Saewon Chun
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
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- Cancer, Hypoxia, and Metabolism
Papers in
- Genetics 5
- Glioma Diagnosis and Treatment 5
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- Innovations in Medical Education 2
- Co-authors
- Patrick Y. Wen (2 shared papers)Ingo K. Mellinghoff (2 shared papers)Shuchi S. Pandya (2 shared papers)Islam Hassan (2 shared papers)Lori Steelman (2 shared papers)Timothy F. Cloughesy (6 shared papers)Benjamin M. Ellingson (6 shared papers)Steven Schoenfeld (1 shared paper)
- Journals
- Neuro-Oncology (3 papers)Nature Medicine (1 paper)The FASEB Journal (1 paper)NeuroImage Clinical (1 paper)Neuro-Oncology Advances (1 paper)
- Partner nations
- United StatesEgyptJordan
In The Last Decade
Saewon Chun
7 papers receiving 172 citations
Saewon Chun's Hit Papers
Peers
Comparison fields: 5 of 34
- Genetics 126
- Cancer Research 37
- Neurology 25
- Radiology, Nuclear Medicine and Imaging 25
- Pulmonary and Respiratory Medicine 24
Countries citing papers authored by Saewon Chun
This map shows the geographic impact of Saewon Chun'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 Saewon Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saewon Chun more than expected).
Fields of papers citing papers by Saewon Chun
This network shows the impact of papers produced by Saewon Chun. 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 Saewon Chun. The network helps show where Saewon Chun may publish in the future.
Co-authors
The 25 scholars most cited alongside Saewon Chun, 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 | Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trial Hit paper breakdown → | 2023 | 123 |
| 2 | 2021 | 36 | |
| 3 | 2021 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 |
About Saewon Chun
Saewon Chun is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Psychiatry and Mental health, Cancer Research and Biomedical Engineering, having authored 8 papers that have together received 173 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Anatomy and Medical Technology (2 papers), Innovations in Medical Education (2 papers), Empathy and Medical Education (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neuroblastoma Research and Treatments (1 paper), Cancer Research and Treatments (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Genetics (126 citations), Cancer Research (37 citations), Neurology (25 citations), Radiology, Nuclear Medicine and Imaging (25 citations) and Pulmonary and Respiratory Medicine (24 citations). Saewon Chun has collaborated with scholars based in United States, Egypt and Jordan. Frequent co-authors include Patrick Y. Wen, Ingo K. Mellinghoff, Shuchi S. Pandya, Islam Hassan, Lori Steelman, Timothy F. Cloughesy, Benjamin M. Ellingson, Steven Schoenfeld, Isabel Arrillaga‐Romany and Youssef Toubouti. Their work appears in journals such as Neuro-Oncology, Nature Medicine, The FASEB Journal, NeuroImage Clinical and Neuro-Oncology Advances.
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.