Daniel Kim
Impact in
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- Ultrasound in Clinical Applications
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
Papers in
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- Ultrasound in Clinical Applications 27
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- Appendicitis Diagnosis and Management 4
- Emergency Medicine Education and Research 3
- Co-authors
- Kevin S. Irwin (1 shared paper)Kaveh Khoshnood (1 shared paper)Paul Olszynski (12 shared papers)Eugene G. Kholmovski (2 shared papers)Mark I. Neuman (2 shared papers)Mohammad Salehan (1 shared paper)Sonal N. Shah (2 shared papers)Changsu Kim (1 shared paper)
- Journals
- Canadian Journal of Emergency Medicine (17 papers)Journal of the Association for Information Systems (10 papers)JAMA Surgery (3 papers)Scientific Reports (2 papers)Journal of Cardiovascular Magnetic Resonance (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Daniel Kim
136 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 146
- Critical Care and Intensive Care Medicine 261
- Internal Medicine 82
- Cardiology and Cardiovascular Medicine 356
- Aging 22
- Emergency Medicine 94
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-authors
The 25 scholars most cited alongside Daniel Kim, 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 357 | |
| 2 | 2014 | 262 | |
| 3 | 2009 | 137 | |
| 4 | 1995 | 100 | |
| 5 | 2010 | 75 | |
| 6 | 2012 | 72 | |
| 7 | 2019 | 72 | |
| 8 | 2010 | 70 | |
| 9 | 2019 | 70 | |
| 10 | 2017 | 67 | |
| 11 | 2015 | 65 | |
| 12 | 2019 | 65 | |
| 13 | 2015 | 64 | |
| 14 | 1994 | 51 | |
| 15 | 2018 | 50 | |
| 16 | 2011 | 48 | |
| 17 | 2022 | 44 | |
| 18 | 2017 | 41 | |
| 19 | 2013 | 38 | |
| 20 | 2018 | 37 |
About Daniel Kim
Daniel Kim is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine, Information Systems and Management, Urology and Infectious Diseases, having authored 147 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (27 papers), Technology Adoption and User Behaviour (7 papers), Advanced MRI Techniques and Applications (6 papers), Appendicitis Diagnosis and Management (4 papers), Information and Cyber Security (4 papers), Gut microbiota and health (4 papers), Emergency Medicine Education and Research (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (261 citations), Internal Medicine (82 citations), Cardiology and Cardiovascular Medicine (356 citations), Aging (22 citations) and Emergency Medicine (94 citations). Daniel Kim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Kevin S. Irwin, Kaveh Khoshnood, Paul Olszynski, Eugene G. Kholmovski, Mark I. Neuman, Mohammad Salehan, Sonal N. Shah, Changsu Kim, Ravi Ranjan and Richard G. Bachur. Their work appears in journals such as Canadian Journal of Emergency Medicine, Journal of the Association for Information Systems, JAMA Surgery, Scientific Reports and Journal of Cardiovascular Magnetic Resonance.
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.