Ah‐Young Kwon
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 4
- Co-authors
- Haeyoun Kang (12 shared papers)Hee Jung An (12 shared papers)Gwangil Kim (11 shared papers)Sewha Kim (4 shared papers)Jin Hyung Heo (8 shared papers)Sang Geun Jung (4 shared papers)Tae Hoen Kim (5 shared papers)Sohyun Hwang (3 shared papers)
- Journals
- Cancer Letters (1 paper)Physical review. E (1 paper)Molecular Carcinogenesis (1 paper)Europhysics Letters (EPL) (1 paper)PLoS ONE (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Ah‐Young Kwon
36 papers receiving 659 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 151
- Oncology 193
- Endocrinology, Diabetes and Metabolism 70
- Immunology 77
- Molecular Biology 253
Countries citing papers authored by Ah‐Young Kwon
This map shows the geographic impact of Ah‐Young Kwon'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 Ah‐Young Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ah‐Young Kwon more than expected).
Fields of papers citing papers by Ah‐Young Kwon
This network shows the impact of papers produced by Ah‐Young Kwon. 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 Ah‐Young Kwon. The network helps show where Ah‐Young Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ah‐Young Kwon, 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 | 127 | |
| 2 | 2016 | 101 | |
| 3 | 2017 | 54 | |
| 4 | 2015 | 43 | |
| 5 | 2024 | 29 | |
| 6 | 2015 | 25 | |
| 7 | 2021 | 25 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2017 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2016 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2016 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2021 | 7 |
About Ah‐Young Kwon
Ah‐Young Kwon is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 38 papers that have together received 664 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Bacteriophages and microbial interactions (3 papers), Ovarian cancer diagnosis and treatment (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and Myasthenia Gravis and Thymoma (2 papers). The work is most often cited by research in Cancer Research (151 citations), Oncology (193 citations), Endocrinology, Diabetes and Metabolism (70 citations), Immunology (77 citations) and Molecular Biology (253 citations). Ah‐Young Kwon has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Haeyoun Kang, Hee Jung An, Gwangil Kim, Sewha Kim, Jin Hyung Heo, Sang Geun Jung, Tae Hoen Kim, Sohyun Hwang, Sun Min Lim and Joon‐Suk Park. Their work appears in journals such as Cancer Letters, Physical review. E, Molecular Carcinogenesis, Europhysics Letters (EPL) and PLoS ONE.
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.