Jin K. Kim
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Urology top 2%
- Urological Disorders and Treatments
Papers in
- Urology 47
- Urological Disorders and Treatments 40
- Urinary Bladder and Prostate Research 14
- Co-authors
- Michael ChuaArmando J. LorenzoMandy RickardRobert W. SchrierSandra N. SummerJessica M. MingJoana Dos SantosMartin A. Koyle
- Journals
- Journal of Pediatric Urology (19 papers)World Journal of Urology (8 papers)The Journal of Urology (6 papers)British Journal of Urology (6 papers)Pediatric Transplantation (6 papers)
- Partner nations
- CanadaUnited StatesPhilippines
In The Last Decade
Jin K. Kim
122 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 147
- Health Informatics 94
- Urology 222
- Nephrology 113
- Pediatrics, Perinatology and Child Health 249
- Transplantation 29
Countries citing papers authored by Jin K. Kim
This map shows the geographic impact of Jin K. 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 Jin K. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin K. Kim more than expected).
Fields of papers citing papers by Jin K. Kim
This network shows the impact of papers produced by Jin K. 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 Jin K. Kim. The network helps show where Jin K. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin K. 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 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 4 | |
| 6 | 2025 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 32 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 13 | |
| 15 | STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model. | 2019 | 2 |
| 16 | 2019 | 5 | |
| 17 | 2019 | 0 | |
| 18 | 2019 | 6 | |
| 19 | Aging Behavior of Natural Rubber and EPDM | 1998 | 1 |
| 20 | 1995 | 33 |
About Jin K. Kim
Jin K. Kim is a scholar working on Urology, Health Informatics, Transplantation, Pediatrics, Perinatology and Child Health and Emergency Medicine, having authored 138 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pediatric Urology and Nephrology Studies (48 papers), Urological Disorders and Treatments (40 papers), Urinary Bladder and Prostate Research (14 papers), Urinary Tract Infections Management (13 papers), Semiconductor Quantum Structures and Devices (13 papers), Advanced Semiconductor Detectors and Materials (12 papers), Renal Transplantation Outcomes and Treatments (11 papers) and Renal and Vascular Pathologies (8 papers). The work is most often cited by research in Health Informatics (94 citations), Urology (222 citations), Nephrology (113 citations), Pediatrics, Perinatology and Child Health (249 citations) and Transplantation (29 citations). Jin K. Kim has collaborated with scholars based in Canada, United States and Philippines. Frequent co-authors include Michael Chua, Armando J. Lorenzo, Mandy Rickard, Robert W. Schrier, Sandra N. Summer, Jessica M. Ming, Joana Dos Santos, Martin A. Koyle, John F. Klem and Samuel D. Hawkins. Their work appears in journals such as Journal of Pediatric Urology, World Journal of Urology, The Journal of Urology, British Journal of Urology and Pediatric Transplantation.
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.