Claudia Wrzesinski
- Immunology top 0.5%
- Oncology top 0.5%
- Molecular Biology top 10%
- Genetics top 5%
- Biomedical Engineering
- Co-authors
- Nicholas P. RestifoDouglas C. PalmerLuca GattinoniZhiya YuPawel MuranskiChrystal M. PaulosSteven A. RosenbergChristian S. Hinrichs
- Topics
- Immune Cell Function and Interaction (13 papers)Immunotherapy and Immune Responses (12 papers)CAR-T cell therapy research (10 papers)
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United StatesMalaysiaNetherlands
In The Last Decade
Claudia Wrzesinski
20 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 2.9k
- Oncology 2.8k
- Molecular Biology 934
- Genetics 644
- Biomedical Engineering 254
Countries citing papers authored by Claudia Wrzesinski
This map shows the geographic impact of Claudia Wrzesinski'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 Claudia Wrzesinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Wrzesinski more than expected).
Fields of papers citing papers by Claudia Wrzesinski
This network shows the impact of papers produced by Claudia Wrzesinski. 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 Claudia Wrzesinski. The network helps show where Claudia Wrzesinski may publish in the future.
Co-authorship network of co-authors of Claudia Wrzesinski
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Wrzesinski. A scholar is included among the top collaborators of Claudia Wrzesinski 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 Claudia Wrzesinski. Claudia Wrzesinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 21 | |
| 4 | 4 | |
| 5 | 99 | |
| 6 | 211 | |
| 7 | Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cellsbreakdown → | 762 |
| 8 | 163 | |
| 9 | Tumor-specific Th17-polarized cells eradicate large established melanomabreakdown → | 638 |
| 10 | 31 | |
| 11 | 105 | |
| 12 | 452 | |
| 13 | 152 | |
| 14 | 15 | |
| 15 | 103 | |
| 16 | 263 | |
| 17 | Removal of homeostatic cytokine sinks by lymphodepletion enhances the efficacy of adoptively transferred tumor-specific CD8 + T cellsbreakdown → | 812 |
| 18 | 94 | |
| 19 | 97 | |
| 20 | 42 |
About Claudia Wrzesinski
Claudia Wrzesinski is a scholar working on Immunology, Oncology and Hematology, having authored 20 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Immunotherapy and Immune Responses (12 papers) and CAR-T cell therapy research (10 papers). The work is most often cited by research in Immunology (2.9k citations), Oncology (2.8k citations) and Genetics (644 citations). Claudia Wrzesinski has collaborated with scholars based in United States, Malaysia and Netherlands. Frequent co-authors include Nicholas P. Restifo, Douglas C. Palmer, Luca Gattinoni, Zhiya Yu, Pawel Muranski, Chrystal M. Paulos, Steven A. Rosenberg, Christian S. Hinrichs, Lydie Cassard and Paul A. Antony. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.