Ahrum Min
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
-
- DNA Repair Mechanisms
- Histone Deacetylase Inhibitors Research
- Cancer therapeutics and mechanisms
- CRISPR and Genetic Engineering
Papers in
- Oncology 28
- PARP inhibition in cancer therapy 14
- Cancer-related Molecular Pathways 5
- HER2/EGFR in Cancer Research 3
-
- DNA Repair Mechanisms 13
- Cancer therapeutics and mechanisms 3
- Co-authors
- Seock‐Ah Im (33 shared papers)Seock Ah Im (2 shared papers)Do‐Youn Oh (16 shared papers)Yung‐Jue Bang (14 shared papers)Tae‐Yong Kim (12 shared papers)Mark J. O’Connor (6 shared papers)Kyung-Hun Lee (8 shared papers)Sae‐Won Han (13 shared papers)
- Journals
- Cancer Research (7 papers)Cancer Research and Treatment (5 papers)Molecular Cancer Therapeutics (4 papers)Breast Cancer Research and Treatment (3 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Ahrum Min
36 papers receiving 952 citations
Peers
Comparison fields: 5 of 68
- Oncology 635
- Molecular Biology 634
- Cancer Research 123
- Pulmonary and Respiratory Medicine 181
- Pathology and Forensic Medicine 78
Countries citing papers authored by Ahrum Min
This map shows the geographic impact of Ahrum 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 Ahrum Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahrum Min more than expected).
Fields of papers citing papers by Ahrum Min
This network shows the impact of papers produced by Ahrum 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 Ahrum Min. The network helps show where Ahrum Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Ahrum 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 143 | |
| 2 | 2013 | 109 | |
| 3 | 2017 | 105 | |
| 4 | 2020 | 101 | |
| 5 | 2020 | 56 | |
| 6 | 2018 | 55 | |
| 7 | 2012 | 50 | |
| 8 | 2016 | 49 | |
| 9 | 2015 | 36 | |
| 10 | 2017 | 33 | |
| 11 | 2016 | 26 | |
| 12 | 2020 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2018 | 15 | |
| 15 | 1970 | 15 | |
| 16 | 2018 | 15 | |
| 17 | 2019 | 15 | |
| 18 | 2016 | 13 | |
| 19 | 2012 | 12 | |
| 20 | 2020 | 9 |
About Ahrum Min
Ahrum Min is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Genetics, having authored 36 papers that have together received 957 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (14 papers), DNA Repair Mechanisms (13 papers), Cancer-related Molecular Pathways (5 papers), Advanced Breast Cancer Therapies (5 papers), Cancer therapeutics and mechanisms (3 papers), HER2/EGFR in Cancer Research (3 papers), BRCA gene mutations in cancer (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Oncology (635 citations), Molecular Biology (634 citations), Cancer Research (123 citations), Pulmonary and Respiratory Medicine (181 citations) and Pathology and Forensic Medicine (78 citations). Ahrum Min has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seock‐Ah Im, Seock Ah Im, Do‐Youn Oh, Yung‐Jue Bang, Tae‐Yong Kim, Mark J. O’Connor, Kyung-Hun Lee, Sae‐Won Han, Seongyeong Kim and Hee Jun Kim. Their work appears in journals such as Cancer Research, Cancer Research and Treatment, Molecular Cancer Therapeutics, Breast Cancer Research and Treatment and Scientific Reports.
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.