Donato Sauchelli

695 total citations
9 papers, 195 citations indexed

About

Donato Sauchelli is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Donato Sauchelli has authored 9 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Surgery. Recurrent topics in Donato Sauchelli's work include Mitochondrial Function and Pathology (3 papers), Peripheral Neuropathies and Disorders (2 papers) and Metabolism and Genetic Disorders (2 papers). Donato Sauchelli is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Peripheral Neuropathies and Disorders (2 papers) and Metabolism and Genetic Disorders (2 papers). Donato Sauchelli collaborates with scholars based in Italy, Japan and United States. Donato Sauchelli's co-authors include Serenella Servidei, Guido Primiano, Daniela Bernardo, Amelia Evoli, Mariapaola Marino, Flavia Scuderi, Emanuela Bartoccioni, Sofia Chiatamone Ranieri, Tommaso Sanna and Michela Catteruccia and has published in prestigious journals such as Neurology, Clinical Neurophysiology and Journal of Neurology.

In The Last Decade

Donato Sauchelli

9 papers receiving 194 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donato Sauchelli Italy 6 84 81 31 31 29 9 195
İbrahim Öncel Türkiye 7 87 1.0× 27 0.3× 30 1.0× 10 0.3× 15 0.5× 23 153
Shakti Agrawal United Kingdom 11 73 0.9× 143 1.8× 23 0.7× 29 0.9× 15 0.5× 16 305
Can Ebru Bekircan‐Kurt Türkiye 10 73 0.9× 103 1.3× 33 1.1× 11 0.4× 10 0.3× 39 233
Matthias Eckenweiler Germany 7 51 0.6× 32 0.4× 15 0.5× 25 0.8× 9 0.3× 22 126
Denis Graber France 7 114 1.4× 27 0.3× 28 0.9× 10 0.3× 12 0.4× 10 273
Arman Çakar Türkiye 8 86 1.0× 89 1.1× 33 1.1× 12 0.4× 27 0.9× 34 193
Ichraf Kraoua Tunisia 9 112 1.3× 111 1.4× 50 1.6× 45 1.5× 15 0.5× 64 270
Ágnes Herczegfalvi Hungary 9 168 2.0× 64 0.8× 26 0.8× 16 0.5× 6 0.2× 21 271
Benoît Rucheton France 7 117 1.4× 30 0.4× 42 1.4× 30 1.0× 7 0.2× 19 233
Jurģis Strautmanis Latvia 7 53 0.6× 121 1.5× 28 0.9× 6 0.2× 42 1.4× 15 240

Countries citing papers authored by Donato Sauchelli

Since Specialization
Citations

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

Fields of papers citing papers by Donato Sauchelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donato Sauchelli

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

All Works

9 of 9 papers shown
1.
Luigetti, Marco, Guido Primiano, Daniela Bernardo, et al.. (2018). Small fibre neuropathy in mitochondrial diseases explored with sudoscan. Clinical Neurophysiology. 129(8). 1618–1623. 11 indexed citations
2.
Servidei, Serenella, Guido Primiano, Valentina Muto, et al.. (2017). PLEC gene mutations cause familial disto-proximal myopathy and long QT syndrome mimicking mitochondrial disease. Neuromuscular Disorders. 27. S150–S151. 1 indexed citations
3.
Luigetti, Marco, Donato Sauchelli, Guido Primiano, et al.. (2016). Peripheral neuropathy is a common manifestation of mitochondrial diseases: a single‐centre experience. European Journal of Neurology. 23(6). 1020–1027. 30 indexed citations
4.
Catteruccia, Michela, Donato Sauchelli, Giacomo Della Marca, et al.. (2015). “Myo-cardiomyopathy” is commonly associated with the A8344G “MERRF” mutation. Journal of Neurology. 262(3). 701–710. 39 indexed citations
5.
Primiano, Guido, Domenico Plantone, Donato Sauchelli, et al.. (2014). Acute refractory intestinal pseudo-obstruction in MELAS: Efficacy of prucalopride. Neurology. 82(21). 1932–1934. 10 indexed citations
6.
Primiano, Guido, Domenico Plantone, Donato Sauchelli, et al.. (2012). Resolution of Muscle Inflammation After Tumor Removal in a Woman with Paraneoplastic Dermatomyositis. The Journal of Rheumatology. 39(12). 2359–2360. 4 indexed citations
7.
Capone, Fioravante, Donato Sauchelli, I. De Vitis, et al.. (2011). Hypoglossal palsy and coeliac disease: An uncommon presentation for a common disease?. Clinical Neurology and Neurosurgery. 113(5). 426–429. 1 indexed citations
8.
Catteruccia, Michela, Tommaso Sanna, Filippo M. Santorelli, et al.. (2009). Rippling muscle disease and cardiomyopathy associated with a mutation in the CAV3 gene. Neuromuscular Disorders. 19(11). 779–783. 30 indexed citations
9.
Bartoccioni, Emanuela, Flavia Scuderi, Sofia Chiatamone Ranieri, et al.. (2009). HLA class II allele analysis in MuSK-positive myasthenia gravis suggests a role for DQ5. Neurology. 72(2). 195–197. 69 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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