Jar-How Lee
Impact in
- Transplantation top 0.2%
- Renal Transplantation Outcomes and Treatments
- Immunology top 5%
- T-cell and B-cell Immunology
- Complement system in diseases
- Immune Cell Function and Interaction
Papers in
-
- Renal Transplantation Outcomes and Treatments 13
- Immunology 13
- T-cell and B-cell Immunology 10
- Co-authors
- Paul I. Terasaki (7 shared papers)Rui Pei (7 shared papers)Mike Y. Chen (3 shared papers)Neng-Jen Shih (1 shared paper)Nadim El‐Awar (3 shared papers)Dan S. Ray (1 shared paper)Luis E. Morales‐Buenrostro (1 shared paper)Josefina Alberú (1 shared paper)
- Journals
- Human Immunology (13 papers)Transplantation (5 papers)Gene (4 papers)American Journal of Transplantation (3 papers)HLA (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Jar-How Lee
39 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 74
- Transplantation 877
- Immunology 474
- Nephrology 145
- Surgery 464
- Hematology 96
Countries citing papers authored by Jar-How Lee
This map shows the geographic impact of Jar-How Lee'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 Jar-How Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jar-How Lee more than expected).
Fields of papers citing papers by Jar-How Lee
This network shows the impact of papers produced by Jar-How Lee. 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 Jar-How Lee. The network helps show where Jar-How Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jar-How Lee, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 338 | |
| 2 | 2008 | 251 | |
| 3 | 2005 | 182 | |
| 4 | 1985 | 128 | |
| 5 | 2006 | 84 | |
| 6 | 2010 | 79 | |
| 7 | 2014 | 76 | |
| 8 | 2006 | 59 | |
| 9 | 2006 | 58 | |
| 10 | 1988 | 50 | |
| 11 | 2013 | 42 | |
| 12 | 2011 | 37 | |
| 13 | 2016 | 30 | |
| 14 | 1981 | 25 | |
| 15 | 2016 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 1993 | 21 | |
| 18 | 2015 | 20 | |
| 19 | 2015 | 19 | |
| 20 | 2018 | 14 |
About Jar-How Lee
Jar-How Lee is a scholar working on Transplantation, Immunology, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (13 papers), T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Transplantation: Methods and Outcomes (6 papers), Cytomegalovirus and herpesvirus research (4 papers), Bacterial Genetics and Biotechnology (4 papers), Enzyme Structure and Function (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Transplantation (877 citations), Immunology (474 citations), Nephrology (145 citations), Surgery (464 citations) and Hematology (96 citations). Jar-How Lee has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Paul I. Terasaki, Rui Pei, Mike Y. Chen, Neng-Jen Shih, Nadim El‐Awar, Dan S. Ray, Luis E. Morales‐Buenrostro, Josefina Alberú, Remi Shih and Miyuki Ozawa. Their work appears in journals such as Human Immunology, Transplantation, Gene, American Journal of Transplantation and HLA.
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.