Hyeoneui Kim

80 papers and 1.8k indexed citations i.

About

Hyeoneui Kim is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Hyeoneui Kim has authored 80 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 20 papers in Artificial Intelligence and 16 papers in General Health Professions. Recurrent topics in Hyeoneui Kim’s work include Biomedical Text Mining and Ontologies (27 papers), Electronic Health Records Systems (15 papers) and Nursing Diagnosis and Documentation (15 papers). Hyeoneui Kim is often cited by papers focused on Biomedical Text Mining and Ontologies (27 papers), Electronic Health Records Systems (15 papers) and Nursing Diagnosis and Documentation (15 papers). Hyeoneui Kim collaborates with scholars based in United States, South Korea and United Kingdom. Hyeoneui Kim's co-authors include Lucila Ohno‐Machado, Tsung-Ting Kuo, Qing Zeng‐Treitler, Nansu Zong, Olivier Harismendy, Victoria Ngo, Eun-Kyung Kim, Alla Keselman, Sergey Goryachev and Xiaoqian Jiang and has published in prestigious journals such as Nature Genetics, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Hyeoneui Kim i

Fields of papers citing papers by Hyeoneui Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hyeoneui Kim

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025