Yun Jae Yoo

About

Yun Jae Yoo is a scholar working on Artificial Intelligence, Epidemiology and Neurology. According to data from OpenAlex, Yun Jae Yoo has authored 7 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Epidemiology and 2 papers in Neurology. Recurrent topics in Yun Jae Yoo’s work include Long-Term Effects of COVID-19 (2 papers), COVID-19 Clinical Research Studies (2 papers) and Machine Learning in Healthcare (2 papers). Yun Jae Yoo is often cited by papers focused on Long-Term Effects of COVID-19 (2 papers), COVID-19 Clinical Research Studies (2 papers) and Machine Learning in Healthcare (2 papers). Yun Jae Yoo collaborates with scholars based in United States. Yun Jae Yoo's co-authors include Maureen E. Sims, Frans J. Walther, Richard A. Moffitt, Joseph Kim, Elaine Hill, Emily Hadley, Emily Pfaff, Hannah Davis, Scott Powers and Robert Chew and has published in prestigious journals such as Nature Communications, Journal of the American Society of Nephrology and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Yun Jae Yoo i

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Fields of papers citing papers by Yun Jae Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Jae Yoo. 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 Yun Jae Yoo. The network helps show where Yun Jae Yoo may publish in the future.

Countries citing papers authored by Yun Jae Yoo

Since Specialization

Citations

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