Yunha Kim

55 papers and 2.0k indexed citations i.

About

Yunha Kim is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Yunha Kim has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Artificial Intelligence. Recurrent topics in Yunha Kim’s work include Machine Learning in Healthcare (7 papers), Autophagy in Disease and Therapy (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Yunha Kim is often cited by papers focused on Machine Learning in Healthcare (7 papers), Autophagy in Disease and Therapy (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Yunha Kim collaborates with scholars based in South Korea, United States and France. Yunha Kim's co-authors include Hong‐Seob So, Eun‐Jung Jin, Jiyeon Han, Jinsoo Song, Dongkyun Kim, Channy Park, Hoon Ryu, Myung‐Ja Youn, Jung Jin Hwang and Jin‐Kyung Kim and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and Macromolecules.

In The Last Decade

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

Fields of papers citing papers by Yunha Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunha Kim

Since Specialization
Citations

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

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2025