Jun Won Min
Impact in
-
- Breast Cancer Treatment Studies
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- Global Cancer Incidence and Screening
- Cancer survivorship and care
- Cancer Risks and Factors
Papers in
- Oncology 12
- Cancer Risks and Factors 4
- Lymphatic System and Diseases 2
- Cancer survivorship and care 2
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- Breast Cancer Treatment Studies 9
- Co-authors
- Seung Hoon Woo (4 shared papers)Na‐Hye Myong (1 shared paper)Hyeong‐Gon Moon (7 shared papers)Wonshik Han (7 shared papers)Jihyoung Cho (6 shared papers)Yoo Seok Kim (7 shared papers)Jung Eun Lee (5 shared papers)Phil‐Sang Chung (4 shared papers)
- Journals
- Breast Cancer Research and Treatment (2 papers)ULTRASONOGRAPHY (1 paper)Diagnostic Pathology (1 paper)The Oncologist (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Jun Won Min
35 papers receiving 339 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 59
- Oncology 102
- Rehabilitation 12
- Radiology, Nuclear Medicine and Imaging 40
- Pharmaceutical Science 10
Countries citing papers authored by Jun Won Min
This map shows the geographic impact of Jun Won Min'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 Jun Won Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Won Min more than expected).
Fields of papers citing papers by Jun Won Min
This network shows the impact of papers produced by Jun Won Min. 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 Jun Won Min. The network helps show where Jun Won Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Won Min, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2015 | 45 | |
| 3 | 2011 | 37 | |
| 4 | 2016 | 30 | |
| 5 | 2021 | 25 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 17 | |
| 8 | 2016 | 15 | |
| 9 | 2022 | 12 | |
| 10 | 2019 | 9 | |
| 11 | 2016 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2010 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2025 | 4 |
About Jun Won Min
Jun Won Min is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Surgery and Molecular Biology, having authored 42 papers that have together received 344 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (6 papers), Cancer Risks and Factors (4 papers), Cancer and Skin Lesions (3 papers), Wound Healing and Treatments (2 papers), Medical Imaging Techniques and Applications (2 papers), Lymphatic System and Diseases (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Cancer Research (59 citations), Oncology (102 citations), Rehabilitation (12 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Pharmaceutical Science (10 citations). Jun Won Min has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Seung Hoon Woo, Na‐Hye Myong, Hyeong‐Gon Moon, Wonshik Han, Jihyoung Cho, Yoo Seok Kim, Jung Eun Lee, Phil‐Sang Chung, Sung‐Hwan Park and Dong‐Young Noh. Their work appears in journals such as Breast Cancer Research and Treatment, ULTRASONOGRAPHY, Diagnostic Pathology, The Oncologist 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.