Ryan Tai

15 papers and 537 indexed citations i.

About

Ryan Tai is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ryan Tai has authored 15 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ryan Tai’s work include Radiomics and Machine Learning in Medical Imaging (2 papers), Breast Lesions and Carcinomas (1 paper) and Central Venous Catheters and Hemodialysis (1 paper). Ryan Tai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Breast Lesions and Carcinomas (1 paper) and Central Venous Catheters and Hemodialysis (1 paper). Ryan Tai collaborates with scholars based in United States and France. Ryan Tai's co-authors include Claude Matuchansky, Marc Lémann, Yoram Bouhnik, G Scemama, R Modigliani, J Y Mary, J C Rambaud, Kanako K. Kumamaru, Beatrice Trotman‐Dickenson and Ruth Dunne and has published in prestigious journals such as The Lancet, Radiology and American Journal of Roentgenology.

In The Last Decade

Co-authorship network of co-authors of Ryan Tai i

Fields of papers citing papers by Ryan Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Tai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Tai. The network helps show where Ryan Tai may publish in the future.

Countries citing papers authored by Ryan Tai

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025