Jun Kim
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Surgery top 1%
- Cervical and Thoracic Myelopathy
- Spinal Fractures and Fixation Techniques
- Scoliosis diagnosis and treatment
Papers in
- Surgery 95
- Cervical and Thoracic Myelopathy 36
- Scoliosis diagnosis and treatment 29
- Spinal Fractures and Fixation Techniques 20
-
- Spine and Intervertebral Disc Pathology 28
- Co-authors
- Samuel K. Cho (132 shared papers)Kevin Phan (38 shared papers)Nathan J. Lee (43 shared papers)Parth Kothari (33 shared papers)Samuel C. Overley (20 shared papers)Charles L. Edelstein (5 shared papers)Yunxia Tao (4 shared papers)Robert W. Schrier (4 shared papers)
- Journals
- Global Spine Journal (51 papers)Spine (22 papers)The Spine Journal (21 papers)Clinical Spine Surgery A Spine Publication (10 papers)World Neurosurgery (8 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Jun Kim
234 papers receiving 5.8k citations
Jun Kim's Hit Papers
Peers
Comparison fields: 5 of 197
- Health Informatics 404
- Surgery 2.1k
- Pathology and Forensic Medicine 862
- Geriatrics and Gerontology 125
- Nephrology 116
Countries citing papers authored by Jun Kim
This map shows the geographic impact of Jun 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 Jun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kim more than expected).
Fields of papers citing papers by Jun Kim
This network shows the impact of papers produced by Jun 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 Jun Kim. The network helps show where Jun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 258 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 333 | |
| 2 | Automated deep-neural-network surveillance of cranial images for acute neurologic events Hit paper breakdown → | 2018 | 306 |
| 3 | 2014 | 165 | |
| 4 | 2017 | 146 | |
| 5 | 2019 | 145 | |
| 6 | 2015 | 111 | |
| 7 | 2005 | 93 | |
| 8 | 2016 | 93 | |
| 9 | 2018 | 86 | |
| 10 | 2017 | 86 | |
| 11 | 2010 | 82 | |
| 12 | 2015 | 79 | |
| 13 | 2013 | 78 | |
| 14 | 2018 | 77 | |
| 15 | 1990 | 76 | |
| 16 | 2018 | 74 | |
| 17 | 2018 | 73 | |
| 18 | 2017 | 72 | |
| 19 | 2018 | 72 | |
| 20 | 2017 | 72 |
About Jun Kim
Jun Kim is a scholar working on Surgery, Pathology and Forensic Medicine, Molecular Biology, Public Health, Environmental and Occupational Health and Biomedical Engineering, having authored 258 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (36 papers), Scoliosis diagnosis and treatment (29 papers), Spine and Intervertebral Disc Pathology (28 papers), Spinal Fractures and Fixation Techniques (20 papers), Artificial Intelligence in Healthcare and Education (10 papers), Medical Imaging and Analysis (10 papers), Digital Imaging in Medicine (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Health Informatics (404 citations), Surgery (2.1k citations), Pathology and Forensic Medicine (862 citations), Geriatrics and Gerontology (125 citations) and Nephrology (116 citations). Jun Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Samuel K. Cho, Kevin Phan, Nathan J. Lee, Parth Kothari, Samuel C. Overley, Charles L. Edelstein, Yunxia Tao, Robert W. Schrier, John Di Capua and Varun Arvind. Their work appears in journals such as Global Spine Journal, Spine, The Spine Journal, Clinical Spine Surgery A Spine Publication and World Neurosurgery.
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.