Sunmi Yoon
Impact in
- Biological Psychiatry top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- RNA regulation and disease 2
- Ubiquitin and proteasome pathways 1
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Sun Shin Yi (7 shared papers)Jong‐Seok Moon (6 shared papers)Napissara Boonpraman (6 shared papers)Ik Dong Yoo (2 shared papers)Min Woo Park (2 shared papers)Jung Han Kim (1 shared paper)Junhyung Kim (1 shared paper)Chae Young Kim (3 shared papers)
- Journals
- Redox Biology (2 papers)Nutrients (1 paper)Journal of Alloys and Compounds (1 paper)Frontiers in Veterinary Science (1 paper)BMB Reports (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sunmi Yoon
13 papers receiving 733 citations
Sunmi Yoon's Hit Papers
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 30
- Neurology 87
- Cancer Research 137
- Pulmonary and Respiratory Medicine 235
- Endocrine and Autonomic Systems 30
Countries citing papers authored by Sunmi Yoon
This map shows the geographic impact of Sunmi Yoon'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 Sunmi Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunmi Yoon more than expected).
Fields of papers citing papers by Sunmi Yoon
This network shows the impact of papers produced by Sunmi Yoon. 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 Sunmi Yoon. The network helps show where Sunmi Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunmi Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NOX4 promotes ferroptosis of astrocytes by oxidative stress-induced lipid peroxidation via the impairment of mitochondrial metabolism in Alzheimer's diseases Hit paper breakdown → | 2021 | 502 |
| 2 | 2009 | 73 | |
| 3 | 2023 | 58 | |
| 4 | 2020 | 40 | |
| 5 | 2017 | 20 | |
| 6 | 2019 | 16 | |
| 7 | 2012 | 13 | |
| 8 | 2023 | 9 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 3 | |
| 11 | The Success Rate of Superior Approach Glenohumeral Injection in Patients with Frozen Shoulder | 2007 | 2 |
| 12 | 2022 | 2 | |
| 13 | 2023 | 2 |
About Sunmi Yoon
Sunmi Yoon is a scholar working on Molecular Biology, Neurology, Neurology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 743 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (2 papers), Circadian rhythm and melatonin (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), RNA regulation and disease (2 papers), Infection Control and Ventilation (1 paper), Ferroptosis and cancer prognosis (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biological Psychiatry (30 citations), Neurology (87 citations), Cancer Research (137 citations), Pulmonary and Respiratory Medicine (235 citations) and Endocrine and Autonomic Systems (30 citations). Sunmi Yoon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sun Shin Yi, Jong‐Seok Moon, Napissara Boonpraman, Ik Dong Yoo, Min Woo Park, Jung Han Kim, Junhyung Kim, Chae Young Kim, Phuong Nguyen and Kee‐Young Kim. Their work appears in journals such as Redox Biology, Nutrients, Journal of Alloys and Compounds, Frontiers in Veterinary Science and BMB 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.