Jim Kim
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 10%
- Liver Disease and Transplantation
- Hepatitis C virus research
Papers in
-
- Renal Transplantation Outcomes and Treatments 5
-
- Liver Disease and Transplantation 2
- Liver physiology and pathology 2
- Co-authors
- Fengchun Liu (2 shared papers)Sang‐Mo Kang (2 shared papers)David P. Foley (1 shared paper)Nikole A. Neidlinger (1 shared paper)Silke V. Niederhaus (1 shared paper)Philip Y. Wai (1 shared paper)GLEN E. LEVERSON (1 shared paper)Jon S. Odorico (1 shared paper)
- Journals
- American Journal of Transplantation (4 papers)Transplantation (3 papers)Surgery (2 papers)Journal of Molecular Biology (2 papers)Journal of Infection and Public Health (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Jim Kim
25 papers receiving 547 citations
Peers
Comparison fields: 5 of 57
- Transplantation 75
- Hepatology 107
- Surgery 216
- Immunology 84
- Public Health, Environmental and Occupational Health 105
Countries citing papers authored by Jim Kim
This map shows the geographic impact of Jim 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 Jim Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Kim more than expected).
Fields of papers citing papers by Jim Kim
This network shows the impact of papers produced by Jim 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 Jim Kim. The network helps show where Jim Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 142 | |
| 2 | 2023 | 79 | |
| 3 | 2007 | 63 | |
| 4 | 2016 | 61 | |
| 5 | 2008 | 39 | |
| 6 | 1986 | 29 | |
| 7 | 2020 | 23 | |
| 8 | 2021 | 23 | |
| 9 | 1983 | 17 | |
| 10 | Effect of fatty acid modification of cultured hepatoma cells on susceptibility to natural killer cells. | 1982 | 15 |
| 11 | 2017 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2007 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2007 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 3 |
About Jim Kim
Jim Kim is a scholar working on Transplantation, Hepatology, Infectious Diseases, Surgery and Immunology, having authored 26 papers that have together received 570 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), T-cell and B-cell Immunology (3 papers), COVID-19 Clinical Research Studies (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Liver Disease and Transplantation (2 papers), Liver physiology and pathology (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Transplantation (75 citations), Hepatology (107 citations), Surgery (216 citations), Immunology (84 citations) and Public Health, Environmental and Occupational Health (105 citations). Jim Kim has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Fengchun Liu, Sang‐Mo Kang, David P. Foley, Nikole A. Neidlinger, Silke V. Niederhaus, Philip Y. Wai, GLEN E. LEVERSON, Jon S. Odorico, Luis A. Fernandez and Anthony M. D’Alessandro. Their work appears in journals such as American Journal of Transplantation, Transplantation, Surgery, Journal of Molecular Biology and Journal of Infection and Public Health.
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.