ireland and Taiwan. M Wallis's co-authors include R. G. Blanks, R. Sinnatamby, Rosalind Given-Wilson, Sue Moss and Kenneth C. Young and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and British Journal of Cancer.

In The Last Decade

Fields of papers citing papers by M Wallis

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

Countries citing papers authored by M Wallis

Since Specialization
Citations

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

Rankless by CCL
2025