Daniel Kim
- Radiology, Nuclear Medicine and Imaging top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Computational Mechanics
- Co-authors
- Edward DiBellaRuth LimGanesh AdluruDaniel K. SodicksonMonvadi B. SrichaiJames CarrLi FengRicardo Otazo
- Topics
- Advanced MRI Techniques and Applications (50 papers)Cardiac Imaging and Diagnostics (38 papers)Atomic and Subatomic Physics Research (10 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicineComputational Mathematics
- Journals
- Journal of the American College of CardiologyRadiologyInternational Journal of Molecular Sciences
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Daniel Kim
59 papers receiving 747 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 641
- Cardiology and Cardiovascular Medicine 227
- Atomic and Molecular Physics, and Optics 145
- Biomedical Engineering 91
- Computational Mechanics 56
Countries citing papers authored by Daniel Kim
This map shows the geographic impact of Daniel Kim'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 Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kim more than expected).
Fields of papers citing papers by Daniel Kim
This network shows the impact of papers produced by Daniel Kim. 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 Kim. The network helps show where Daniel Kim may publish in the future.
Co-authorship network of co-authors of Daniel Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kim. A scholar is included among the top collaborators of Daniel Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Kim. Daniel Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 39 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 6 | |
| 19 | 175 | |
| 20 | 12 |
About Daniel Kim
Daniel Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Health Informatics, having authored 63 papers that have together received 751 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (50 papers), Cardiac Imaging and Diagnostics (38 papers) and Atomic and Subatomic Physics Research (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (641 citations), Cardiology and Cardiovascular Medicine (227 citations) and Computational Mathematics (4 citations). Daniel Kim has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Edward DiBella, Ruth Lim, Ganesh Adluru, Daniel K. Sodickson, Monvadi B. Srichai, James Carr, Li Feng, Ricardo Otazo, Wilson King and A. Marc Harrison. Their work appears in journals such as Journal of the American College of Cardiology, Radiology and International Journal of Molecular Sciences.
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.