Claudia Wrzesinski
- Immunology top 0.5%
- Immune Cell Function and Interaction 13
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 7
- Oncology top 0.5%
- CAR-T cell therapy research 10
- Genetics top 5%
- Virus-based gene therapy research 1
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 3
- Molecular Biology top 10%
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- SARS-CoV-2 and COVID-19 Research 1
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- Carcinogens and Genotoxicity Assessment 1
- Co-authors
- Nicholas P. RestifoDouglas C. PalmerLuca GattinoniZhiya YuPawel MuranskiChrystal M. PaulosSteven A. RosenbergChristian S. Hinrichs
- Cited by
- ImmunologyOncologyGenetics
- Journals
- Journal of Clinical Investigation (3 papers)Blood (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- 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
- Genetics 644
- Hematology 183
- Molecular Biology 934
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
The 25 scholars most cited alongside Claudia Wrzesinski, 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 | 2024 | 1 | |
| 2 | 2021 | 10 | |
| 3 | 2016 | 21 | |
| 4 | 2016 | 4 | |
| 5 | 2014 | 99 | |
| 6 | 2009 | 211 | |
| 7 | Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cellsbreakdown → | 2009 | 762 |
| 8 | 2009 | 163 | |
| 9 | Tumor-specific Th17-polarized cells eradicate large established melanomabreakdown → | 2008 | 638 |
| 10 | 2008 | 31 | |
| 11 | 2008 | 105 | |
| 12 | 2007 | 452 | |
| 13 | 2007 | 152 | |
| 14 | 2007 | 15 | |
| 15 | 2007 | 103 | |
| 16 | 2006 | 263 | |
| 17 | Removal of homeostatic cytokine sinks by lymphodepletion enhances the efficacy of adoptively transferred tumor-specific CD8 + T cellsbreakdown → | 2005 | 812 |
| 18 | 2005 | 94 | |
| 19 | 2004 | 97 | |
| 20 | 2003 | 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), CAR-T cell therapy research (10 papers), T-cell and B-cell Immunology (7 papers), Hematopoietic Stem Cell Transplantation (3 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Virus-based gene therapy research (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). 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 Journal of Clinical Investigation, Blood, Proceedings of the National Academy of Sciences, Nature Medicine and Clinical Cancer Research.
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.