Daniel H. Kwon
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
- Oncology 14
- Cancer Immunotherapy and Biomarkers 6
- COVID-19 and healthcare impacts 4
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- Prostate Cancer Treatment and Research 9
- Co-authors
- Eric J. Small (20 shared papers)Hala T. Borno (16 shared papers)Tahereh Ghaziani (2 shared papers)Paul Y. Kwo (2 shared papers)Andrew Kesselman (2 shared papers)Justin R. Tse (3 shared papers)Aya Kamaya (2 shared papers)Gary Tse (2 shared papers)
- Journals
- Journal of Clinical Oncology (15 papers)Urologic Oncology Seminars and Original Investigations (4 papers)JCO Oncology Practice (4 papers)Cancer Medicine (2 papers)Cancer (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Daniel H. Kwon
36 papers receiving 369 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 56
- Oncology 87
- Radiology, Nuclear Medicine and Imaging 58
- Immunology and Allergy 15
- Pulmonary and Respiratory Medicine 72
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2014 | 50 | |
| 3 | 2019 | 47 | |
| 4 | 2001 | 33 | |
| 5 | 2021 | 27 | |
| 6 | 2019 | 24 | |
| 7 | 2024 | 20 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2017 | 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, Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 42 papers that have together received 382 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Bladder and Urothelial Cancer Treatments (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), COVID-19 and healthcare impacts (4 papers), Urinary and Genital Oncology Studies (4 papers), BRCA gene mutations in cancer (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Health Informatics (56 citations), Oncology (87 citations), Radiology, Nuclear Medicine and Imaging (58 citations), Immunology and Allergy (15 citations) and Pulmonary and Respiratory Medicine (72 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, Tahereh Ghaziani, Paul Y. Kwo, Andrew Kesselman, Justin R. Tse, Aya Kamaya, Gary Tse, Alicia Y. Zhou and Heather H. Cheng. Their work appears in journals such as Journal of Clinical Oncology, Urologic Oncology Seminars and Original Investigations, JCO Oncology Practice, Cancer Medicine 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.