Luisa Politano

9.1k total citations
145 papers, 4.0k citations indexed

About

Luisa Politano is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Luisa Politano has authored 145 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 59 papers in Cardiology and Cardiovascular Medicine and 40 papers in Cellular and Molecular Neuroscience. Recurrent topics in Luisa Politano's work include Muscle Physiology and Disorders (62 papers), Cardiomyopathy and Myosin Studies (43 papers) and Genetic Neurodegenerative Diseases (38 papers). Luisa Politano is often cited by papers focused on Muscle Physiology and Disorders (62 papers), Cardiomyopathy and Myosin Studies (43 papers) and Genetic Neurodegenerative Diseases (38 papers). Luisa Politano collaborates with scholars based in Italy, France and Poland. Luisa Politano's co-authors include Gerardo Nigro, L.I. Comi, Vincenzo Nigro, R.J.I. Bain, Giulio Piluso, Gerardo Nigro, Alberto Palladino, Esther Picillo, Emanuela Viggiano and Luigia Passamano and has published in prestigious journals such as JAMA, Nature Communications and Nature Genetics.

In The Last Decade

Luisa Politano

141 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luisa Politano Italy 31 3.0k 1.7k 965 492 386 145 4.0k
Lucía Morandi Italy 43 3.7k 1.2× 786 0.5× 754 0.8× 835 1.7× 613 1.6× 143 5.2k
Gunnar Buyse Belgium 28 2.2k 0.7× 578 0.3× 643 0.7× 322 0.7× 238 0.6× 89 3.2k
Rosaline C. M. Quinlivan United Kingdom 31 1.5k 0.5× 568 0.3× 505 0.5× 376 0.8× 209 0.5× 157 2.9k
Adele D’Amico Italy 36 3.0k 1.0× 661 0.4× 550 0.6× 1.3k 2.6× 320 0.8× 168 4.2k
Giulio Piluso Italy 26 2.0k 0.7× 516 0.3× 484 0.5× 316 0.6× 423 1.1× 83 2.5k
B. Estournet France 27 2.2k 0.7× 706 0.4× 450 0.5× 599 1.2× 375 1.0× 72 2.9k
Claudio Bruno Italy 37 3.3k 1.1× 482 0.3× 483 0.5× 678 1.4× 697 1.8× 146 4.6k
Simone Spuler Germany 34 2.0k 0.7× 444 0.3× 310 0.3× 287 0.6× 330 0.9× 104 3.3k
Anneke J. van der Kooi Netherlands 45 3.2k 1.1× 1.4k 0.8× 929 1.0× 1.3k 2.6× 495 1.3× 151 6.4k
M. Tulinius Sweden 42 4.0k 1.3× 477 0.3× 597 0.6× 1.0k 2.0× 128 0.3× 126 4.9k

Countries citing papers authored by Luisa Politano

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Politano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Politano

