Jean Kwun
Impact in
- Transplantation top 0.2%
- Renal Transplantation Outcomes and Treatments
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Complement system in diseases
Papers in
-
- Renal Transplantation Outcomes and Treatments 48
- Immunology 45
- T-cell and B-cell Immunology 28
- Immune Cell Function and Interaction 16
- Complement system in diseases 11
- Co-authors
- Stuart J. KnechtleAlton B. FarrisMiriam ManookA. GibbyNeal N. IwakoshiDaesik HongAllan D. KirkSungmook Lim
- Journals
- American Journal of Transplantation (16 papers)Transplantation (11 papers)Frontiers in Immunology (7 papers)JCI Insight (4 papers)The Journal of Immunology (3 papers)
- Partner nations
- United StatesSouth KoreaAustria
In The Last Decade
Jean Kwun
87 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Transplantation 947
- Immunology 848
- Hepatology 125
- Surgery 660
- Nephrology 104
Countries citing papers authored by Jean Kwun
This map shows the geographic impact of Jean Kwun'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 Jean Kwun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Kwun more than expected).
Fields of papers citing papers by Jean Kwun
This network shows the impact of papers produced by Jean Kwun. 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 Jean Kwun. The network helps show where Jean Kwun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean Kwun, 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 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 37 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 52 | |
| 17 | 2019 | 38 | |
| 18 | 2015 | 12 | |
| 19 | Monoclonal antibody targeting of CD4(+) and CD8(+) cells for prolongation of baboon renal allograft survival. | 2005 | 0 |
| 20 | Effects of soft handoff region ratio on the reverse link capacity of a DS-CDMA cellular system | 2001 | 0 |
About Jean Kwun
Jean Kwun is a scholar working on Transplantation, Immunology, Surgery, Computer Networks and Communications and Physiology, having authored 96 papers that have together received 2.2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (48 papers), T-cell and B-cell Immunology (28 papers), Immune Cell Function and Interaction (16 papers), Transplantation: Methods and Outcomes (15 papers), Organ Transplantation Techniques and Outcomes (15 papers), Xenotransplantation and immune response (13 papers), Complement system in diseases (11 papers) and Wireless Communication Networks Research (9 papers). The work is most often cited by research in Transplantation (947 citations), Immunology (848 citations), Hepatology (125 citations), Surgery (660 citations) and Nephrology (104 citations). Jean Kwun has collaborated with scholars based in United States, South Korea and Austria. Frequent co-authors include Stuart J. Knechtle, Alton B. Farris, Miriam Manook, A. Gibby, Neal N. Iwakoshi, Daesik Hong, Allan D. Kirk, Sungmook Lim, Sooyong Choi and Sangwook Suh. Their work appears in journals such as American Journal of Transplantation, Transplantation, Frontiers in Immunology, JCI Insight and The Journal of Immunology.
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.