M.L. Mostacciuolo
Impact in
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research
-
- Neurological diseases and metabolism
Papers in ⓘ
-
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Muscle Physiology and Disorders 2
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- Hereditary Neurological Disorders 6
- Genetic Neurodegenerative Diseases 3
- Co-authors
- C. Angelini (6 shared papers)G Danieli (4 shared papers)Giovanni Vazza (5 shared papers)Andrea Vettori (5 shared papers)C Villanova (1 shared paper)Sergio Dalla Volta (1 shared paper)M.P. Freda (1 shared paper)G Fasoli (1 shared paper)
- Journals
- Neuroepidemiology (2 papers)Neurology (2 papers)Neuromuscular Disorders (2 papers)Gene (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
M.L. Mostacciuolo
17 papers receiving 457 citations
Peers
Comparison fields: 5 of 54
- Genetics 88
- Neurology 61
- Cellular and Molecular Neuroscience 113
- Cardiology and Cardiovascular Medicine 119
- Clinical Biochemistry 33
Countries citing papers authored by M.L. Mostacciuolo
This map shows the geographic impact of M.L. Mostacciuolo'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 M.L. Mostacciuolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.L. Mostacciuolo more than expected).
Fields of papers citing papers by M.L. Mostacciuolo
This network shows the impact of papers produced by M.L. Mostacciuolo. 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 M.L. Mostacciuolo. The network helps show where M.L. Mostacciuolo may publish in the future.
Co-authors
The 25 scholars most cited alongside M.L. Mostacciuolo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 139 | |
| 2 | 2003 | 70 | |
| 3 | 1992 | 35 | |
| 4 | 1992 | 35 | |
| 5 | 2003 | 26 | |
| 6 | 2010 | 23 | |
| 7 | 2013 | 22 | |
| 8 | 1992 | 22 | |
| 9 | 1995 | 16 | |
| 10 | 2003 | 15 | |
| 11 | 1996 | 14 | |
| 12 | 2003 | 13 | |
| 13 | 2014 | 10 | |
| 14 | 1994 | 9 | |
| 15 | 1992 | 7 | |
| 16 | 2006 | 6 | |
| 17 | 1993 | 4 | |
| 18 | A linkage study in a large family by using 12 probes of the pericentromeric region | 1991 | 0 |
About M.L. Mostacciuolo
M.L. Mostacciuolo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Surgery, having authored 18 papers that have together received 466 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), RNA Research and Splicing (3 papers), Genetic Neurodegenerative Diseases (3 papers), Neurological diseases and metabolism (3 papers), RNA modifications and cancer (3 papers), Cardiomyopathy and Myosin Studies (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Genetics (88 citations), Neurology (61 citations), Cellular and Molecular Neuroscience (113 citations), Cardiology and Cardiovascular Medicine (119 citations) and Clinical Biochemistry (33 citations). M.L. Mostacciuolo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include C. Angelini, G Danieli, Giovanni Vazza, Andrea Vettori, C Villanova, Sergio Dalla Volta, M.P. Freda, G Fasoli, Paola Melacini and Marta Miorin. Their work appears in journals such as Neuroepidemiology, Neurology, Neuromuscular Disorders, Gene and Human Molecular Genetics.
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.