Casey Ta

43 papers and 549 indexed citations i.

About

Casey Ta is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Casey Ta has authored 43 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Casey Ta’s work include Biomedical Text Mining and Ontologies (10 papers), Machine Learning in Healthcare (10 papers) and Topic Modeling (9 papers). Casey Ta is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Machine Learning in Healthcare (10 papers) and Topic Modeling (9 papers). Casey Ta collaborates with scholars based in United States, South Korea and Russia. Casey Ta's co-authors include Chunhua Weng, Andrew C. Kummel, Robert F. Mattrey, Yuko Kono, Cong Liu, Ziran Li, Tian Kang, Christopher V. Barback, Sarah L. Blair and Patrick Ryan and has published in prestigious journals such as Nucleic Acids Research, Biomaterials and Radiology.

In The Last Decade

Co-authorship network of co-authors of Casey Ta i

Fields of papers citing papers by Casey Ta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey Ta. 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 Casey Ta. The network helps show where Casey Ta may publish in the future.

Countries citing papers authored by Casey Ta

Since Specialization
Citations

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