Minhee Won
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 52
- Obstetrics and Gynecology top 1%
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- Brain Metastases and Treatment 29
- Cancer-related cognitive impairment studies 6
- Radiation top 2%
- Advanced Radiotherapy Techniques 6
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 4
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- Radiomics and Machine Learning in Medical Imaging 10
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- CNS Lymphoma Diagnosis and Treatment 4
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- Cervical Cancer and HPV Research 4
- Co-authors
- Minesh P. MehtaRachelle LancianoGerald E. HanksWalter J. CurranMark R. GilbertLawrence R. CoiaDeborah T. BlumenthalTerri S. Armstrong
- Journals
- Journal of Clinical Oncology (21 papers)International Journal of Radiation Oncology*Biology*Physics (18 papers)Neuro-Oncology (14 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Minhee Won
59 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 2.0k
- Obstetrics and Gynecology 441
- Pulmonary and Respiratory Medicine 1.4k
- Radiation 364
- Cancer Research 530
Countries citing papers authored by Minhee Won
This map shows the geographic impact of Minhee 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 Minhee Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhee Won more than expected).
Fields of papers citing papers by Minhee Won
This network shows the impact of papers produced by Minhee 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 Minhee Won. The network helps show where Minhee Won may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minhee 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 43 | |
| 5 | 2019 | 114 | |
| 6 | 2018 | 25 | |
| 7 | 2015 | 16 | |
| 8 | 2015 | 106 | |
| 9 | 2014 | 115 | |
| 10 | Dose-Dense Temozolomide for Newly Diagnosed Glioblastoma: A Randomized Phase III Clinical Trialbreakdown → | 2013 | 742 |
| 11 | 2013 | 5 | |
| 12 | 2010 | 174 | |
| 13 | 2008 | 80 | |
| 14 | 2008 | 14 | |
| 15 | 2006 | 48 | |
| 16 | 2006 | 76 | |
| 17 | 2002 | 51 | |
| 18 | 1992 | 37 | |
| 19 | 1991 | 279 | |
| 20 | 1990 | 1 |
About Minhee Won
Minhee Won is a scholar working on Genetics, Structural Biology and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (52 papers), Brain Metastases and Treatment (29 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Cancer-related cognitive impairment studies (6 papers), Advanced Radiotherapy Techniques (6 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cervical Cancer and HPV Research (4 papers). The work is most often cited by research in Genetics (2.0k citations), Obstetrics and Gynecology (441 citations) and Pulmonary and Respiratory Medicine (1.4k citations). Minhee Won has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Minesh P. Mehta, Rachelle Lanciano, Gerald E. Hanks, Walter J. Curran, Mark R. Gilbert, Lawrence R. Coia, Deborah T. Blumenthal, Terri S. Armstrong, Christopher J. Schultz and Jeffrey S. Wefel. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Neuro-Oncology, Cancer and Radiotherapy and Oncology.
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.