Marcello Villanova
- Molecular Biology top 5%
- Genetics top 2%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Physiology top 10%
- Co-authors
- Alessandro MalandriniEnrico BertiniMichel FardeauLuciano MerliniSilvia PalmeriPatrizia SabatelliPaolo TotiFrancesco Muntoni
- Topics
- Muscle Physiology and Disorders (24 papers)Nuclear Structure and Function (11 papers)Cardiomyopathy and Myosin Studies (11 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Marcello Villanova
85 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.3k
- Genetics 477
- Cellular and Molecular Neuroscience 385
- Neurology 289
- Physiology 274
Countries citing papers authored by Marcello Villanova
This map shows the geographic impact of Marcello Villanova'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 Marcello Villanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Villanova more than expected).
Fields of papers citing papers by Marcello Villanova
This network shows the impact of papers produced by Marcello Villanova. 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 Marcello Villanova. The network helps show where Marcello Villanova may publish in the future.
Co-authorship network of co-authors of Marcello Villanova
This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Villanova. A scholar is included among the top collaborators of Marcello Villanova 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 Marcello Villanova. Marcello Villanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 55 | |
| 4 | 16 | |
| 5 | 34 | |
| 6 | Upregulation of SMN2 gene expression by 4-phenylbutyrate: relevance for a therapeutic approach to spinal muscular atrophy. | 2 |
| 7 | 33 | |
| 8 | 33 | |
| 9 | 92 | |
| 10 | Immunolocalization of several laminin chains in the normal human central and peripheral nervous system. | 13 |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 12 | |
| 15 | 15 | |
| 16 | 10 | |
| 17 | 54 | |
| 18 | 30 | |
| 19 | 39 | |
| 20 | Neurite sprouting and cytoskeletal pathology in Alzheimer's disease: a comparative study with monoclonal antibodies to growth associated protein B-50 and paired helical filaments | 7 |
About Marcello Villanova
Marcello Villanova is a scholar working on Neurology, Immunology and Allergy and Genetics, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), Nuclear Structure and Function (11 papers) and Cardiomyopathy and Myosin Studies (11 papers). The work is most often cited by research in Genetics (477 citations), Cellular and Molecular Neuroscience (385 citations) and Neurology (289 citations). Marcello Villanova has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Alessandro Malandrini, Enrico Bertini, Michel Fardeau, Alessandro Malandrini, Luciano Merlini, Silvia Palmeri, Patrizia Sabatelli, Paolo Toti, Francesco Muntoni and Antonio Federico. Their work appears in journals such as Neurology, Annals of Neurology and Brain Research.
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.