Min‐Sun Jin
Impact in
- Health Informatics top 10%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 10
-
- Molecular Biology Techniques and Applications 3
- Co-authors
- Han Suk Ryu (18 shared papers)Hyeong‐Gon Moon (5 shared papers)Wonshik Han (4 shared papers)Yul Ri Chung (4 shared papers)Bong Joo Kang (3 shared papers)Byung Joo Song (2 shared papers)Sung Hun Kim (3 shared papers)Seock‐Ah Im (5 shared papers)
- Journals
- Human Molecular Genetics (2 papers)Acta Cytologica (2 papers)Tumor Biology (2 papers)Diagnostic Cytopathology (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- South KoreaUnited StatesCyprus
In The Last Decade
Min‐Sun Jin
33 papers receiving 612 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 16
- Cancer Research 147
- Geriatrics and Gerontology 20
- Oncology 121
- Radiology, Nuclear Medicine and Imaging 99
Countries citing papers authored by Min‐Sun Jin
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).
Fields of papers citing papers by Min‐Sun Jin
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.
Co-authors
The 25 scholars most cited alongside Min‐Sun Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 131 | |
| 2 | 2010 | 87 | |
| 3 | 2016 | 60 | |
| 4 | 2019 | 49 | |
| 5 | 2012 | 39 | |
| 6 | 2016 | 38 | |
| 7 | 2015 | 34 | |
| 8 | 2022 | 25 | |
| 9 | 2016 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2016 | 13 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2008 | 6 | |
| 18 | 2023 | 5 | |
| 19 | Fine Needle Aspiration Cytology of Granular Cell Tumor in Breast -A Case Report- | 2007 | 4 |
| 20 | 2023 | 4 |
About Min‐Sun Jin
Min‐Sun Jin is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Cancer Research, having authored 33 papers that have together received 618 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (3 papers), Molecular Biology Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lymphoma Diagnosis and Treatment (3 papers), AI in cancer detection (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Health Informatics (16 citations), Cancer Research (147 citations), Geriatrics and Gerontology (20 citations), Oncology (121 citations) and Radiology, Nuclear Medicine and Imaging (99 citations). Min‐Sun Jin has collaborated with scholars based in South Korea, United States and Cyprus. Frequent co-authors include Han Suk Ryu, Hyeong‐Gon Moon, Wonshik Han, Yul Ri Chung, Bong Joo Kang, Byung Joo Song, Sung Hun Kim, Seock‐Ah Im, Dong‐Young Noh and Ahwon Lee. Their work appears in journals such as Human Molecular Genetics, Acta Cytologica, Tumor Biology, Diagnostic Cytopathology and Breast Cancer Research.
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.