S. Di Donato

664 total citations
17 papers, 487 citations indexed

About

S. Di Donato is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, S. Di Donato has authored 17 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Clinical Biochemistry. Recurrent topics in S. Di Donato's work include Mitochondrial Function and Pathology (8 papers), Genetic Neurodegenerative Diseases (8 papers) and Metabolism and Genetic Disorders (5 papers). S. Di Donato is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), Genetic Neurodegenerative Diseases (8 papers) and Metabolism and Genetic Disorders (5 papers). S. Di Donato collaborates with scholars based in Italy, France and Canada. S. Di Donato's co-authors include Gaetano Finocchiaro, Caterina Mariotti, Franco Taroni, Cinzia Gellera, M. Rimoldi, P. Micossi, G. Pozza, Rossana Mineri, Davide Pareyson and Barbara Castellotti and has published in prestigious journals such as Neurology, American Journal of Neuroradiology and European Journal of Human Genetics.

In The Last Decade

S. Di Donato

17 papers receiving 467 citations

Peers

S. Di Donato
Comparison fields: 5 of 59
  • Molecular Biology 331
  • Cellular and Molecular Neuroscience 283
  • Neurology 149
  • Clinical Biochemistry 73
  • Neurology 54
Replace M. Kéfi with:
M. Kéfi Tunisia
Yosr Bouhlal Tunisia
Ilhem Turki Tunisia
Emmanuelle C. Genin France
B. Lemieux Canada
Gloria M. Palomo Spain
Andrés Berardo United States
Agnès Rastetter France
Elena Sánchez-Ferrero Spain
Maya Ando Japan
M. Kéfi Tunisia View profile →
Citations per field, relative to S. Di Donato
S. Di Donato · 1×
Citations per year, relative to S. Di Donato
S. Di Donato · 1×

Countries citing papers authored by S. Di Donato

Since Specialization
Citations

This map shows the geographic impact of S. Di Donato'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 Donato 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 Donato more than expected).

Fields of papers citing papers by S. Di Donato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Di Donato. 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 Donato. The network helps show where S. Di Donato may publish in the future.

Co-authorship network of co-authors of S. Di Donato

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 34
2 101
3 40
4 12
5 33
6 8
7 3
8
A 1.5-Mb deletion in 17p11.2-p12 is frequently observed in Italian families with hereditary neuropathy with liability to pressure palsies.
39
9 13
10
Sialidosis type I: pathological study in an adult.
20
11 78
12 44
13 28
14 2
15
Computed tomography of olivopontocerebellar degeneration.
11
16 7
17 14

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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2026