Alessandro Zannini

1.2k total citations
10 papers, 773 citations indexed

About

Alessandro Zannini is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Alessandro Zannini has authored 10 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Alessandro Zannini's work include Signaling Pathways in Disease (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Cell death mechanisms and regulation (2 papers). Alessandro Zannini is often cited by papers focused on Signaling Pathways in Disease (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Cell death mechanisms and regulation (2 papers). Alessandro Zannini collaborates with scholars based in Italy, Portugal and Switzerland. Alessandro Zannini's co-authors include Giannino Del Sal, Giovanni Sorrentino, Silvio Bicciato, Miguel Mano, Rebecca Bertolio, Antonio Rosato, Alessandra Rustighi, Marco Fantuz, Francesco Napoletano and Sebastian Maurer‐Stroh and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Cell Death and Differentiation.

In The Last Decade

Alessandro Zannini

10 papers receiving 768 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Zannini Italy 9 467 273 209 156 99 10 773
Young Dong Yoo South Korea 15 528 1.1× 287 1.1× 102 0.5× 107 0.7× 92 0.9× 23 797
Mahandranauth A. Chetram United States 10 421 0.9× 213 0.8× 248 1.2× 103 0.7× 104 1.1× 13 753
Zheng Jiang China 19 527 1.1× 171 0.6× 210 1.0× 211 1.4× 111 1.1× 36 974
Florian Rouaud France 14 394 0.8× 139 0.5× 142 0.7× 100 0.6× 78 0.8× 19 630
Shengyu Yang United States 13 714 1.5× 196 0.7× 136 0.7× 120 0.8× 120 1.2× 18 1.2k
Kelly A. Martin United States 12 408 0.9× 241 0.9× 65 0.3× 133 0.9× 110 1.1× 27 762
Alejandro J. Urtreger Argentina 19 679 1.5× 306 1.1× 105 0.5× 214 1.4× 76 0.8× 41 1.0k
Stanley Borowicz United States 7 506 1.1× 207 0.8× 64 0.3× 182 1.2× 72 0.7× 14 768
Eun Ji Lee South Korea 15 552 1.2× 116 0.4× 93 0.4× 293 1.9× 85 0.9× 30 870
Marie‐Josée Boucher Canada 16 657 1.4× 259 0.9× 153 0.7× 107 0.7× 82 0.8× 22 1.0k

Countries citing papers authored by Alessandro Zannini

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Zannini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Zannini

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

All Works

10 of 10 papers shown
1.
Zannini, Alessandro, Mariangela Santorsola, Deborah Bonazza, et al.. (2020). Breast Cancer Organoids Model Patient-Specific Response to Drug Treatment. Cancers. 12(12). 3869–3869. 59 indexed citations
2.
Zannini, Alessandro, et al.. (2019). Oncogenic Hijacking of the PIN1 Signaling Network. Frontiers in Oncology. 9. 94–94. 27 indexed citations
3.
Bertolio, Rebecca, Francesco Napoletano, Miguel Mano, et al.. (2019). Sterol regulatory element binding protein 1 couples mechanical cues and lipid metabolism. Nature Communications. 10(1). 1326–1326. 209 indexed citations
4.
Sorrentino, Giovanni, Rebecca Bertolio, Kamil Lisek, et al.. (2017). Mechanical cues control mutant p53 stability through a mevalonate–RhoA axis. Nature Cell Biology. 20(1). 28–35. 115 indexed citations
5.
Sorrentino, Giovanni, Alessandro Zannini, Rebecca Bertolio, et al.. (2017). Glucocorticoid receptor signalling activates YAP in breast cancer. Nature Communications. 8(1). 14073–14073. 128 indexed citations
6.
Rustighi, Alessandra, et al.. (2016). PIN1 in breast development and cancer: a clinical perspective. Cell Death and Differentiation. 24(2). 200–211. 34 indexed citations
7.
Mantovani, Fiamma, Alessandro Zannini, Alessandra Rustighi, & Giannino Del Sal. (2015). Interaction of p53 with prolyl isomerases: Healthy and unhealthy relationships. Biochimica et Biophysica Acta (BBA) - General Subjects. 1850(10). 2048–2060. 20 indexed citations
8.
Taccioli, Cristian, Giovanni Sorrentino, Alessandro Zannini, et al.. (2015). MDP, a database linking drug response data to genomic information, identifies dasatinib and statins as a combinatorial strategy to inhibit YAP/TAZ in cancer cells. Oncotarget. 6(36). 38854–38865. 54 indexed citations
9.
Rustighi, Alessandra, Alessandro Zannini, Luca Tiberi, et al.. (2014). Prolyl‐isomerase Pin1 controls normal and cancer stem cells of the breast. EMBO Molecular Medicine. 6(5). 702–702. 1 indexed citations
10.
Rustighi, Alessandra, Alessandro Zannini, Luca Tiberi, et al.. (2013). Prolyl‐isomerase Pin1 controls normal and cancer stem cells of the breast. EMBO Molecular Medicine. 6(1). 99–119. 126 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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