This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Politano. A scholar is included among the top collaborators of Luisa Politano 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 Luisa Politano. Luisa Politano 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
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Traverso, Monica, Michele Iacomino, Marco Di Duca, et al.. (2024). DAG1 haploinsufficiency is associated with sporadic and familial isolated or pauci-symptomatic hyperCKemia. European Journal of Human Genetics. 32(3). 342–349. 1 indexed citations
3.
Torella, Annalaura, Francesca Del Vecchio Blanco, Esther Picillo, et al.. (2023). Alu-Mediated Insertions in the DMD Gene: A Difficult Puzzle to Interpret Clinically. International Journal of Molecular Sciences. 24(11). 9241–9241. 2 indexed citations
4.
Viggiano, Emanuela, Esther Picillo, Luigia Passamano, et al.. (2023). Spectrum of Genetic Variants in the Dystrophin Gene: A Single Centre Retrospective Analysis of 750 Duchenne and Becker Patients from Southern Italy. Genes. 14(1). 214–214. 9 indexed citations
5.
Brogna, Claudia, Marika Pane, Giorgia Coratti, et al.. (2023). Upper Limb Changes in DMD Patients Amenable to Skipping Exons 44, 45, 51 and 53: A 24-Month Study. Children. 10(4). 746–746. 2 indexed citations
6.
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Savarese, Marco, et al.. (2022). Bi-Allelic DES Gene Variants Causing Autosomal Recessive Myofibrillar Myopathies Affecting Both Skeletal Muscles and Cardiac Function. International Journal of Molecular Sciences. 23(24). 15906–15906. 6 indexed citations
8.
Agosto, Caterina, et al.. (2021). How to define and enhance diagnostic and assistance pathways in neuromuscular diseases during the COVID-19 pandemic: the concept of network. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 2 indexed citations
9.
Vita, Gian Luca, et al.. (2021). Have Duchenne Muscular Dystrophy Patients an Increased Cancer Risk?. Journal of Neuromuscular Diseases. 8(6). 1063–1067. 3 indexed citations
10.
Palladino, Alberto, Andrea Antonio Papa, Vincenzo Russo, et al.. (2019). Are there real benefits to implanting cardiac devices in patients with end-stage dilated dystrophinopathic cardiomyopathy? Review of literature and personal results.. PubMed. 38(1). 1–7. 10 indexed citations
11.
Spitali, Pietro, Kristina Hettne, Roula Tsonaka, et al.. (2018). Cross‐sectional serum metabolomic study of multiple forms of muscular dystrophy. Journal of Cellular and Molecular Medicine. 22(4). 2442–2448. 27 indexed citations
12.
Russo, Russo, Andrea Antonio Papa, Anna Rago, et al.. (2016). Increased heterogeneity of ventricular repolarization in myotonic dystrophy type 1 population.. PubMed Central. 35(2). 100–106. 9 indexed citations
13.
Viggiano, Emanuela, Manuela Ergoli, Esther Picillo, & Luisa Politano. (2016). Determining the role of skewed X-chromosome inactivation in developing muscle symptoms in carriers of Duchenne muscular dystrophy. Human Genetics. 135(7). 685–698. 48 indexed citations
14.
Politano, Luisa & Gerardo Nigro. (2016). Managing dystrophinopathic cardiomyopathy. Expert Opinion on Orphan Drugs. 4(11). 1159–1178. 4 indexed citations
15.
Petillo, Roberta, Paola D′Ambrosio, Annalaura Torella, et al.. (2015). Novel mutations in LMNA A/C gene and associated phenotypes.. PubMed Central. 34(2-3). 116–9. 18 indexed citations
16.
Savarese, Marco, Giuseppina Di Fruscio, Giorgio Tasca, et al.. (2015). Next generation sequencing on patients with LGMD and nonspecific myopathies: Findings associated with ANO5 mutations. Neuromuscular Disorders. 25(7). 533–541. 51 indexed citations
17.
Piluso, Giulio, Francesca Del Vecchio Blanco, Annalaura Torella, et al.. (2011). Motor Chip: A Comparative Genomic Hybridization Microarray for Copy-Number Mutations in 245 Neuromuscular Disorders. Clinical Chemistry. 57(11). 1584–1596. 35 indexed citations
18.
Politano, Luisa, et al.. (2003). ST-segment displacement in Duchenne muscular dystrophy: myocardial necrosis or apoptosis?. PubMed. 22(1). 5–10. 8 indexed citations
19.
Piluso, Giulio, et al.. (2002). Mutation spectrum of CAPN3 gene in LGMD2A patients in Croatia. European Journal of Human Genetics. 10. 181–182. 1 indexed citations
20.
Comi, L.I., Gerardo Nigro, Luisa Politano, & V Petretta. (1992). The cardiomyopathy of Duchenne/Becker consultands. International Journal of Cardiology. 34(3). 297–305. 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.

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