Eun-Yeong Oh

9 papers and 367 indexed citations i.

About

Eun-Yeong Oh is a scholar working on Artificial Intelligence, Molecular Biology and Oncology. According to data from OpenAlex, Eun-Yeong Oh has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Eun-Yeong Oh’s work include AI in cancer detection (4 papers), Breast Lesions and Carcinomas (2 papers) and Molecular Biology Techniques and Applications (2 papers). Eun-Yeong Oh is often cited by papers focused on AI in cancer detection (4 papers), Breast Lesions and Carcinomas (2 papers) and Molecular Biology Techniques and Applications (2 papers). Eun-Yeong Oh collaborates with scholars based in United States, Canada and Sweden. Eun-Yeong Oh's co-authors include William K. Erly, Eric K. Outwater, Andrew H. Beck, Xiaoming Yang, Christine Ansell, Jovelyn Du‐Quiton, William J.M. Hrushesky, Dinah Faith T. Quiton, Patricia A. Wood and Laleh Montaser‐Kouhsari and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Eun-Yeong Oh i

Fields of papers citing papers by Eun-Yeong Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Yeong Oh. 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 Eun-Yeong Oh. The network helps show where Eun-Yeong Oh may publish in the future.

Countries citing papers authored by Eun-Yeong Oh

Since Specialization
Citations

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