Deukwoo Kwon
Impact in
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- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 61
- Cancer Immunotherapy and Biomarkers 14
- Pancreatic and Hepatic Oncology Research 10
- Global Cancer Incidence and Screening 10
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- Prostate Cancer Diagnosis and Treatment 25
- Prostate Cancer Treatment and Research 22
- Lung Cancer Treatments and Mutations 10
- Co-authors
- Donald L. MillerGrant BonaviaSteven L. SimonMartha S. LinetRaphael YechieliKwang Pyo KimStephen BalterRuth A. Kleinerman
- Journals
- International Journal of Radiation Oncology*Biology*Physics (18 papers)Journal of Clinical Oncology (13 papers)Blood (6 papers)Radiation Research (5 papers)Frontiers in Oncology (5 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Deukwoo Kwon
157 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Radiology, Nuclear Medicine and Imaging 955
- Hepatology 295
- Oncology 932
- Pulmonary and Respiratory Medicine 901
- Radiological and Ultrasound Technology 130
Countries citing papers authored by Deukwoo Kwon
This map shows the geographic impact of Deukwoo Kwon'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 Deukwoo Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deukwoo Kwon more than expected).
Fields of papers citing papers by Deukwoo Kwon
This network shows the impact of papers produced by Deukwoo Kwon. 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 Deukwoo Kwon. The network helps show where Deukwoo Kwon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deukwoo Kwon, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2021 | 32 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 40 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 32 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 97 | |
| 18 | 2018 | 10 | |
| 19 | 2017 | 49 | |
| 20 | 2016 | 5 |
About Deukwoo Kwon
Deukwoo Kwon is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hepatology and Otorhinolaryngology, having authored 169 papers that have together received 3.2k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (25 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Prostate Cancer Treatment and Research (22 papers), Cancer Immunotherapy and Biomarkers (14 papers), Radiation Dose and Imaging (12 papers), Pancreatic and Hepatic Oncology Research (10 papers), Global Cancer Incidence and Screening (10 papers) and Lung Cancer Treatments and Mutations (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (955 citations), Hepatology (295 citations), Oncology (932 citations), Pulmonary and Respiratory Medicine (901 citations) and Radiological and Ultrasound Technology (130 citations). Deukwoo Kwon has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Donald L. Miller, Grant Bonavia, Steven L. Simon, Martha S. Linet, Raphael Yechieli, Kwang Pyo Kim, Stephen Balter, Ruth A. Kleinerman, Lorraine Portelance and Mark P. Little. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Blood, Radiation Research and Frontiers in 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.