Sun Mi Kim

158 papers and 3.2k indexed citations i.

About

Sun Mi Kim is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Sun Mi Kim has authored 158 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Pathology and Forensic Medicine, 44 papers in Radiology, Nuclear Medicine and Imaging and 38 papers in Cancer Research. Recurrent topics in Sun Mi Kim’s work include Breast Lesions and Carcinomas (49 papers), Breast Cancer Treatment Studies (36 papers) and AI in cancer detection (32 papers). Sun Mi Kim is often cited by papers focused on Breast Lesions and Carcinomas (49 papers), Breast Cancer Treatment Studies (36 papers) and AI in cancer detection (32 papers). Sun Mi Kim collaborates with scholars based in South Korea, United States and Canada. Sun Mi Kim's co-authors include Jeong Young Park, Mijung Jang, Nariya Cho, Bo La Yun, Woo Kyung Moon, Joo Hee, Sang Hoon Kim, So Yeon Park, Eunyoung Kang and Hyosun Lee and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

Co-authorship network of co-authors of Sun Mi Kim i

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Fields of papers citing papers by Sun Mi Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sun Mi Kim

Since Specialization

Citations

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