Giada Zurlo

733 total citations
14 papers, 304 citations indexed

About

Giada Zurlo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Giada Zurlo has authored 14 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Giada Zurlo's work include Cancer, Hypoxia, and Metabolism (6 papers), Ubiquitin and proteasome pathways (4 papers) and Epigenetics and DNA Methylation (2 papers). Giada Zurlo is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Ubiquitin and proteasome pathways (4 papers) and Epigenetics and DNA Methylation (2 papers). Giada Zurlo collaborates with scholars based in United States, China and France. Giada Zurlo's co-authors include Qing Zhang, Mamoru Takada, Wenyi Wei, Xijuan Liu, Jianping Guo, Maryline Moulin, Jérôme Piquereau, Vladimir Veksler, Lianxin Hu and Anne Garnier and has published in prestigious journals such as Molecular Cell, Cancer Discovery and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.

In The Last Decade

Giada Zurlo

14 papers receiving 301 citations

Peers

Giada Zurlo
Colton T. Pac United States
Sze Kiat Tan United States
W. Marston Linehan United States
Adina Brett-Morris United States
Ahlima Roumane United Kingdom
Colton T. Pac United States
Giada Zurlo
Citations per year, relative to Giada Zurlo Giada Zurlo (= 1×) peers Colton T. Pac

Countries citing papers authored by Giada Zurlo

Since Specialization
Citations

This map shows the geographic impact of Giada Zurlo'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 Giada Zurlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giada Zurlo more than expected).

Fields of papers citing papers by Giada Zurlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giada Zurlo. 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 Giada Zurlo. The network helps show where Giada Zurlo may publish in the future.

Co-authorship network of co-authors of Giada Zurlo

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

All Works

14 of 14 papers shown
1.
Zhou, Jin, Jeremy M. Simon, Chengheng Liao, et al.. (2022). An oncogenic JMJD6-DGAT1 axis tunes the epigenetic regulation of lipid droplet formation in clear cell renal cell carcinoma. Molecular Cell. 82(16). 3030–3044.e8. 33 indexed citations
2.
Liao, Chengheng, Yang Zhang, Cheng Fan, et al.. (2020). Identification of BBOX1 as a Therapeutic Target in Triple-Negative Breast Cancer. Cancer Discovery. 10(11). 1706–1721. 49 indexed citations
3.
Liu, Xijuan, Jeremy M. Simon, Haibiao Xie, et al.. (2020). Genome-wide Screening Identifies SFMBT1 as an Oncogenic Driver in Cancer with VHL Loss. Molecular Cell. 77(6). 1294–1306.e5. 45 indexed citations
5.
Liu, Xijuan, Giada Zurlo, & Qing Zhang. (2020). The Roles of Cullin-2 E3 Ubiquitin Ligase Complex in Cancer. Advances in experimental medicine and biology. 1217. 173–186. 16 indexed citations
6.
Zurlo, Giada & Qing Zhang. (2020). Adenylosuccinate lyase hydroxylation contributes to triple negative breast cancer via the activation of cMYC. Molecular & Cellular Oncology. 7(2). 1707045–1707045. 2 indexed citations
7.
Takada, Mamoru, Wenyi Wei, Giada Zurlo, Jianping Guo, & Qing Zhang. (2020). New Insights into Protein Hydroxylation and Its Important Role in Human Diseases. UNC Libraries. 3 indexed citations
8.
Zurlo, Giada, Jérôme Piquereau, Maryline Moulin, et al.. (2018). Sirtuin 1 regulates pulmonary artery smooth muscle cell proliferation. Journal of Hypertension. 36(5). 1164–1177. 54 indexed citations
9.
Wang, Li, John A. Wrobel, Ling Xie, et al.. (2018). Novel RNA-Affinity Proteogenomics Dissects Tumor Heterogeneity for Revealing Personalized Markers in Precision Prognosis of Cancer. Cell chemical biology. 25(5). 619–633.e5. 9 indexed citations
10.
Ventura‐Clapier, Renée, Maryline Moulin, Jérôme Piquereau, Giada Zurlo, & Anne Garnier. (2016). Sex differences in anthracycline cardiotoxicity. 2(2). 47–54. 4 indexed citations
11.
Piquereau, Jérôme, Maryline Moulin, Giada Zurlo, et al.. (2016). Cobalamin and folate protect mitochondrial and contractile functions in a murine model of cardiac pressure overload. Journal of Molecular and Cellular Cardiology. 102. 34–44. 24 indexed citations
12.
Zurlo, Giada & Qing Zhang. (2016). The history of oxygen sensing: 2016 Lasker Award for Basic Medical Research. Science Bulletin. 61(21). 1665–1668. 4 indexed citations
13.
Zurlo, Giada, Jianping Guo, Mamoru Takada, Wenyi Wei, & Qing Zhang. (2016). New Insights into Protein Hydroxylation and Its Important Role in Human Diseases. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1866(2). 208–220. 45 indexed citations
14.
Takada, Mamoru, Ming Zhuang, Hiroyuki Inuzuka, et al.. (2016). EglN2 contributes to triple negative breast tumorigenesis by functioning as a substrate for the FBW7 tumor suppressor. Oncotarget. 8(4). 6787–6795. 15 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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