Min-Ki Seong
Impact in
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- Breast Cancer Treatment Studies
- Cancer, Hypoxia, and Metabolism
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- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
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- Breast Cancer Treatment Studies 10
- Cancer, Hypoxia, and Metabolism 3
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- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Hyun‐Ah Kim (28 shared papers)Woo Chul Noh (26 shared papers)Hyesil Seol (12 shared papers)Eun‐Kyu Kim (10 shared papers)Jae‐Sung Kim (7 shared papers)In‐Chul Park (15 shared papers)Jin Kyung Lee (6 shared papers)Chan Sub Park (14 shared papers)
- Journals
- Breast Cancer Research and Treatment (3 papers)Oncotarget (3 papers)Anticancer Research (3 papers)Biochemical and Biophysical Research Communications (2 papers)Endocrine Connections (2 papers)
- Partner nations
- South KoreaJapanTaiwan
In The Last Decade
Min-Ki Seong
32 papers receiving 440 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 119
- Oncology 118
- Radiology, Nuclear Medicine and Imaging 89
- Health Informatics 5
- Dermatology 20
Countries citing papers authored by Min-Ki Seong
This map shows the geographic impact of Min-Ki Seong'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-Ki Seong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Ki Seong more than expected).
Fields of papers citing papers by Min-Ki Seong
This network shows the impact of papers produced by Min-Ki Seong. 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-Ki Seong. The network helps show where Min-Ki Seong may publish in the future.
Co-authors
The 25 scholars most cited alongside Min-Ki Seong, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2016 | 54 | |
| 3 | 2020 | 36 | |
| 4 | 2020 | 28 | |
| 5 | 2015 | 25 | |
| 6 | 2018 | 23 | |
| 7 | 2021 | 23 | |
| 8 | 2016 | 21 | |
| 9 | 2015 | 16 | |
| 10 | 2015 | 15 | |
| 11 | 2014 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2015 | 13 | |
| 16 | Phosphorylated S6 kinase-1: a breast cancer marker predicting resistance to neoadjuvant chemotherapy. | 2013 | 12 |
| 17 | 2023 | 11 | |
| 18 | 2018 | 6 | |
| 19 | Prognostic Value of Anti-Müllerian Hormone and Inhibin B in Patients with Premenopausal Hormone Receptor-positive Breast Cancer. | 2016 | 6 |
| 20 | 2021 | 5 |
About Min-Ki Seong
Min-Ki Seong is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 444 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), HER2/EGFR in Cancer Research (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Medical Imaging Techniques and Applications (3 papers), Advanced Breast Cancer Therapies (3 papers), Cancer-related Molecular Pathways (3 papers), Breast Lesions and Carcinomas (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (119 citations), Oncology (118 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Health Informatics (5 citations) and Dermatology (20 citations). Min-Ki Seong has collaborated with scholars based in South Korea, Japan and Taiwan. Frequent co-authors include Hyun‐Ah Kim, Woo Chul Noh, Hyesil Seol, Eun‐Kyu Kim, Jae‐Sung Kim, In‐Chul Park, Jin Kyung Lee, Chan Sub Park, Chang Woon Choi and Sang‐Gu Hwang. Their work appears in journals such as Breast Cancer Research and Treatment, Oncotarget, Anticancer Research, Biochemical and Biophysical Research Communications and Endocrine Connections.
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.