Caroline G. Tai

22 papers and 756 indexed citations i.

About

Caroline G. Tai is a scholar working on Oncology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Caroline G. Tai has authored 22 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Infectious Diseases and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Caroline G. Tai’s work include SARS-CoV-2 and COVID-19 Research (6 papers), Global Cancer Incidence and Screening (4 papers) and Genetic Associations and Epidemiology (3 papers). Caroline G. Tai is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Global Cancer Incidence and Screening (4 papers) and Genetic Associations and Epidemiology (3 papers). Caroline G. Tai collaborates with scholars based in United States, United Kingdom and France. Caroline G. Tai's co-authors include Viraj A. Master, Kenneth Ogan, Daniel Canter, Shishir K. Maithel, David A. Kooby, Louis M. Revenig, John F. Sweeney, Maxwell D. Taylor, Juan M. Sarmiento and Robert A. Hiatt and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Caroline G. Tai i

Fields of papers citing papers by Caroline G. Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline G. 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 Caroline G. Tai. The network helps show where Caroline G. Tai may publish in the future.

Countries citing papers authored by Caroline G. Tai

Since Specialization
Citations

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