S. Di Mauro
- Molecular Biology
- Clinical Biochemistry top 2%
- Rheumatology top 10%
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- P. TonaliMassimo ZevianiGabriella SilvestriSerenella ServideiC. AngeliniMassimiliano MirabellaG. SalviatiAlfredo Margreth
- Topics
- Glycogen Storage Diseases and Myoclonus (8 papers)Mitochondrial Function and Pathology (8 papers)Metabolism and Genetic Disorders (7 papers)
- Partner nations
- United StatesItalySweden
In The Last Decade
S. Di Mauro
22 papers receiving 849 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 620
- Clinical Biochemistry 252
- Rheumatology 161
- Cellular and Molecular Neuroscience 144
- Endocrinology, Diabetes and Metabolism 107
Countries citing papers authored by S. Di Mauro
This map shows the geographic impact of S. Di Mauro'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 S. Di Mauro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Di Mauro more than expected).
Fields of papers citing papers by S. Di Mauro
This network shows the impact of papers produced by S. Di Mauro. 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 S. Di Mauro. The network helps show where S. Di Mauro may publish in the future.
Co-authorship network of co-authors of S. Di Mauro
This figure shows the co-authorship network connecting the top 25 collaborators of S. Di Mauro. A scholar is included among the top collaborators of S. Di Mauro 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 S. Di Mauro. S. Di Mauro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pathogenesis and treatment of mitochondrialmyopathies: recent advances | 17 |
| 2 | 2 | |
| 3 | Neuromuscular forms of glycogen branching enzyme deficiency. | 22 |
| 4 | Muscle glycogenoses: an overview. | 44 |
| 5 | 4 | |
| 6 | 67 | |
| 7 | 31 | |
| 8 | 9 | |
| 9 | 122 | |
| 10 | 40 | |
| 11 | 108 | |
| 12 | Clinical syndromes associated with ragged red fibers. | 61 |
| 13 | [Clinical,manifestations of the myopathies due to deletions/mutations of the dystrophin gene]. | 1 |
| 14 | 136 | |
| 15 | 54 | |
| 16 | 32 | |
| 17 | 68 | |
| 18 | 3 | |
| 19 | 30 | |
| 20 | 27 |
About S. Di Mauro
S. Di Mauro is a scholar working on Clinical Biochemistry, Rheumatology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 888 indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (8 papers), Mitochondrial Function and Pathology (8 papers) and Metabolism and Genetic Disorders (7 papers). The work is most often cited by research in Clinical Biochemistry (252 citations), Rheumatology (161 citations) and Molecular Biology (620 citations). S. Di Mauro has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include P. Tonali, Massimo Zeviani, Gabriella Silvestri, Serenella Servidei, C. Angelini, Massimiliano Mirabella, G. Salviati, Alfredo Margreth, R. Gallassi and E Lugaresi. Their work appears in journals such as The Journal of Cell Biology, Neurology and Journal of Bone and Mineral 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.