Patrizia Lavia

4.1k total citations
80 papers, 3.1k citations indexed

About

Patrizia Lavia is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Patrizia Lavia has authored 80 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 35 papers in Cell Biology and 21 papers in Oncology. Recurrent topics in Patrizia Lavia's work include Microtubule and mitosis dynamics (35 papers), Nuclear Structure and Function (22 papers) and Cancer-related Molecular Pathways (19 papers). Patrizia Lavia is often cited by papers focused on Microtubule and mitosis dynamics (35 papers), Nuclear Structure and Function (22 papers) and Cancer-related Molecular Pathways (19 papers). Patrizia Lavia collaborates with scholars based in Italy, United States and United Kingdom. Patrizia Lavia's co-authors include Giulia Guarguaglini, Rosamaria Mangiacasale, Marilena Ciciarello, B. Fiore, Pidder Jansen‐Dürr, Maria De Luca, Enrico Cundari, Italia Anna Asteriti, Corrado Spadafora and Antonella Palena and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Patrizia Lavia

78 papers receiving 3.1k 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 Lavia Italy 36 2.5k 1.1k 787 349 309 80 3.1k
Hidemasa Goto Japan 41 3.4k 1.3× 2.2k 2.1× 727 0.9× 650 1.9× 295 1.0× 62 4.3k
Nancy C. Walworth United States 23 3.7k 1.5× 2.3k 2.1× 817 1.0× 236 0.7× 295 1.0× 36 4.4k
Zhanyun Tang United States 28 4.3k 1.7× 1.8k 1.6× 612 0.8× 291 0.8× 531 1.7× 33 4.9k
Margarete M. S. Heck United Kingdom 24 3.4k 1.3× 1.1k 1.0× 585 0.7× 298 0.9× 785 2.5× 44 3.9k
Chuanmao Zhang China 33 3.2k 1.3× 1.8k 1.7× 550 0.7× 364 1.0× 318 1.0× 89 4.1k
Stefano Santaguida Italy 25 3.1k 1.2× 2.6k 2.4× 609 0.8× 297 0.9× 696 2.3× 44 3.9k
Hideo Nishitani Japan 34 4.2k 1.7× 1.5k 1.4× 1.0k 1.3× 480 1.4× 274 0.9× 79 4.7k
Paul R. Mueller United States 14 2.2k 0.9× 668 0.6× 405 0.5× 411 1.2× 210 0.7× 21 2.7k
Ami Aronheim Israel 33 3.0k 1.2× 838 0.8× 553 0.7× 552 1.6× 130 0.4× 80 3.9k
Damien Coudreuse France 15 2.4k 0.9× 606 0.6× 663 0.8× 444 1.3× 127 0.4× 25 3.1k

Countries citing papers authored by Patrizia Lavia

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Lavia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Lavia

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

All Works

20 of 20 papers shown
1.
Nalli, Marianna, Ruoli Bai, Eugenio Gaudio, et al.. (2022). RS6077 induces mitotic arrest and selectively activates cell death in human cancer cell lines and in a lymphoma tumor in vivo. European Journal of Medicinal Chemistry. 246. 114997–114997. 7 indexed citations
2.
Lavia, Patrizia, et al.. (2022). Non-transport roles of nuclear import receptors: In need of the right balance. Frontiers in Cell and Developmental Biology. 10. 1041938–1041938. 3 indexed citations
3.
Rotili, Dante, Antonello Mai, Donatella Del Bufalo, et al.. (2022). Pharmacological targeting of CBP/p300 drives a redox/autophagy axis leading to senescence-induced growth arrest in non-small cell lung cancer cells. Cancer Gene Therapy. 30(1). 124–136. 15 indexed citations
4.
Rossi, Francesca, Manuel Beltrán, Alessio Colantoni, et al.. (2021). Circular RNA ZNF609/CKAP5 mRNA interaction regulates microtubule dynamics and tumorigenicity. Molecular Cell. 82(1). 75–89.e9. 71 indexed citations
5.
Sciamanna, Ilaria, Ciro Milite, P Sinibaldi Vallebona, et al.. (2020). Reverse transcriptase inhibitors promote the remodelling of nuclear architecture and induce autophagy in prostate cancer cells. Cancer Letters. 478. 133–145. 19 indexed citations
7.
Amato, Rosario, Domenica Scumaci, Lucia D’Antona, et al.. (2012). Sgk1 enhances RANBP1 transcript levels and decreases taxol sensitivity in RKO colon carcinoma cells. Oncogene. 32(38). 4572–4578. 56 indexed citations
8.
Torosantucci, Liliana, Maria De Luca, Giulia Guarguaglini, Patrizia Lavia, & Francesca Degrassi. (2008). Localized RanGTP Accumulation Promotes Microtubule Nucleation at Kinetochores in Somatic Mammalian Cells. Molecular Biology of the Cell. 19(5). 1873–1882. 70 indexed citations
9.
Ciciarello, Marilena, Rosamaria Mangiacasale, & Patrizia Lavia. (2007). Spatial control of mitosis by the GTPase Ran. Cellular and Molecular Life Sciences. 64(15). 1891–1914. 86 indexed citations
10.
Tedeschi, Antonio, et al.. (2007). RANBP1 localizes a subset of mitotic regulatory factors on spindle microtubules and regulates chromosome segregation in human cells. Journal of Cell Science. 120(21). 3748–3761. 49 indexed citations
11.
Vallebona, P Sinibaldi, Patrizia Lavia, Enrico Garaci, & Corrado Spadafora. (2005). A role for endogenous reverse transcriptase in tumorigenesis and as a target in differentiating cancer therapy. Genes Chromosomes and Cancer. 45(1). 1–10. 49 indexed citations
12.
Ciciarello, Marilena & Patrizia Lavia. (2005). New CRIME plots. EMBO Reports. 6(8). 714–716. 5 indexed citations
13.
Merlo, Paola, Marcella Fulco, Antonio Costanzo, et al.. (2005). A Role of p73 in Mitotic Exit. Journal of Biological Chemistry. 280(34). 30354–30360. 33 indexed citations
14.
Keryer, Guy, B. Fiore, Claude Celati, et al.. (2003). Part of Ran Is Associated with AKAP450 at the Centrosome: Involvement in Microtubule-organizing Activity. Molecular Biology of the Cell. 14(10). 4260–4271. 114 indexed citations
15.
Taruscio, Domenica, G. Zoraqi, Mario Falchi, et al.. (2000). The human Per1 gene: genomic organization and promoter analysis of the first human orthologue of the Drosophila period gene. Gene. 253(2). 161–170. 24 indexed citations
17.
Carotti, Daniela, et al.. (1996). Different Effects of Histone H1 on de Novo DNA Methylation in Vitro Depend on both the DNA Base Composition and the DNA Methyltransferase. Biochemistry. 35(36). 11660–11667. 4 indexed citations
18.
Stapleton, Genevieve, Maria Patrizia Somma, & Patrizia Lavia. (1993). Cell type-specific interactions of transcription factors with a housekeeping promoterin vivo. Nucleic Acids Research. 21(10). 2465–2471. 20 indexed citations
19.
Somma, Maria Patrizia, Claudio Pisano, & Patrizia Lavia. (1991). The housekeeping promoter from the mouse CpG island HTF9 contains multiple protein-binding elements that are functionally redundant. Nucleic Acids Research. 19(11). 2817–2824. 31 indexed citations
20.
Carotti, Daniela, et al.. (1989). In vitromethylation of CpG-rich islands. Nucleic Acids Research. 17(22). 9219–9229. 26 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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