Sun‐Mi Park
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
-
- RNA Research and Splicing 6
- Protein Degradation and Inhibitors 6
- Ubiquitin and proteasome pathways 5
-
- Coding theory and cryptography 15
- Co-authors
- Sheue-yann Cheng (15 shared papers)Michael G. Kharas (10 shared papers)Xuguang Zhu (7 shared papers)Marcus E. Peter (2 shared papers)Ernst Lengyel (2 shared papers)Mark C. Willingham (5 shared papers)Benjamin Boyerinas (1 shared paper)Christina S. Leslie (4 shared papers)
- Journals
- IEEE Transactions on Computers (4 papers)Endocrine Related Cancer (4 papers)Oncotarget (3 papers)Cancers (3 papers)American Journal of Infection Control (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sun‐Mi Park
83 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 281
- Oncology 290
- Endocrinology, Diabetes and Metabolism 166
- Molecular Biology 712
- Hematology 83
Countries citing papers authored by Sun‐Mi Park
This map shows the geographic impact of Sun‐Mi Park'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 Sun‐Mi Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Mi Park more than expected).
Fields of papers citing papers by Sun‐Mi Park
This network shows the impact of papers produced by Sun‐Mi Park. 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 Sun‐Mi Park. The network helps show where Sun‐Mi Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun‐Mi Park, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 138 | |
| 2 | 2014 | 112 | |
| 3 | 2018 | 67 | |
| 4 | 2016 | 54 | |
| 5 | 2020 | 53 | |
| 6 | 2018 | 50 | |
| 7 | 2014 | 42 | |
| 8 | 2014 | 41 | |
| 9 | 2020 | 38 | |
| 10 | 2011 | 38 | |
| 11 | 2019 | 37 | |
| 12 | 2017 | 34 | |
| 13 | 2012 | 34 | |
| 14 | 2008 | 32 | |
| 15 | 2014 | 31 | |
| 16 | 2021 | 29 | |
| 17 | 2008 | 29 | |
| 18 | 2012 | 26 | |
| 19 | 2023 | 25 | |
| 20 | 2018 | 24 |
About Sun‐Mi Park
Sun‐Mi Park is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Oncology and Endocrinology, Diabetes and Metabolism, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Coding theory and cryptography (15 papers), Cryptography and Residue Arithmetic (12 papers), Finite Group Theory Research (6 papers), RNA Research and Splicing (6 papers), Protein Degradation and Inhibitors (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (281 citations), Oncology (290 citations), Endocrinology, Diabetes and Metabolism (166 citations), Molecular Biology (712 citations) and Hematology (83 citations). Sun‐Mi Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sheue-yann Cheng, Michael G. Kharas, Xuguang Zhu, Marcus E. Peter, Ernst Lengyel, Mark C. Willingham, Benjamin Boyerinas, Christina S. Leslie, Youjia Hua and Andrea E. Murmann. Their work appears in journals such as IEEE Transactions on Computers, Endocrine Related Cancer, Oncotarget, Cancers and American Journal of Infection Control.
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.