Daniel Jeong
Impact in
- Otorhinolaryngology top 5%
- Sinusitis and nasal conditions
- Oral Surgery top 5%
- Dental Radiography and Imaging
- Oral and Maxillofacial Pathology
Papers in
- Oncology 23
- Pancreatic and Hepatic Oncology Research 9
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- Radiomics and Machine Learning in Medical Imaging 9
- Cardiac Imaging and Diagnostics 6
- MRI in cancer diagnosis 6
- Co-authors
- Pushkar Mehra (2 shared papers)Jin Qi (2 shared papers)Kerry Thomas (8 shared papers)Christopher J. François (4 shared papers)Albert Güveniş (1 shared paper)Jhanelle E. Gray (1 shared paper)Mahmoud A. Abdalah (1 shared paper)Matthew B. Schabath (1 shared paper)
- Journals
- Cancer Control (3 papers)Cancers (2 papers)Journal of Visualized Experiments (2 papers)European Journal of Radiology (2 papers)International Journal of Surgery (1 paper)
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Daniel Jeong
50 papers receiving 694 citations
Peers
Comparison fields: 5 of 82
- Otorhinolaryngology 127
- Oral Surgery 94
- Radiology, Nuclear Medicine and Imaging 204
- Oncology 233
- Pulmonary and Respiratory Medicine 184
Countries citing papers authored by Daniel Jeong
This map shows the geographic impact of Daniel Jeong'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 Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jeong more than expected).
Fields of papers citing papers by Daniel Jeong
This network shows the impact of papers produced by Daniel Jeong. 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 Jeong. The network helps show where Daniel Jeong may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Jeong, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2009 | 95 | |
| 3 | 2014 | 56 | |
| 4 | 2008 | 47 | |
| 5 | 2017 | 46 | |
| 6 | 2020 | 37 | |
| 7 | 2017 | 28 | |
| 8 | 2018 | 21 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2017 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2015 | 10 | |
| 20 | 2020 | 9 |
About Daniel Jeong
Daniel Jeong is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 56 papers that have together received 707 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Cardiac Imaging and Diagnostics (6 papers), MRI in cancer diagnosis (6 papers), Renal cell carcinoma treatment (5 papers), Neuroblastoma Research and Treatments (4 papers), Cardiac tumors and thrombi (4 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Otorhinolaryngology (127 citations), Oral Surgery (94 citations), Radiology, Nuclear Medicine and Imaging (204 citations), Oncology (233 citations) and Pulmonary and Respiratory Medicine (184 citations). Daniel Jeong has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Pushkar Mehra, Jin Qi, Kerry Thomas, Christopher J. François, Albert Güveniş, Jhanelle E. Gray, Mahmoud A. Abdalah, Matthew B. Schabath, Robert J. Gillies and Ilke Tunali. Their work appears in journals such as Cancer Control, Cancers, Journal of Visualized Experiments, European Journal of Radiology and International Journal of Surgery.
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.