Giulia Guzzo

1.5k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Giulia Guzzo is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Giulia Guzzo has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Giulia Guzzo's work include Cancer, Hypoxia, and Metabolism (7 papers), Mitochondrial Function and Pathology (4 papers) and ATP Synthase and ATPases Research (3 papers). Giulia Guzzo is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Mitochondrial Function and Pathology (4 papers) and ATP Synthase and ATPases Research (3 papers). Giulia Guzzo collaborates with scholars based in Italy, United Kingdom and Switzerland. Giulia Guzzo's co-authors include Andrea Rasola, Paolo Bernardi, Marco Sciacovelli, Christian Frezza, Mariaceleste Aragona, Silvia Bresolin, Giulia Santinon, Annalisa Pession, Mattia Forcato and Elena Enzo and has published in prestigious journals such as The EMBO Journal, Cell Metabolism and Cancer Research.

In The Last Decade

Giulia Guzzo

9 papers receiving 1.1k citations

Hit Papers

Aerobic glycolysis tunes YAP / TAZ transcriptional activity 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulia Guzzo Italy 8 857 481 251 180 69 9 1.1k
Danilo Swann Matassa Italy 24 1.1k 1.2× 367 0.8× 296 1.2× 231 1.3× 88 1.3× 41 1.4k
Casey Trimmer United States 7 601 0.7× 449 0.9× 200 0.8× 198 1.1× 202 2.9× 8 914
Zhenyang Jiang China 5 600 0.7× 424 0.9× 75 0.3× 161 0.9× 62 0.9× 8 853
Kristin M. Daumer United States 8 717 0.8× 618 1.3× 312 1.2× 260 1.4× 138 2.0× 8 1.2k
Micheline J. Moussalli United States 20 646 0.8× 233 0.5× 231 0.9× 174 1.0× 38 0.6× 23 1.4k
João Agostinho Machado‐Neto Brazil 22 775 0.9× 178 0.4× 204 0.8× 200 1.1× 65 0.9× 149 1.3k
Yoannis Imbert-Fernandez United States 15 667 0.8× 544 1.1× 62 0.2× 200 1.1× 78 1.1× 28 940
Jangsoon Lee United States 18 684 0.8× 166 0.3× 187 0.7× 434 2.4× 50 0.7× 40 1.1k
Limei Xu China 14 805 0.9× 303 0.6× 102 0.4× 148 0.8× 76 1.1× 24 1.1k
Zhi Guo United States 7 1.2k 1.4× 306 0.6× 113 0.5× 327 1.8× 126 1.8× 9 1.4k

Countries citing papers authored by Giulia Guzzo

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Guzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Guzzo

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

All Works

9 of 9 papers shown
1.
Masgras, Ionica, Francesco Ciscato, Anna Maria Brunati, et al.. (2017). Absence of Neurofibromin Induces an Oncogenic Metabolic Switch via Mitochondrial ERK-Mediated Phosphorylation of the Chaperone TRAP1. Cell Reports. 18(3). 659–672. 73 indexed citations
2.
Kowalik, Marta Anna, Giulia Guzzo, Andrea Morandi, et al.. (2016). Abstract 1009: Metabolic reprogramming discriminates aggressive vs. slowly growing preneoplastic lesions at early stages of HCC development. Cancer Research. 76(14_Supplement). 1009–1009. 1 indexed citations
3.
Kowalik, Marta Anna, Giulia Guzzo, Andrea Morandi, et al.. (2016). Metabolic reprogramming identifies the most aggressive lesions at early phases of hepatic carcinogenesis. Oncotarget. 7(22). 32375–32393. 84 indexed citations
4.
Enzo, Elena, Giulia Santinon, Arianna Pocaterra, et al.. (2015). Aerobic glycolysis tunes YAP / TAZ transcriptional activity. The EMBO Journal. 34(10). 1349–1370. 326 indexed citations breakdown →
5.
Catanzaro, Daniela, Edoardo Gaude, Genny Orso, et al.. (2015). Inhibition of glucose-6-phosphate dehydrogenase sensitizes cisplatin-resistant cells to death. Oncotarget. 6(30). 30102–30114. 103 indexed citations
6.
Pastò, Anna, Chiara Bellio, Giorgia Pilotto, et al.. (2014). Cancer stem cells from epithelial ovarian cancer patients privilege oxidative phosphorylation, and resist glucose deprivation. Oncotarget. 5(12). 4305–4319. 234 indexed citations
7.
Guzzo, Giulia, Marco Sciacovelli, Paolo Bernardi, & Andrea Rasola. (2014). Inhibition of succinate dehydrogenase by the mitochondrial chaperone TRAP1 has anti-oxidant and anti-apoptotic effects on tumor cells. Oncotarget. 5(23). 11897–11908. 78 indexed citations
8.
Sciacovelli, Marco, Giulia Guzzo, Virginia Morello, et al.. (2013). The Mitochondrial Chaperone TRAP1 Promotes Neoplastic Growth by Inhibiting Succinate Dehydrogenase. Cell Metabolism. 17(6). 988–999. 217 indexed citations
9.
Sciacovelli, Marco, Giulia Guzzo, Virginia Morello, et al.. (2012). The mitochondrial chaperone TRAP1 promotes neoplastic growth by inhibiting succinate dehydrogenase. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1817. S125–S126. 12 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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