Minhee Won

62 papers receiving 3.5k citations

Minhee Won's Hit Papers

Dose-Dense Temozolomide for Newly Diagnosed Glioblastoma: A Randomized Phase III Clinical Trial 2013 · 788 citations
7880+4+8Years since publication250500750

Peers

Minhee Won
Comparison fields: 5 of 99
  • Genetics 1.8k
  • Obstetrics and Gynecology 429
  • Pulmonary and Respiratory Medicine 1.0k
  • Cancer Research 425
  • Neurology 340
Replace Chang‐Ok Suh with:
Chang‐Ok Suh South Korea
Baldassarre Stea United States
Vinai Gondi United States
Ufuk Abacıoğlu Türkiye
Urs M. Lütolf Switzerland
Björn Tavelin Sweden
Y. Tsukada United States
Minako Sumi Japan
Carmen Balañá Spain
Usama Mahmood United States
Minhee Won relative to Chang‐Ok Suh South Korea Chang‐Ok Suh's profile →
Citations per field
00.5×1.5×2.4×
Chang‐Ok Suh · 1×
Citations per year

Countries citing papers authored by Minhee Won

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Minhee Won Line = papers co-authored together Minhee Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dose-Dense Temozolomide for Newly Diagnosed Glioblastoma: A Randomized Phase III Clinical Trial
Hit paper breakdown →
2013788
2 1991353
3 1991285
4 2010180
5 1990175
6 2014125
7 2019116
8 2017112
9 2015112
10 2016111
11 2013102
12 2011100
13 1994100
14 201390
15 200685
16 200883
17 201483
18 201357
19 200256
20 201351

About Minhee Won

Minhee Won is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 66 papers that have together received 3.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (44 papers), Brain Metastases and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Cancer-related cognitive impairment studies (5 papers), Cervical Cancer and HPV Research (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Advanced Radiotherapy Techniques (3 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Genetics (1.8k citations), Obstetrics and Gynecology (429 citations), Pulmonary and Respiratory Medicine (1.0k citations), Cancer Research (425 citations) and Neurology (340 citations). Minhee Won has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Minesh P. Mehta, Gerald E. Hanks, Rachelle Lanciano, Walter J. Curran, Mark R. Gilbert, Lawrence R. Coia, Deborah T. Blumenthal, Christopher J. Schultz, Terri S. Armstrong 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.

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