Jeanne Cheung
- Immunology top 0.5%
- Oncology top 1%
- Molecular Biology top 10%
- Genetics top 5%
- Surgery top 10%
- Co-authors
- Jeong KimIra MellmanDavid YenD RennickJing ZhuHeidi Ackerly WallweberMarcus J. TaylorJun Huang
- Topics
- Cancer Immunotherapy and Biomarkers (9 papers)CAR-T cell therapy research (3 papers)Immune Cell Function and Interaction (3 papers)
- Cited by
- ImmunologyOncologyDermatology
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Jeanne Cheung
13 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 3.4k
- Oncology 2.1k
- Molecular Biology 864
- Genetics 523
- Surgery 484
Countries citing papers authored by Jeanne Cheung
This map shows the geographic impact of Jeanne Cheung'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 Jeanne Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeanne Cheung more than expected).
Fields of papers citing papers by Jeanne Cheung
This network shows the impact of papers produced by Jeanne Cheung. 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 Jeanne Cheung. The network helps show where Jeanne Cheung may publish in the future.
Co-authorship network of co-authors of Jeanne Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Jeanne Cheung. A scholar is included among the top collaborators of Jeanne Cheung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeanne Cheung. Jeanne Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | PD-L1 expression by dendritic cells is a key regulator of T-cell immunity in cancerbreakdown → | 316 |
| 2 | 35 | |
| 3 | 41 | |
| 4 | 325 | |
| 5 | T cell costimulatory receptor CD28 is a primary target for PD-1–mediated inhibitionbreakdown → | 1180 |
| 6 | 270 | |
| 7 | MAP Kinase Inhibition Promotes T Cell and Anti-tumor Activity in Combination with PD-L1 Checkpoint Blockadebreakdown → | 527 |
| 8 | 1 | |
| 9 | 2 | |
| 10 | IL-23 is essential for T cell–mediated colitis and promotes inflammation via IL-17 and IL-6breakdown → | 1245 |
| 11 | IL-25 Induces IL-4, IL-5, and IL-13 and Th2-Associated Pathologies In Vivobreakdown → | 930 |
| 12 | 34 | |
| 13 | 62 |
About Jeanne Cheung
Jeanne Cheung is a scholar working on Immunology, Oncology and Toxicology, having authored 13 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), CAR-T cell therapy research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (3.4k citations), Oncology (2.1k citations) and Dermatology (260 citations). Jeanne Cheung has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Jeong Kim, Ira Mellman, David Yen, D Rennick, Jing Zhu, Heidi Ackerly Wallweber, Marcus J. Taylor, Jun Huang, Dibyendu K. Sasmal and Enfu Hui. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.