Giada Zurlo

31 total papers · 722 total citations
14 papers, 302 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 302 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, Xijuan Liu, Jianping Guo, Wenyi Wei, Christophe Lemaire, Renée Ventura‐Clapier, Mélanie Gressette, Jeremy M. Simon and Lianxin Hu and has published in prestigious journals such as Molecular Cell, Cancer Discovery and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Giada Zurlo

14 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Giada Zurlo 205 124 84 34 28 14 302
Alireza Delfarah 172 0.8× 81 0.7× 70 0.8× 34 1.0× 20 0.7× 10 274
Tomomi Ide 253 1.2× 78 0.6× 45 0.5× 40 1.2× 12 0.4× 11 344
Qing Liu 233 1.1× 167 1.3× 50 0.6× 22 0.6× 16 0.6× 22 323
Marianne L. T. van der Sterre 194 0.9× 108 0.9× 33 0.4× 43 1.3× 24 0.9× 11 279
Xiang Sun 205 1.0× 137 1.1× 39 0.5× 60 1.8× 13 0.5× 13 300
Valérie Vial 205 1.0× 145 1.2× 45 0.5× 68 2.0× 60 2.1× 14 328
Guobin Tan 230 1.1× 170 1.4× 72 0.9× 49 1.4× 26 0.9× 18 365
Lina K. Sciesielski 230 1.1× 177 1.4× 72 0.9× 18 0.5× 11 0.4× 14 366
Delphine Guillotin 155 0.8× 59 0.5× 99 1.2× 46 1.4× 8 0.3× 9 301
Sze Kiat Tan 217 1.1× 144 1.2× 113 1.3× 46 1.4× 15 0.5× 14 356

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

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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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