Renee Wu
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
Papers in
- Immunology 12
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 7
- Oncology 5
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 2
- Cancer Cells and Metastasis 1
- Co-authors
- Kenneth M. Murphy (10 shared papers)Stephen T. Ferris (7 shared papers)Tiantian Liu (5 shared papers)Theresa L. Murphy (5 shared papers)Derek J. Theisen (2 shared papers)Robert D. Schreiber (2 shared papers)William E. Gillanders (3 shared papers)Vivek Durai (2 shared papers)
- Journals
- The Journal of Experimental Medicine (2 papers)Nature (2 papers)The Journal of Immunology (2 papers)Immunity (2 papers)Science Immunology (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Renee Wu
13 papers receiving 977 citations
Renee Wu's Hit Papers
Peers
Comparison fields: 5 of 69
- Immunology 716
- Oncology 368
- Molecular Biology 189
- Virology 12
- Genetics 66
Countries citing papers authored by Renee Wu
This map shows the geographic impact of Renee Wu'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 Renee Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renee Wu more than expected).
Fields of papers citing papers by Renee Wu
This network shows the impact of papers produced by Renee Wu. 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 Renee Wu. The network helps show where Renee Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Renee Wu, 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 | cDC1 prime and are licensed by CD4+ T cells to induce anti-tumour immunity Hit paper breakdown → | 2020 | 380 |
| 2 | 2017 | 181 | |
| 3 | 2019 | 138 | |
| 4 | 2022 | 74 | |
| 5 | 2015 | 60 | |
| 6 | 2022 | 48 | |
| 7 | 2022 | 43 | |
| 8 | 2022 | 34 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 1 | |
| 13 | 2020 | 1 |
About Renee Wu
Renee Wu is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Physiology, having authored 13 papers that have together received 990 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (3 papers), Diabetes and associated disorders (2 papers), CAR-T cell therapy research (2 papers), Cancer Cells and Metastasis (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Immunology (716 citations), Oncology (368 citations), Molecular Biology (189 citations), Virology (12 citations) and Genetics (66 citations). Renee Wu has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Kenneth M. Murphy, Stephen T. Ferris, Tiantian Liu, Theresa L. Murphy, Derek J. Theisen, Robert D. Schreiber, William E. Gillanders, Vivek Durai, Lijin Li and Prachi Bagadia. Their work appears in journals such as The Journal of Experimental Medicine, Nature, The Journal of Immunology, Immunity and Science 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.