Peter Kim
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 28
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 16
- Hematology 18
- Chronic Myeloid Leukemia Treatments 14
- Co-authors
- Peter P. Lee (21 shared papers)Doron Levy (14 shared papers)Kristen Hawkes (12 shared papers)James E. Coxworth (3 shared papers)Adrianne L. Jenner (11 shared papers)Federico Frascoli (9 shared papers)Chae‐Ok Yun (8 shared papers)Gerard Sutton (2 shared papers)
- Journals
- Bulletin of Mathematical Biology (14 papers)Journal of Theoretical Biology (13 papers)Clinical Infectious Diseases (5 papers)Cornea (5 papers)Canadian Journal of Ophthalmology (4 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Peter Kim
200 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 211
- Modeling and Simulation 268
- Immunology 693
- Hematology 278
- Transplantation 53
- Oncology 497
Countries citing papers authored by Peter Kim
This map shows the geographic impact of Peter 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 Peter Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kim more than expected).
Fields of papers citing papers by Peter Kim
This network shows the impact of papers produced by Peter 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 Peter Kim. The network helps show where Peter Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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 212 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 203 | |
| 2 | 2016 | 141 | |
| 3 | 2009 | 121 | |
| 4 | 2012 | 110 | |
| 5 | 2015 | 102 | |
| 6 | 1992 | 85 | |
| 7 | 2008 | 82 | |
| 8 | 2008 | 79 | |
| 9 | 1997 | 77 | |
| 10 | 2004 | 71 | |
| 11 | 2012 | 66 | |
| 12 | 2014 | 63 | |
| 13 | 2010 | 63 | |
| 14 | 2018 | 59 | |
| 15 | 1998 | 59 | |
| 16 | 2011 | 58 | |
| 17 | 2006 | 57 | |
| 18 | 2001 | 55 | |
| 19 | 2019 | 54 | |
| 20 | 1998 | 53 |
About Peter Kim
Peter Kim is a scholar working on Immunology, Hematology, Genetics, Oncology and Modeling and Simulation, having authored 212 papers that have together received 4.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (19 papers), Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (16 papers), CAR-T cell therapy research (16 papers), Evolutionary Psychology and Human Behavior (14 papers), Chronic Myeloid Leukemia Treatments (14 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and Mathematical Biology Tumor Growth (11 papers). The work is most often cited by research in Modeling and Simulation (268 citations), Immunology (693 citations), Hematology (278 citations), Transplantation (53 citations) and Oncology (497 citations). Peter Kim has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Peter P. Lee, Doron Levy, Kristen Hawkes, James E. Coxworth, Adrianne L. Jenner, Federico Frascoli, Chae‐Ok Yun, Gerard Sutton, Sonia N. Yeung and Adelle C.F. Coster. Their work appears in journals such as Bulletin of Mathematical Biology, Journal of Theoretical Biology, Clinical Infectious Diseases, Cornea and Canadian Journal of Ophthalmology.
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.