Patrizia Zanassi

714 total citations
8 papers, 628 citations indexed

About

Patrizia Zanassi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Patrizia Zanassi has authored 8 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Patrizia Zanassi's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Patrizia Zanassi is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). Patrizia Zanassi collaborates with scholars based in Italy, Canada and United States. Patrizia Zanassi's co-authors include Mayra Paolillo, Sergio Schinelli, Freda D. Miller, Antonio Feliciello, Enrico V. Avvedimento, Andrew Vaillant, Gregory S. Walsh, Anne Aumont, Ángel Alonso and Vittorio Gallo and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Patrizia Zanassi

8 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrizia Zanassi Italy 8 358 347 101 80 77 8 628
Sachiko Saino‐Saito Japan 14 370 1.0× 260 0.7× 105 1.0× 61 0.8× 64 0.8× 22 660
Ora Dillon‐Carter United States 15 405 1.1× 373 1.1× 144 1.4× 148 1.9× 66 0.9× 22 833
Agata Habas United States 9 339 0.9× 274 0.8× 146 1.4× 74 0.9× 61 0.8× 11 574
Daniel Perrelet Switzerland 9 357 1.0× 262 0.8× 80 0.8× 43 0.5× 75 1.0× 9 620
Sung‐Eun Kwak South Korea 16 362 1.0× 417 1.2× 76 0.8× 101 1.3× 58 0.8× 34 718
Brigitte Voutsinos‐Porche France 9 255 0.7× 331 1.0× 60 0.6× 117 1.5× 60 0.8× 10 601
Tri‐Hung Nguyen United States 12 375 1.0× 272 0.8× 50 0.5× 120 1.5× 110 1.4× 24 676
Yu‐Hui Wong Taiwan 11 283 0.8× 206 0.6× 101 1.0× 51 0.6× 59 0.8× 16 529
Tracy T. Yeo United States 12 457 1.3× 370 1.1× 100 1.0× 62 0.8× 181 2.4× 14 803
Miwako Ozaki Japan 13 423 1.2× 359 1.0× 91 0.9× 45 0.6× 53 0.7× 20 712

Countries citing papers authored by Patrizia Zanassi

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Zanassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Zanassi

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

All Works

8 of 8 papers shown
1.
Paolillo, Mayra, Annalisa Barbieri, Patrizia Zanassi, & Sergio Schinelli. (2006). Expression of endothelins and their receptors in glioblastoma cell lines. Journal of Neuro-Oncology. 79(1). 1–7. 13 indexed citations
2.
Lee, Anna F., et al.. (2004). Evidence That ΔNp73 Promotes Neuronal Survival by p53-Dependent and p53-Independent Mechanisms. Journal of Neuroscience. 24(41). 9174–9184. 56 indexed citations
3.
Vaillant, Andrew, Patrizia Zanassi, Gregory S. Walsh, et al.. (2002). Signaling Mechanisms Underlying Reversible, Activity-Dependent Dendrite Formation. Neuron. 34(6). 985–998. 206 indexed citations
4.
Zanassi, Patrizia, Mayra Paolillo, Antonio Feliciello, et al.. (2001). cAMP-dependent Protein Kinase Induces cAMP-response Element-binding Protein Phosphorylation via an Intracellular Calcium Release/ERK-dependent Pathway in Striatal Neurons. Journal of Biological Chemistry. 276(15). 11487–11495. 146 indexed citations
6.
Zanassi, Patrizia, Mayra Paolillo, Alessandra Montecucco, Enrico V. Avvedimento, & Sergio Schinelli. (1999). Pharmacological and molecular evidence for dopamine D1 receptor expression by striatal astrocytes in culture. Journal of Neuroscience Research. 58(4). 544–552. 69 indexed citations
7.
Zanassi, Patrizia, Mayra Paolillo, & Sergio Schinelli. (1998). Coexpression of phospholipase A2 isoforms in rat striatal astrocytes. Neuroscience Letters. 247(2-3). 83–86. 25 indexed citations
8.
Paolillo, Mayra, Alessandra Montecucco, Patrizia Zanassi, & Sergio Schinelli. (1998). Potentiation of dopamine-induced cAMP formation by group I metabotropic glutamate receptors via protein kinase C in cultured striatal neurons. European Journal of Neuroscience. 10(6). 1937–1945. 27 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026