Luca Colantoni

753 total citations
18 papers, 566 citations indexed

About

Luca Colantoni is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Luca Colantoni has authored 18 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Luca Colantoni's work include Muscle Physiology and Disorders (13 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Cardiomyopathy and Myosin Studies (6 papers). Luca Colantoni is often cited by papers focused on Muscle Physiology and Disorders (13 papers), Neurogenetic and Muscular Disorders Research (6 papers) and Cardiomyopathy and Myosin Studies (6 papers). Luca Colantoni collaborates with scholars based in Italy, Albania and United Kingdom. Luca Colantoni's co-authors include Enzo Ricci, Giuliana Galluzzi, L. Felicetti, Giancarlo Deidda, S. Cacurri, Eliana Vigneti, Barbara Merico, Francesca Mangiola, P. Tonali and Serenella Servidei and has published in prestigious journals such as Annals of Neurology, International Journal of Molecular Sciences and The American Journal of Human Genetics.

In The Last Decade

Luca Colantoni

18 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Colantoni Italy 10 474 150 147 126 69 18 566
J.C. van den Bergen Netherlands 12 507 1.1× 116 0.8× 132 0.9× 79 0.6× 60 0.9× 23 602
Adnan Manzur United Kingdom 13 453 1.0× 74 0.5× 133 0.9× 126 1.0× 55 0.8× 37 588
S. Cacurri Italy 6 457 1.0× 141 0.9× 173 1.2× 133 1.1× 52 0.8× 6 507
Elisabetta Iannaccone Italy 11 413 0.9× 146 1.0× 169 1.1× 127 1.0× 25 0.4× 16 550
Luigia Passamano Italy 11 645 1.4× 134 0.9× 336 2.3× 153 1.2× 65 0.9× 28 794
Erika Finanger United States 12 568 1.2× 150 1.0× 159 1.1× 94 0.7× 38 0.6× 26 682
Gerardo Nigro Italy 14 517 1.1× 163 1.1× 358 2.4× 132 1.0× 67 1.0× 41 854
Marianna Scutifero Italy 9 334 0.7× 49 0.3× 146 1.0× 104 0.8× 40 0.6× 19 436
L. Specht United States 7 499 1.1× 168 1.1× 152 1.0× 83 0.7× 82 1.2× 11 613
Barbara Merico Italy 5 272 0.6× 87 0.6× 102 0.7× 72 0.6× 31 0.4× 6 339

Countries citing papers authored by Luca Colantoni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Colantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Colantoni

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

All Works

18 of 18 papers shown
1.
Colantoni, Luca, Guido Primiano, Cristina Sancricca, et al.. (2024). Deciphering the Complexity of FSHD: A Multimodal Approach as a Model for Rare Disorders. International Journal of Molecular Sciences. 25(20). 10949–10949. 1 indexed citations
2.
Strafella, Claudia, Luca Colantoni, Guido Primiano, et al.. (2023). Characterization of D4Z4 alleles and assessment of de novo cases in Facioscapulohumeral dystrophy (FSHD) in a cohort of Italian families. Clinical Genetics. 105(3). 335–339. 3 indexed citations
3.
Caputo, Valerio, et al.. (2023). Epigenetic profiling of the D4Z4 locus: Optimization of the protocol for studying DNA methylation at single CpG site level. Electrophoresis. 44(19-20). 1588–1594. 1 indexed citations
4.
Strafella, Claudia, Valerio Caputo, Sara Bortolani, et al.. (2023). Whole exome sequencing highlights rare variants in CTCF, DNMT1, DNMT3A, EZH2 and SUV39H1 as associated with FSHD. Frontiers in Genetics. 14. 1235589–1235589. 10 indexed citations
5.
Fabrizio, Carlo, Claudia Strafella, Raffaella Cascella, et al.. (2022). Relationship between Nutrition, Lifestyle, and Neurodegenerative Disease: Lessons from ADH1B, CYP1A2 and MTHFR. Genes. 13(8). 1498–1498. 4 indexed citations
6.
Caputo, Valerio, Carlo Fabrizio, Andrea Termine, et al.. (2022). D4Z4 Methylation Levels Combined with a Machine Learning Pipeline Highlight Single CpG Sites as Discriminating Biomarkers for FSHD Patients. Cells. 11(24). 4114–4114. 8 indexed citations
7.
Caputo, Valerio, Carlo Fabrizio, Andrea Termine, et al.. (2022). Update on the Molecular Aspects and Methods Underlying the Complex Architecture of FSHD. Cells. 11(17). 2687–2687. 15 indexed citations
8.
Caputo, Valerio, Luca Colantoni, Andrea Termine, et al.. (2021). Comparative analysis of antigen and molecular tests for the detection of Sars-CoV-2 and related variants: A study on 4266 samples. International Journal of Infectious Diseases. 108. 187–189. 9 indexed citations
9.
Zampatti, Stefania, Luca Colantoni, Claudia Strafella, et al.. (2019). Facioscapulohumeral muscular dystrophy (FSHD) molecular diagnosis: from traditional technology to the NGS era. Neurogenetics. 20(2). 57–64. 18 indexed citations
10.
Strafella, Claudia, Valerio Caputo, Luca Colantoni, et al.. (2019). The variability of SMCHD1 gene in FSHD patients: evidence of new mutations. Human Molecular Genetics. 28(23). 3912–3920. 9 indexed citations
11.
Cascella, Raffaella, Claudia Strafella, Valerio Caputo, et al.. (2018). Digenic Inheritance of Shortened Repeat Units of the D4Z4 Region and a Loss-of-Function Variant in SMCHD1 in a Family With FSHD. Frontiers in Neurology. 9. 1027–1027. 10 indexed citations
12.
Angelucci, Francesco & Luca Colantoni. (2009). Facioscapulohumeral muscular dystrophy: Do neurotrophins play a role?. Muscle & Nerve. 41(1). 120–127. 2 indexed citations
13.
Angelucci, Francesco, Gianfranco Spalletta, Fulvia Di Iulio, et al.. (2009). P2‐037: Alzheimer'S disease (ad) and mild cognitive impairment (mci) patients are characterized by increased bdnf serum levels. Alzheimer s & Dementia. 5(4S_Part_9). 42 indexed citations
14.
Rossi, Mônica Lanzoni, Enzo Ricci, Luca Colantoni, et al.. (2007). The Facioscapulohumeral muscular dystrophy region on 4qter and the homologous locus on 10qter evolved independently under different evolutionary pressure. BMC Medical Genetics. 8(1). 8–8. 23 indexed citations
16.
Ricci, Enzo, Giuliana Galluzzi, Giancarlo Deidda, et al.. (1999). Progress in the molecular diagnosis of facioscapulohumeral muscular dystrophy and correlation between the number ofKpnI repeats at the 4q35 locus and clinical phenotype. Annals of Neurology. 45(6). 751–757. 232 indexed citations
17.
18.
Cacurri, S., Giancarlo Deidda, Eliana Vigneti, et al.. (1998). Sequence Homology between 4qter and 10qter Loci Facilitates the Instability of Subtelomeric KpnI Repeat Units Implicated in Facioscapulohumeral Muscular Dystrophy. The American Journal of Human Genetics. 63(1). 181–190. 48 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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