Erin Chinn

About

Erin Chinn is a scholar working on Pathology and Forensic Medicine, Epidemiology and Oncology. According to data from OpenAlex, Erin Chinn has authored 4 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pathology and Forensic Medicine, 1 paper in Epidemiology and 1 paper in Oncology. Recurrent topics in Erin Chinn’s work include COVID-19 diagnosis using AI (1 paper), Animal Behavior and Reproduction (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Erin Chinn is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Animal Behavior and Reproduction (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Erin Chinn collaborates with scholars based in United States. Erin Chinn's co-authors include Rima Arnaout, Anita J. Moon‐Grady, Aaron Rundus, Donald H. Owings and Sanjay S. Joshi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Urology.

In The Last Decade

Fields of papers citing papers by Erin Chinn

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

Countries citing papers authored by Erin Chinn

Since Specialization

Citations

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

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