Giulia Notarangelo
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Immune Cell Function and Interaction 4
- Immune cells in cancer 3
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Marcia C. Haigis (7 shared papers)Arlene H. Sharpe (5 shared papers)Jonathan M. Ghergurovich (2 shared papers)Noga Ron‐Harel (2 shared papers)Joshua D. Rabinowitz (2 shared papers)Kiran Kurmi (3 shared papers)Shakchhi Joshi (2 shared papers)Jared H. Rowe (1 shared paper)
- Journals
- Cell Reports (2 papers)Journal of Biological Chemistry (1 paper)Cell Metabolism (1 paper)Molecular Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaPortugal
In The Last Decade
Giulia Notarangelo
8 papers receiving 700 citations
Giulia Notarangelo's Hit Papers
Peers
Comparison fields: 5 of 82
- Immunology 265
- Cancer Research 165
- Biological Psychiatry 20
- Geriatrics and Gerontology 23
- Oncology 121
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 | 243 |
| 2 | 2019 | 154 | |
| 3 | 2018 | 116 | |
| 4 | 2019 | 75 | |
| 5 | 2021 | 51 | |
| 6 | 2019 | 29 | |
| 7 | 2023 | 28 | |
| 8 | 2023 | 9 |
About Giulia Notarangelo
Giulia Notarangelo is a scholar working on Immunology, Cancer Research, Geriatrics and Gerontology, Physiology and Nephrology, having authored 8 papers that have together received 705 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immune cells in cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Lipid metabolism and biosynthesis (1 paper), RNA modifications and cancer (1 paper), Diabetes and associated disorders (1 paper), Parathyroid Disorders and Treatments (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Immunology (265 citations), Cancer Research (165 citations), Biological Psychiatry (20 citations), Geriatrics and Gerontology (23 citations) and Oncology (121 citations). Giulia Notarangelo has collaborated with scholars based in United States, Australia and Portugal. Frequent co-authors include Marcia C. Haigis, Arlene H. Sharpe, Jonathan M. Ghergurovich, Noga Ron‐Harel, Joshua D. Rabinowitz, Kiran Kurmi, Shakchhi Joshi, Jared H. Rowe, Ilaria Elia and Sheila E. Johnson. Their work appears in journals such as Cell Reports, Journal of Biological Chemistry, Cell Metabolism, Molecular Cell and Proceedings of the National Academy of Sciences.
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.