Jason Kim
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- Biosensors and Analytical Detection
Papers in
- Urology 11
- Urinary Bladder and Prostate Research 11
- Rheumatology 25
- Pelvic floor disorders treatments 14
- Co-authors
- Wenbin LinWilliam J. RieterHongyu AnK. Taylor-PashowWeili LinMasaud ShahMuhammad Ayaz AnwarSangdun Choi
- Journals
- The Journal of Urology (8 papers)Analytical and Bioanalytical Chemistry (3 papers)Urology (3 papers)Neurourology and Urodynamics (3 papers)Cell Metabolism (2 papers)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Jason Kim
120 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 172
- Biomaterials 405
- Biomedical Engineering 798
- Infectious Diseases 306
- Materials Chemistry 678
- Health Informatics 16
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 10 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 4 | |
| 15 | Development of Simulator for Autonomous Underwater Vehicles utilizing Underwater Acoustic and Optical Sensing Emulators | 2018 | 15 |
| 16 | 2015 | 13 | |
| 17 | 2015 | 80 | |
| 18 | 2013 | 36 | |
| 19 | 2009 | 126 | |
| 20 | 2007 | 238 |
About Jason Kim
Jason Kim is a scholar working on Urology, Rheumatology, Ocean Engineering, Orthopedics and Sports Medicine and Biomedical Engineering, having authored 129 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (14 papers), Underwater Vehicles and Communication Systems (12 papers), Robotics and Sensor-Based Localization (12 papers), Urinary Bladder and Prostate Research (11 papers), Microfluidic and Bio-sensing Technologies (8 papers), Biosensors and Analytical Detection (7 papers), Underwater Acoustics Research (7 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Biomaterials (405 citations), Biomedical Engineering (798 citations), Infectious Diseases (306 citations), Materials Chemistry (678 citations) and Health Informatics (16 citations). Jason Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Wenbin Lin, William J. Rieter, Hongyu An, K. Taylor-Pashow, Weili Lin, Weili Lin, Masaud Shah, Muhammad Ayaz Anwar, Sangdun Choi and Frances S. Ligler. Their work appears in journals such as The Journal of Urology, Analytical and Bioanalytical Chemistry, Urology, Neurourology and Urodynamics and Cell Metabolism.
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.