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 94
- Cervical and Thoracic Myelopathy 36
- Scoliosis diagnosis and treatment 28
- Spinal Fractures and Fixation Techniques 20
-
- Spine and Intervertebral Disc Pathology 27
- Co-authors
- Samuel K. Cho (130 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)John Di Capua (31 shared papers)Varun Arvind (40 shared papers)
- Journals
- Global Spine Journal (51 papers)Spine (22 papers)The Spine Journal (19 papers)Clinical Spine Surgery A Spine Publication (10 papers)World Neurosurgery (8 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Jun Kim
233 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 193
- Health Informatics 390
- Surgery 2.1k
- Pathology and Forensic Medicine 827
- Geriatrics and Gerontology 123
- Nephrology 111
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 254 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 310 | |
| 2 | 2018 | 279 | |
| 3 | 2014 | 159 | |
| 4 | 2017 | 140 | |
| 5 | 2019 | 140 | |
| 6 | 2015 | 110 | |
| 7 | 2016 | 92 | |
| 8 | 2005 | 87 | |
| 9 | 2018 | 86 | |
| 10 | 2017 | 86 | |
| 11 | 2010 | 80 | |
| 12 | 2015 | 78 | |
| 13 | 2018 | 75 | |
| 14 | 2013 | 74 | |
| 15 | 1990 | 73 | |
| 16 | 2018 | 73 | |
| 17 | 2017 | 72 | |
| 18 | 2017 | 72 | |
| 19 | 2018 | 72 | |
| 20 | 2017 | 70 |
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 254 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (36 papers), Scoliosis diagnosis and treatment (28 papers), Spine and Intervertebral Disc Pathology (27 papers), Spinal Fractures and Fixation Techniques (20 papers), Artificial Intelligence in Healthcare and Education (10 papers), Medical Imaging and Analysis (9 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 (390 citations), Surgery (2.1k citations), Pathology and Forensic Medicine (827 citations), Geriatrics and Gerontology (123 citations) and Nephrology (111 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, John Di Capua, Varun Arvind, Yunxia Tao and Robert W. Schrier. 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.