Giulia Notarangelo

1.6k total citations · 1 hit paper
7 papers, 591 citations indexed

About

Giulia Notarangelo is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Giulia Notarangelo has authored 7 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Cancer Research and 1 paper in Molecular Biology. Recurrent topics in Giulia Notarangelo's work include Immune cells in cancer (3 papers), Immune Cell Function and Interaction (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Giulia Notarangelo is often cited by papers focused on Immune cells in cancer (3 papers), Immune Cell Function and Interaction (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Giulia Notarangelo collaborates with scholars based in United States, Australia and Portugal. Giulia Notarangelo's co-authors include Marcia C. Haigis, Arlene H. Sharpe, Noga Ron‐Harel, Joshua D. Rabinowitz, Jonathan M. Ghergurovich, Shakchhi Joshi, Kiran Kurmi, Ilaria Elia, Sheila Johnson and Jared H. Rowe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Giulia Notarangelo

7 papers receiving 587 citations

Hit Papers

Tumor cells dictate anti-tumor immune responses by alteri... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giulia Notarangelo United States 7 259 229 150 127 75 7 591
Christopher M. Rice United Kingdom 5 453 1.7× 260 1.1× 108 0.7× 101 0.8× 69 0.9× 10 720
Xiadi He China 8 224 0.9× 434 1.9× 158 1.1× 109 0.9× 72 1.0× 9 674
Hiroyuki Kunimoto Japan 11 156 0.6× 308 1.3× 81 0.5× 177 1.4× 45 0.6× 13 565
Tanzilya Khayrullina United States 6 363 1.4× 133 0.6× 78 0.5× 125 1.0× 51 0.7× 7 689
Shubo Zhao Germany 9 193 0.7× 607 2.7× 103 0.7× 106 0.8× 119 1.6× 10 778
Jae Woong Shim South Korea 17 181 0.7× 396 1.7× 78 0.5× 83 0.7× 44 0.6× 25 587
Alban Muller Switzerland 3 179 0.7× 319 1.4× 162 1.1× 42 0.3× 63 0.8× 3 523
Xiao‐Feng Lei Japan 13 159 0.6× 258 1.1× 54 0.4× 59 0.5× 91 1.2× 26 572
Daniel E. Rothschild United States 11 186 0.7× 368 1.6× 84 0.6× 80 0.6× 32 0.4× 15 532
Mara Gagliardi Italy 10 91 0.4× 321 1.4× 114 0.8× 81 0.6× 148 2.0× 20 624

Countries citing papers authored by Giulia Notarangelo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Giulia Notarangelo

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Notarangelo. A scholar is included among the top collaborators of Giulia Notarangelo 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 Giulia Notarangelo. Giulia Notarangelo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Yao, Cong-Hui, Joon Seok Park, Kiran Kurmi, et al.. (2023). Uncoupled glycerol-3-phosphate shuttle in kidney cancer reveals that cytosolic GPD is essential to support lipid synthesis. Molecular Cell. 83(8). 1340–1349.e7. 22 indexed citations
2.
Kurmi, Kiran, Dan Liang, Peter Georgiev, et al.. (2023). Metabolic modulation of mitochondrial mass during CD4+ T cell activation. Cell chemical biology. 30(9). 1064–1075.e8. 8 indexed citations
3.
Elia, Ilaria, Jared H. Rowe, Sheila Johnson, et al.. (2022). Tumor cells dictate anti-tumor immune responses by altering pyruvate utilization and succinate signaling in CD8+ T cells. Cell Metabolism. 34(8). 1137–1150.e6. 196 indexed citations breakdown →
4.
Zaganjor, Elma, Haejin Yoon, Jessica B. Spinelli, et al.. (2021). SIRT4 is an early regulator of branched-chain amino acid catabolism that promotes adipogenesis. Cell Reports. 36(2). 109345–109345. 47 indexed citations
5.
Ron‐Harel, Noga, Jonathan M. Ghergurovich, Giulia Notarangelo, et al.. (2019). T Cell Activation Depends on Extracellular Alanine. Cell Reports. 28(12). 3011–3021.e4. 142 indexed citations
6.
Matsuda‐Lennikov, Mami, Matthew Biancalana, Juan Zou, et al.. (2019). Magnesium transporter 1 (MAGT1) deficiency causes selective defects in N-linked glycosylation and expression of immune-response genes. Journal of Biological Chemistry. 294(37). 13638–13656. 65 indexed citations
7.
Ron‐Harel, Noga, Giulia Notarangelo, Jonathan M. Ghergurovich, et al.. (2018). Defective respiration and one-carbon metabolism contribute to impaired naïve T cell activation in aged mice. Proceedings of the National Academy of Sciences. 115(52). 13347–13352. 111 indexed citations

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.

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