Jason Kim
Impact in
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research
- Immunology top 10%
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
Papers in
- Rheumatology 14
- Pelvic floor disorders treatments 8
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- Robotics and Sensor-Based Localization 12
- Co-authors
- Muhammad Ayaz Anwar (1 shared paper)Masaud Shah (1 shared paper)Sangdun Choi (1 shared paper)Son‐Cheol Yu (16 shared papers)Susanne B. Nicholas (2 shared papers)Yuelan Ren (2 shared papers)Sarah Smathers (3 shared papers)Theoklis E. Zaoutis (3 shared papers)
- Journals
- The Journal of Urology (8 papers)Urology (3 papers)Neurourology and Urodynamics (3 papers)The Journal of Chemical Physics (2 papers)Clinical Orthopaedics and Related Research (2 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Jason Kim
96 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 162
- Infectious Diseases 275
- Immunology 227
- Rheumatology 134
- Health Informatics 12
- Urology 41
Countries citing papers authored by Jason Kim
This map shows the geographic impact of Jason 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 Jason Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Kim more than expected).
Fields of papers citing papers by Jason Kim
This network shows the impact of papers produced by Jason 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 Jason Kim. The network helps show where Jason Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 225 | |
| 2 | 2012 | 98 | |
| 3 | 2009 | 91 | |
| 4 | 2010 | 79 | |
| 5 | 2010 | 67 | |
| 6 | 2020 | 65 | |
| 7 | 2006 | 62 | |
| 8 | 2009 | 60 | |
| 9 | 2012 | 52 | |
| 10 | 2020 | 51 | |
| 11 | 2009 | 41 | |
| 12 | 1996 | 40 | |
| 13 | 2020 | 38 | |
| 14 | 2013 | 36 | |
| 15 | 2018 | 34 | |
| 16 | 2015 | 31 | |
| 17 | 2015 | 31 | |
| 18 | 2019 | 25 | |
| 19 | 2008 | 22 | |
| 20 | 2020 | 21 |
About Jason Kim
Jason Kim is a scholar working on Rheumatology, Aerospace Engineering, Ocean Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (12 papers), Robotics and Sensor-Based Localization (12 papers), Urinary Bladder and Prostate Research (8 papers), Pelvic floor disorders treatments (8 papers), Underwater Acoustics Research (7 papers), Robotic Path Planning Algorithms (6 papers), Foot and Ankle Surgery (5 papers) and Catalytic Processes in Materials Science (3 papers). The work is most often cited by research in Infectious Diseases (275 citations), Immunology (227 citations), Rheumatology (134 citations), Health Informatics (12 citations) and Urology (41 citations). Jason Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Muhammad Ayaz Anwar, Masaud Shah, Sangdun Choi, Son‐Cheol Yu, Susanne B. Nicholas, Yuelan Ren, Sarah Smathers, Theoklis E. Zaoutis, Philip Toltzis and Minsung Sung. Their work appears in journals such as The Journal of Urology, Urology, Neurourology and Urodynamics, The Journal of Chemical Physics and Clinical Orthopaedics and Related Research.
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.