Min‐Sun Jin

About

Min‐Sun Jin is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Min‐Sun Jin has authored 30 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 8 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Min‐Sun Jin’s work include Cancer Cells and Metastasis (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Molecular Biology Techniques and Applications (4 papers). Min‐Sun Jin is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Molecular Biology Techniques and Applications (4 papers). Min‐Sun Jin collaborates with scholars based in South Korea, United States and Cyprus. Min‐Sun Jin's co-authors include Han Suk Ryu, Yul Ri Chung, Byung Joo Song, Bong Joo Kang, Seock‐Ah Im, Ahwon Lee, Sung Hun Kim, Hyeong‐Gon Moon, Huabing Qi and X. Du and has published in prestigious journals such as PLoS ONE, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Co-authorship network of co-authors of Min‐Sun Jin i

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Fields of papers citing papers by Min‐Sun Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Sun Jin. 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 Min‐Sun Jin. The network helps show where Min‐Sun Jin may publish in the future.

Countries citing papers authored by Min‐Sun Jin

Since Specialization

Citations

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