Jin S. Im
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 30
- Immune Cell Function and Interaction 27
- T-cell and B-cell Immunology 22
- Immunotherapy and Immune Responses 6
- Immune Response and Inflammation 4
- Oncology 17
- CAR-T cell therapy research 9
- Co-authors
- Steven A. Porcelli (20 shared papers)Gurdyal S. Besra (12 shared papers)Petr A. Illarionov (9 shared papers)Alberto Molano (4 shared papers)Karl O. A. Yu (4 shared papers)Claire Forestier (3 shared papers)Young‐Tae Chang (3 shared papers)Yves Dutronc (2 shared papers)
- Journals
- The Journal of Immunology (10 papers)Blood (5 papers)Frontiers in Immunology (5 papers)Journal of Clinical Oncology (4 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jin S. Im
50 papers receiving 1.7k citations
Jin S. Im's Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 1.3k
- Oncology 333
- Hematology 103
- Microbiology 55
- Physiology 28
Countries citing papers authored by Jin S. Im
This map shows the geographic impact of Jin S. Im'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 S. Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin S. Im more than expected).
Fields of papers citing papers by Jin S. Im
This network shows the impact of papers produced by Jin S. Im. 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 S. Im. The network helps show where Jin S. Im may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin S. Im, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 288 | |
| 2 | 2004 | 167 | |
| 3 | 2009 | 140 | |
| 4 | Histone lactylation drives CD8+ T cell metabolism and function Hit paper breakdown → | 2024 | 99 |
| 5 | 2009 | 91 | |
| 6 | 2004 | 86 | |
| 7 | 2007 | 72 | |
| 8 | 2009 | 64 | |
| 9 | 2006 | 60 | |
| 10 | 2007 | 53 | |
| 11 | 2005 | 48 | |
| 12 | 1995 | 48 | |
| 13 | 2011 | 44 | |
| 14 | 2008 | 41 | |
| 15 | 2003 | 39 | |
| 16 | 2004 | 39 | |
| 17 | 2006 | 37 | |
| 18 | 1999 | 32 | |
| 19 | 2019 | 30 | |
| 20 | 2010 | 28 |
About Jin S. Im
Jin S. Im is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Genetics, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (22 papers), CAR-T cell therapy research (9 papers), Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immunotherapy and Immune Responses (6 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Immunology (1.3k citations), Oncology (333 citations), Hematology (103 citations), Microbiology (55 citations) and Physiology (28 citations). Jin S. Im has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Steven A. Porcelli, Gurdyal S. Besra, Petr A. Illarionov, Alberto Molano, Karl O. A. Yu, Claire Forestier, Young‐Tae Chang, Yves Dutronc, Amy R. Howell and Gabriel Bricard. Their work appears in journals such as The Journal of Immunology, Blood, Frontiers in Immunology, Journal of Clinical Oncology and PLoS ONE.
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.