Hyeran Won
Impact in
- Biological Psychiatry top 10%
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Autophagy in Disease and Therapy 3
- Virology and Viral Diseases 1
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- Epigenetics and DNA Methylation 1
- Retinoids in leukemia and cellular processes 1
- Signaling Pathways in Disease 1
- Co-authors
- David C. Rubinsztein (3 shared papers)María Jiménez-Sánchez (2 shared papers)Cansu Karabiyik (1 shared paper)Maurizio Renna (1 shared paper)Ye Zhu (1 shared paper)John Skidmore (1 shared paper)Carla F. Bento (1 shared paper)Jens Füllgrabe (1 shared paper)
- Journals
- Neuron (2 papers)Vaccine X (1 paper)Biochemical Society Transactions (1 paper)Hepatology (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Hyeran Won
9 papers receiving 1.2k citations
Hyeran Won's Hit Papers
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 42
- Neurology 140
- Epidemiology 540
- Physiology 80
- Aging 27
Countries citing papers authored by Hyeran Won
This map shows the geographic impact of Hyeran Won'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 Hyeran Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyeran Won more than expected).
Fields of papers citing papers by Hyeran Won
This network shows the impact of papers produced by Hyeran Won. 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 Hyeran Won. The network helps show where Hyeran Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyeran Won, 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 | Autophagy and Neurodegeneration: Pathogenic Mechanisms and Therapeutic Opportunities Hit paper breakdown → | 2017 | 874 |
| 2 | 2011 | 93 | |
| 3 | 2023 | 74 | |
| 4 | 2011 | 54 | |
| 5 | 2011 | 46 | |
| 6 | 2013 | 41 | |
| 7 | 2012 | 26 | |
| 8 | 2011 | 19 | |
| 9 | 2024 | 1 |
About Hyeran Won
Hyeran Won is a scholar working on Epidemiology, Molecular Biology, Neurology, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Diet and metabolism studies (1 paper), Epigenetics and DNA Methylation (1 paper), Porphyrin and Phthalocyanine Chemistry (1 paper), Virology and Viral Diseases (1 paper), Nerve injury and regeneration (1 paper), Retinoids in leukemia and cellular processes (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Biological Psychiatry (42 citations), Neurology (140 citations), Epidemiology (540 citations), Physiology (80 citations) and Aging (27 citations). Hyeran Won has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include David C. Rubinsztein, María Jiménez-Sánchez, Cansu Karabiyik, Maurizio Renna, Ye Zhu, John Skidmore, Carla F. Bento, Jens Füllgrabe, Floriana Licitra and Claudia Puri. Their work appears in journals such as Neuron, Vaccine X, Biochemical Society Transactions, Hepatology and Antioxidants and Redox Signaling.
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.