Giulia Corte
Impact in
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
- Spondyloarthritis Studies and Treatments
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- CAR-T cell therapy research
Papers in
-
- Rheumatoid Arthritis Research and Therapies 6
- Spondyloarthritis Studies and Treatments 3
- Oncology 3
- CAR-T cell therapy research 3
- Co-authors
- Georg Andreas Schett (10 shared papers)Koray Taşçılar (7 shared papers)David Simón (6 shared papers)Arnd Kleyer (7 shared papers)Torsten Kuwert (5 shared papers)Louis Schuster (2 shared papers)Filippo Fagni (7 shared papers)Johannes Knitza (3 shared papers)
In The Last Decade
Giulia Corte
15 papers receiving 402 citations
Giulia Corte's Hit Papers
Peers
Comparison fields: 5 of 50
- Rheumatology 93
- Oncology 101
- Infectious Diseases 50
- Critical Care and Intensive Care Medicine 12
- Pulmonary and Respiratory Medicine 69
Countries citing papers authored by Giulia Corte
This map shows the geographic impact of Giulia Corte'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 Giulia Corte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Corte more than expected).
Fields of papers citing papers by Giulia Corte
This network shows the impact of papers produced by Giulia Corte. 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 Giulia Corte. The network helps show where Giulia Corte may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Corte, 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 | CD19-CAR T-cell therapy induces deep tissue depletion of B cells Hit paper breakdown → | 2024 | 125 |
| 2 | 2020 | 64 | |
| 3 | 2021 | 63 | |
| 4 | 2022 | 45 | |
| 5 | 2025 | 28 | |
| 6 | 2021 | 19 | |
| 7 | 2024 | 19 | |
| 8 | 2026 | 18 | |
| 9 | 2024 | 14 | |
| 10 | 2023 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 0 |
About Giulia Corte
Giulia Corte is a scholar working on Rheumatology, Oncology, Infectious Diseases, Immunology and Health Informatics, having authored 16 papers that have together received 409 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (6 papers), CAR-T cell therapy research (3 papers), Spondyloarthritis Studies and Treatments (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Ultrasound in Clinical Applications (1 paper), T-cell and B-cell Immunology (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Rheumatology (93 citations), Oncology (101 citations), Infectious Diseases (50 citations), Critical Care and Intensive Care Medicine (12 citations) and Pulmonary and Respiratory Medicine (69 citations). Giulia Corte has collaborated with scholars based in Germany, Italy and Portugal. Frequent co-authors include Georg Andreas Schett, Koray Taşçılar, David Simón, Arnd Kleyer, Torsten Kuwert, Louis Schuster, Filippo Fagni, Johannes Knitza, Christian Schmidkonz and Sebastian Boeltz. Their work appears in journals such as RMD Open, Annals of the Rheumatic Diseases, Lara D. Veeken, Scientific Reports and Nature Communications.
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.