Nathan Lay

50 papers and 1.1k indexed citations i.

About

Nathan Lay is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Lay has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pulmonary and Respiratory Medicine, 28 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Lay’s work include Prostate Cancer Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and MRI in cancer diagnosis (11 papers). Nathan Lay is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and MRI in cancer diagnosis (11 papers). Nathan Lay collaborates with scholars based in United States, Singapore and Egypt. Nathan Lay's co-authors include Ronald M. Summers, Barış Türkbey, Holger R. Roth, Peter A. Pinto, Peter L. Choyke, Bradford J. Wood, Le Lü, Andrew Sohn, Amal Farag and Adam P. Harrison and has published in prestigious journals such as Radiology, The Journal of Urology and Monthly Weather Review.

In The Last Decade

Co-authorship network of co-authors of Nathan Lay i

Fields of papers citing papers by Nathan Lay

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

Countries citing papers authored by Nathan Lay

Since Specialization
Citations

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

Rankless by CCL
2025