Giulia Notarangelo
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Immune cells in cancer 3
- Immune Cell Function and Interaction 3
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Marcia C. Haigis (6 shared papers)Arlene H. Sharpe (5 shared papers)Noga Ron‐Harel (2 shared papers)Jonathan M. Ghergurovich (2 shared papers)Joshua D. Rabinowitz (2 shared papers)Shakchhi Joshi (2 shared papers)Kiran Kurmi (3 shared papers)Sheila Johnson (1 shared paper)
- Journals
- Cell Reports (2 papers)Cell Metabolism (1 paper)Molecular Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesAustraliaPortugal
In The Last Decade
Giulia Notarangelo
7 papers receiving 587 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 259
- Cancer Research 150
- Biological Psychiatry 20
- Geriatrics and Gerontology 23
- Oncology 127
Countries citing papers authored by Giulia Notarangelo
This map shows the geographic impact of Giulia Notarangelo'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 Notarangelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Notarangelo more than expected).
Fields of papers citing papers by Giulia Notarangelo
This network shows the impact of papers produced by Giulia Notarangelo. 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 Notarangelo. The network helps show where Giulia Notarangelo may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Notarangelo, 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 | Tumor cells dictate anti-tumor immune responses by altering pyruvate utilization and succinate signaling in CD8+ T cells Hit paper breakdown → | 2022 | 196 |
| 2 | 2019 | 142 | |
| 3 | 2018 | 111 | |
| 4 | 2019 | 65 | |
| 5 | 2021 | 47 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 8 |
About Giulia Notarangelo
Giulia Notarangelo is a scholar working on Immunology, Cancer Research, Molecular Biology, Nephrology and Neurology, having authored 7 papers that have together received 591 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Immune Cell Function and Interaction (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Iron Metabolism and Disorders (1 paper), Parathyroid Disorders and Treatments (1 paper), Adenosine and Purinergic Signaling (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Immunology (259 citations), Cancer Research (150 citations), Biological Psychiatry (20 citations), Geriatrics and Gerontology (23 citations) and Oncology (127 citations). Giulia Notarangelo has collaborated with scholars based in United States, Australia and Portugal. Frequent co-authors include Marcia C. Haigis, Arlene H. Sharpe, Noga Ron‐Harel, Jonathan M. Ghergurovich, Joshua D. Rabinowitz, Shakchhi Joshi, Kiran Kurmi, Sheila Johnson, Jared H. Rowe and Gordon J. Freeman. Their work appears in journals such as Cell Reports, Cell Metabolism, Molecular Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.