Daniel H. Kwon
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- PARP inhibition in cancer therapy
Papers in
- Oncology 17
- Cancer Immunotherapy and Biomarkers 6
- COVID-19 and healthcare impacts 4
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- Prostate Cancer Treatment and Research 11
- Co-authors
- Eric J. Small (20 shared papers)Hala T. Borno (16 shared papers)Gary Tse (2 shared papers)Justin R. Tse (2 shared papers)Heather H. Cheng (1 shared paper)Paul Y. Kwo (2 shared papers)Tahereh Ghaziani (2 shared papers)Alicia Y. Zhou (1 shared paper)
- Journals
- Journal of Clinical Oncology (15 papers)Urologic Oncology Seminars and Original Investigations (4 papers)JCO Oncology Practice (4 papers)JAMA Oncology (2 papers)Cancer (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Daniel H. Kwon
33 papers receiving 347 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 58
- Oncology 122
- Radiology, Nuclear Medicine and Imaging 77
- Pulmonary and Respiratory Medicine 95
- Immunology and Allergy 15
Countries citing papers authored by Daniel H. Kwon
This map shows the geographic impact of Daniel H. 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 Daniel H. Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Kwon more than expected).
Fields of papers citing papers by Daniel H. Kwon
This network shows the impact of papers produced by Daniel H. 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 Daniel H. Kwon. The network helps show where Daniel H. Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2019 | 47 | |
| 3 | 2014 | 45 | |
| 4 | 2001 | 32 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 21 | |
| 7 | 2024 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Daniel H. Kwon
Daniel H. Kwon is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and General Health Professions, having authored 40 papers that have together received 357 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Bladder and Urothelial Cancer Treatments (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Urinary and Genital Oncology Studies (4 papers), BRCA gene mutations in cancer (4 papers), COVID-19 and healthcare impacts (4 papers) and Patient-Provider Communication in Healthcare (3 papers). The work is most often cited by research in Health Informatics (58 citations), Oncology (122 citations), Radiology, Nuclear Medicine and Imaging (77 citations), Pulmonary and Respiratory Medicine (95 citations) and Immunology and Allergy (15 citations). Daniel H. Kwon has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Eric J. Small, Hala T. Borno, Gary Tse, Justin R. Tse, Heather H. Cheng, Paul Y. Kwo, Tahereh Ghaziani, Alicia Y. Zhou, Andrew Kesselman and Aya Kamaya. Their work appears in journals such as Journal of Clinical Oncology, Urologic Oncology Seminars and Original Investigations, JCO Oncology Practice, JAMA Oncology and Cancer.
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.